Do we have a problem if it works?

Recently I have become more positive on the outlook for the European and US economies. It seems like the ECB has finally recognised that it need to ease monetary policy to avoid a deflationary disaster and judging from the development in broad monetary aggregates in the US there are signs that things are also moving in the right direction in the US economy.

If investors and consumers are jumping on the happy-go-lucky bandwagon then we might even see the money velocity in the US and the euro zone  begin to inch up. If both broad money supply growth is picking up and velocity would be inching upward then nominal GDP and inflation would also be accelerating and as any Market Monetarist will tell you expectations are key so the recovery could be very swift if market participants start to think that central banks are willing to accept as short-term pick up inflation to achieve a higher level of NGDP.

Lets be really optimistic and say that US inflation jumps to 5% in the coming half year and real GDP also increases to 5% (there are no signs that that is happening). That would give us 10% NGDP growth and we would finally be closing the “NGDP gap” and start to return to the pre-crisis trend. What would happen in that situation? Well, some of us would happy, but there is no doubt that the fears of “runaway inflation” would increase. As somebody asked me the other day “will you be able to stop inflation getting out of control if you have 2 years in a row with 5 or 7% inflation?” My answer was “Clearly!”, but I must also admit that I am more worried than that answer reflected.

Hence, in my view there is a real risk that if monetary policy is eased in the present “stealth” fashion then it will be much harder to anchor expectations – and more importantly it might be harder to get policy makers back to the idea that high inflation is bad. No, please do remember that we are not inflationists. Inflation is bad – at least demand inflation is bad.

Therefore, I think that even if nominal GDP growth starts to pick up I think is extremely important that we keep arguing in favour of NGDP level targeting. We don’t want “stimulus” to bring us out of the present mess. No, we want a monetary regime that ensures us against ever to get into this situation again. So yes, we should clearly argue for monetary easing now, but it is much more important that sound monetary regimes are implemented.

Lets say I had the choice between increasing euro NGDP with 15% right now but also maintain the overall present monetary regime in Europe (with all its faults) or have a monetary regime based NGDP level targeting (but from present levels) then I surely would prefer the later.

Guest blog: Why Price-Level Targeting Pareto Dominates Inflation Targeting (By David Eagle)

Guest blog: Why Price-Level Targeting Pareto Dominates Inflation Targeting

– And a Bizarre Tale of Blind Macroeconomists

By David Eagle

Some central banks throughout the world, including the Central bank of Canada and the Federal Reserve, have been considering Price-Level Targeting (PLT) as an alternative to Inflation Targeting (IT). In this guest blog, I present my argument why PLT Pareto dominates IT.  My argument is simple, and one that many readers will consider so obvious that they would expect most monetary economists to be already aware of this Pareto domination.

Please read the following quotation from Shukayev and Ueberfeldt (2010):

Various papers have suggested that Price-Level targeting is a welfare improving policy relative to Inflation targeting. … Research on Inflation targeting and Price-level Targeting monetary policy regimes shows that a credible Price-level Targeting (PT) regime dominates an Inflation targeting regime.

Reading the above quotation indicates that economists already know that PLT Pareto dominates IT.  However, there is a bizarre twist to this literature, which we will discuss later in this blog.  I ask you to continue patiently reading and trust that the ending to the blog will be well worth the journey, even to market monetarists who oppose both PLT and IT.

In my last guest blog for The Market Monetarist, I discussed what I called the Two Fundamental Welfare Principles of Monetary Economics.  The First Principle concerned the Pareto implications when nominal GDP (NGDP) changes, but real GDP (RGDP) does not.  The Second Principle concerned the Pareto implications when RGDP changes, but NGDP does not.  Since PLT and IT have the same Pareto implications when RGDP changes, but NGDP does not; let us focus on the First Principle.  To do so, assume an economy where RGDP is known with perfect foresight; then the First Principle always applies.

A Nominal-Loan Example – Initial Expectations

Let us again consider a long term nominal loan.  This time, I will explain my argument with an example.  For this example, assume a €200,000 nominal mortgage with a 7.2% p.a. interest rate, compounded monthly, and a term of 15-years, and fixed, fully amortizing nominal monthly payments.  The monthly payment would then be a nominal €1820.09.  Let us assume that individual B borrowed the €200,000 from individual A.   The €1820.09 is the nominal amount B must pay A each month.

Let us also assume that both A and B expect inflation to be 2.4% p.a., compounded monthly, during this period.  They therefore built that expected inflation rate into their 7.2% p.a. negotiated nominal interest rate.[1]   Please note that in Finance, we second-naturedly convert per annum rates to per month rates when the rate is compounded monthly.  Thus, the 7.2% p.a. is actually 0.6% per month, and the 2.4% p.a. inflation rate is 0.2% per month.  While this monthly compounding adds an extra step and a source of confusion, I believe the gain in the realism of the example is worth it.

If inflation is the 2.4% p.a. expected rate, then the real value of the monthly payment at time t will equal 1820.09/(1.002)t where t is the number of months from the loan’s origination.  Since both A and B expect the inflation rate to be 2.4% p.a., compounded monthly, their expected real value[2] of this monthly loan payment at time t will be 1820.09/(1.002)t

As I discussed in my second guest blog on the Market Monetarist, PLT and IT have the same effect on the economy as long as the central bank is successful at meeting its target, whether that target is a price-level target or an inflation target.  Let us assume that under IT, the central bank’s inflation target is 2.4% p.a., whereas under PLT, the central bank’s price-level target at time t is 100(1.002)t.  Hence, under both PLT and IT, the central bank’s initial price-level trajectory is 100(1.002)t.

Scenarios of Missing the Target

When PLT and IT differ is when the central bank misses its target.  Suppose inflation on average over the first year turns out to be 1.2% p.a. instead of the expected  2.4% p.a (both rates are compounded monthly).  To be more clear given the monthly compounding issue, the central bank’s initially trajectory of the price level at one year (or at time t=12 months) was 100(1.002)12 = 102.43; however, the actual price level at one year turned out to be 100(1.001)12 = 101.21.  Under PLT, the central bank will try to return the economy to its initial price-level target of 100(1.002)t.  However, under IT, the central bank would shift its price-level trajectory to 101.21(1.002)t-12, which is less than the initial price-level trajectory of 100(1.002)t.  This is the phenomenon we call price-level base drift, which is caused by the central bank under IT letting bygones be bygones and merely aiming for future inflation to be consistent with its inflation target; the central bank under IT does not try to make up for lost ground.

The real value of the nominal loan payment at time t=12 when the actual inflation rate turns out to be1.2% 1820.09/1.00112 = €1798.39, which is greater than the expected nominal loan payment of €1776.97.

On the other hand, assume that the inflation rate on average over the first year was 3.6% p.a. rather than the targeted 2.4% p.a. This means that the actual price level at one year turned out to be 100(1.003)12 = 103.66.  Under PLT, the central bank would have tried to return the economy to its initial price-level target of 100(1.002)t.  However, under IT, the central bank would shift its price-level trajectory to 103.66(1.002)t-12, which is greater than the initial price-level trajectory of 100(1.002)t.

The real value of the nominal loan payment at time t=12 when the actual inflation rate was 3.6% instead of 2.4% is 1820.09/1.00312 = €1755,83, which is less that the initially expected value of €1776.97.

Comparing Actual to Expectations Beyond 12 Months

Because we are talking about four different scenarios, let PLT and IT represent PLT and IT when the inflation rate on average for the first year turns out to be 1.2% rather than 2.4%.  Let PLT+ and IT+ represent PLT and IT when the inflation on average for the first year turns out to be 3.6% rather than the expected 2.4%.  Under all four scenarios, assume that starting in at time t=24, which is 2 years after the loan began, the central bank is able to perfectly meet is price-level trajectory whether under PLT or IT and it does so for the remaining of the 15 years.

Under these assumptions, the real value of the monthly payment under PLT starting at time t=24 will be the same as expected because the central bank will get the price level back to its preannounced price-level target.  However, when the actual inflation rate for the first year turned out being 1.2%, the real value of the nominal monthly payment under IT would be 1820.09/((1.001)12(1.002)t-12) for t≥24 under the assumption the central bank (CB) then meets its target.  On the other hand, when the actual inflation rate for the first year turned out being 3.6%, the real value of the nominal monthly payment under IT would be 1820.09/((1.003)12(1.002)t-12) for t≥24 assuming the CB then meets its target.

The table below shows how the actual real values of these nominal loan payments compare to A and B’s original expectation under all four scenarios.

Note: This table only reports the payment at the end of each year.

That PLT Pareto dominates IT should be obvious from the table.  Under PLT, the central bank (CB) tries to get the real value of nominal loan payments to be back to what borrowers and lenders initially expected.  In other words, under PLT, the CB tries to reverse its mistakes.  Under IT, the CB makes its mistakes permanent.  Note that in the table under PLT, the real value of the nominal loan payments are as expected from time t=24 months on.  However, under IT, the real value of the nominal loan payments are either 1.21% less than expected when the CB fell short of its target, or 1.19% higher than expected when the CB overshot its target.  Clearly, both risk-averse borrowers and risk-averse lenders will be better off with the temporary deviations from expectations under PLT than under the permanent deviations under IT.

Kicking Borrowers or Lenders When They are Down

John Taylor referred to the price-level basis drift as the CB “letting bygones be bygones.”  After writing this blog, I have another view:  I view IT as meaning that when the CB hurts either borrowers or lenders because it is unable to meet its target, then the CB turns around and kicks that down borrower or lender again and again to make them suffer for the duration of their loan.  I have long opposed IT, but writing this blog makes me oppose it even more.  Why cannot other economists see IT for the Pareto damaging regime it is?

The issue of why PLT Pareto dominates IT is simple.  The risk to borrowers and lenders is not inflation risk; it is price-level risk.  To minimize price-level risk, we should not minimize inflation, we should minimize the deviation of the price-level from its expected value.  As such, when a central banking missing its target, it should not keep kicking those suffering from the CB’s past mistakes; the central bank should not make that miss permanent as in IT, but rather the CB should try to reverse that damage as it will try to do under PLT.  Hence PLT Pareto dominates IT.

The Bizarre Tale of the Blind Economists

Thank you all for bearing with me through my argument.  However, from the quote by Shukayev and Ueberfeldt, you knew that the economic profession already knew this.  After all, this is obvious.  (Lars, drink something before you read on; we don’t want your blood to boil too much.)

However, the argument that I gave is not the argument that the literature that Shukayev and Ueverfeldt cited.  That literature did not use the Pareto criterion; it used a loss function that included inflation.  (Yes, Lars, that xxxx loss function again.)

What the literature starting with Svenson (1999) found is that paradoxically when the central bank is trying to minimize a loss function involving inflation, it may actually be better able to do that through PLT than with IT.  That is what Shukayev and Ueverfeld (2010) meant when they said that the literature had found PLT welfare dominates IT.  That literature was referring to “welfare” as defined by their ad hoc loss function, not by their applying the Pareto criterion to the well being of borrowers and lenders.

Economists have been blinded from the obvious by their ad hoc assumption of a loss function involving inflation.  This bizarre twist to this literature is an example of the dangers that economists’ prejudices can enter into their ad hoc loss functions, causing them to miss the obvious.  In this case they have missed the obvious impacts on individual borrowers and lenders of PLT vs. IT.

Of course, there are other targeting regimes than just PLT and IT, but this blog focused on those two.  In my future writing, I plan to explain why NGDP level targeting Pareto dominates NGDP growth rate targeting, although the logic of that is really the same as I have just discussed; we just allow RGDP to vary so that the Second Fundamental Principle of Monetary Economics also applies.

Also, think about how the “kick them while they are down” characteristic of IT is relevant to the aftermath of the Financial crisis concerning the sovereign debt issues in Europe and the debt burdens on mortgage borrowers in the U.S. and elsewhere.  I guess I have to be careful here as I might be accused of starting riots.

References

Eagle, David and Dale Domian (2011), “Quasi-Real-Indexed Mortgages to the Rescue,” working paper delivered at the Western Economic Associating Meetings in San Diego, CA, http://www.cbpa.ewu.edu/~deagle/WEAI2011/QRIMs.doc

Shukayev, Malik and Alexander Ueberfeldt (2010).  “Price Level Targeting: What Is the Right Price?” Bank of Canada Working Paper 2010-8

Svensson, Lars E O, 1999. “Price-level Targeting versus Inflation Targeting: A Free Lunch?,”

Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 277-95, August.

© Copyright (2012) by David Eagle


[1] The traditional Fisher equation states that i @ r + E[π] where i is the nominal interest rate, r is the real interest rate, and π is the inflation rate.  A more exact relationship we use in Finance is (1+i)=(1+r)(1+E[π) where these rates are per compound period, in this case per month.  According to the approximate and traditional Fisher equation, the real interest rate would be 4.8%, which equals the 7.2% nominal rate less the 2.4% expected inflation (the more precise Fisher equation using the monthly rates concludes the real rate will be 4.79%).

[2] You may note that the real value of the monthly nominal payment is expected to decline over time.  In the mortgage literature, this is known as the “tilt effect” (See Eagle and Domian, 2011).


It’s time to get rid of the ”representative agent” in monetary theory

“Tis vain to talk of adding quantities which after the addition will continue to be as distinct as they were before; one man’s happiness will never be another man’s happiness: a gain to one man is no gain to another: you might as well pretend to add 20 apples to 20 pears.”

Jeremy Bentham, 1789

I have often felt that modern-day Austrian economists are fighting yesterday’s battles. They often seem to think that mainstream economists think as if they were the “market socialists” of the 1920s and that the “socialist-calculation-debate” is still on-going. I feel like screaming “wake up people! We won. No economist endorses central planning anymore!”

However, I am wrong. The Austrians are right. Many economists still knowingly or out of ignorance today endorse some of the worst failures of early-day welfare theory. Economists have known since the time of Jeremy Bentham that one man’s happiness can not be compared to another man’s happiness. Interpersonal utility comparison is a fundamental no-no in welfare theory. We cannot and shall not compare one person’s utility with another man’s utility. But this is exactly what “modern” monetary theorists do all the time.

Take any New Keynesian model of the style made famous by theorists like Michael Woodford. In these models the central banks is assumed to be independent (and benevolent). The central banker sets interest rates to minimize the “loss function” of a “representative agent”. Based on this kind of rationalisation economists like Woodford find theoretical justification for Taylor rule style monetary policy functions.

Nobody seems to find this problematic and it is often argued that Woodford even has provided the microeconomic foundation for these loss functions. Pardon my French, but that is bullsh*t. Woodford assumes that there is a representative agent. What is that? Imagine we introduced this character in other areas of economic research? Most economists would find that highly problematic.

There is no such thing as a representative agent. Let me illustrate it. The economy is hit by a negative shock to nominal GDP. With Woodford’s representative agent all agents in the economy is hit in the same way and the loss (or gain) is the same for all agents in the economy. No surprise – all agents are assumed to be the same. As a result there is no conflict between the objectives of different agents (there is basically only one agent).

But what if there are two agents in the economy. One borrower and one saver. The borrower is borrowing from the other agent at a fixed nominal interest rate. If nominal GDP drops then that will effectively be a transfer of wealth from the borrower to the saver.

This might of course of course make the Calvinist ideologue happy, but what would the modern day welfare theorist say?

The modern welfare theorist would of course apply a Pareto criterion to the situation and argue that only a monetary policy rule that ensures Pareto efficiency is a good monetary policy rule: An allocation is Pareto efficient if there is no other feasible allocation that makes at least one party better off without making anyone worse off. Hence, if the nominal GDP drops and lead to a transfer of wealth from one agent to another then a monetary policy that allows this does not ensure Pareto efficiency and is hence not an optimal monetary policy.

David Eagle has shown in a number of papers that only one monetary policy rule can ensure Pareto efficiency and that is NGDP level targeting (See David’s guest posts here, here and here). All other policy rules, inflation targeting, Price level targeting and NGDP growth targeting are all Pareto inefficient. Price level targeting, however, also ensures Pareto efficiency if there are no supply shocks in the economy.

This result is significantly more important than any result of New Keynesian analysis of monetary policy rules with a representative agent. Analysis based on the assumption of the representative agent completely fails to tell us anything about the present economic situation and the appropriate response to the crisis. Just think whether a model with a “representative country” in the euro zone or one with Greece (borrower) and Germany (saver) make more sense.

It is time to finally acknowledge that Bentham’s words also apply to monetary policy rules and finally get rid of the representative agent.

——

For a much more insightful and clever discussion of this topic see David Eagle’s paper “Pareto Efficiency vs. the Ad Hoc Standard Monetary Objective – An Analysis of Inflation Targeting” from 2005.

Guest Blog: The Two Fundamental Welfare Principles of Monetary Economics (By David Eagle)

I am extremely happy that David Eagle is continuing his series of guest blogs on my blog.

I strongly believe that David’s ideas are truly revolutionary and anybody who takes monetary policy and monetary theory serious should study  these ideas carefully. In this blog David presents what he has termed the “Two Fundamental Welfare Principles of Monetary Economics” as an clear alternative to the ad hoc loss functions being used in most of the New Keynesian monetary literature.

To me David Eagle here provides the clear microeconomic and welfare economic foundation for Market Monetarism. David’s thinking and ideas have a lot in common with George Selgin’s view of monetary theory – particularly in “Less than zero” (despite their clear methodological differences – David embraces math while George use verbal logic). Anybody that reads and understands David’s and George’s research will forever abandon the idea of a “Taylor function” and New Keynesian loss functions.

Enjoy this long, but very, very important blog post.

Lars Christensen

—————–

Guest Blog: The Two Fundamental Welfare Principles of Monetary Economics

by David Eagle

Good Inflation vs. Bad Inflation

At one time, doctors considered all cholesterol as bad.  Now they talk about good cholesterol and bad cholesterol.  Today, most economists considered all inflation uncertainty as bad, at least all core inflation uncertainty.  However, some economists including George Selgin (2002), Evan Koenig (2011), Dale Domian, and myself (and probably most of the market monetarists) believe that while aggregate-demand-caused inflation uncertainty is bad, aggregate-supply-caused inflation or deflation actually improves the efficiency of our economies.  Through inflation or deflation, nominal contracts under Nominal GDP (NGDP) targeting naturally provide the appropriate real-GDP risk sharing between borrowers and lenders, between workers and employers, and more generally between the payers and receivers of any prearranged nominal payment.  Inflation targeting (IT), price-level targeting (PLT), and conventional inflation indexing actually interfere with the natural risk sharing inherent in nominal contracts.

I am not the first economist to think this way as George Selgin (2002, p. 42) reports that “Samuel Bailey (1837, pp. 115-18) made much the same point.”  Also, the wage indexation literature that originated in the 1970s, makes the distinction between demand-induced inflation shocks and supply-induced inflation shocks, although that literature did not address the issue of risk sharing.

The Macroeconomic Ad Hoc Loss Function vs. Parerto Efficiency

The predominant view of most macroeconomists and monetary economists is that all inflation uncertainty is bad regardless the cause.  This view is reflected in the ad hoc loss function that forms the central foundation for conventional macroeconomic and monetary theory.  This loss function is often expressed as a weighted sum of the variances of (i) deviations of inflation from its target and (ii) output gap.  Macro/monetary economists using this loss function give the impression that their analyses are “scientific” because they often use control theory to minimize this function.  Nevertheless, as Sargent and Wallace (1975) noted, the form of this loss function is ad hoc; it is just assumed by the economist making the analysis.

I do not agree with this loss function and hence I am at odds with the vast majority of the macro/monetary economists.  However, I have neoclassical microfoundations on my side – our side when we include Selgin, Bailey, Koenig, Domian, and many of the market monetarists.  This ad hoc social loss function used as the basis for much of macroeconomic and monetary theory is basically the negative of an ad hoc social utility function.  The microeconomic profession has long viewed the Pareto criterion as vastly superior to and more “scientific” than ad hoc social utility functions that are based on the biased preconceptions of economists.  By applying the Pareto criterion instead of a loss function, Dale Domian and I found what I now call, “The Two Fundamental Welfare Principles of Monetary Economics.”  My hope is that these Fundamental Principles will in time supplant the standard ad hoc loss function approach to macro/monetary economics.

These Pareto-theoretic principles support what George Selgin (p. 42) stated in 2002 and what Samuel Bailey (pp. 115-18) stated in 1837.  Some economists have dismissed Selgin’s and Bailey’s arguments as “unscientific.”  No longer can they legitimately do so.  The rigorous application of neoclassical microeconomics and the Pareto criterion give the “scientific” support for Selgin’s and Bailey’s positions.  The standard ad-hoc-loss-function approach in macro- and monetary economics, on the other hand, is based on pulling this ad hoc loss function out of thin air without any “scientific” microfoundations basis.

Macroeconomists and monetary economists have applied the Pareto criterion to models involving representative consumers.  However, representative consumers miss the important ramifications of monetary policy on diverse consumers.  In particular, models of representative consumers miss (i) the well-known distributional effect that borrowers and lenders are affected differently when the price level differs from their expectations, and (ii) the Pareto implications about how different individuals should share in changes in RGDP.

The Two Direct Determinants of the Price Level

Remember the equation of exchange (also called the “quantity equation), which says that MV=N=PY where M is the money supply, V is income velocity, N is nominal aggregate spending as measured by nominal GDP, P is the price level, and Y is aggregate supply as measured by real GDP.  Focusing on the N=PY part of this equation and solving for P, we get:

(1) P=N/Y

This shows there are two and only two direct determinants of the price level:

(i)             nominal aggregate spending as measured by nominal GDP, and

(ii)           aggregate supply as measured by real GDP.

This also means that these are the two and only two direct determinants of inflation.

The Two Fundamental Welfare Principles of Monetary Economics

When computing partial derivatives in calculus, we treat one variable as constant while we vary the other variable.  Doing just that with respect to the direct determinants of the price level leads us to The Two Fundamental Welfare Principles of Monetary Economics:

Principle #1:    When all individuals are risk averse and RGDP remains the same, Pareto efficiency requires that each individual’s consumption be unaffected by the level of NGDP.

Principle #2:    For an individual with average relative risk aversion, Pareto efficiency requires that individual’s consumption be proportional to RGDP.[1]

Dale Domian and I (2005) proved these two principles for a simple, pure-exchange economy without storage, although we believe the essence of these Principles go well beyond pure-exchange economies and apply to our actual economies.

My intention in this blog is not to present rigorous mathematical proofs for these principles.  These proofs are in Eagle and Domian (2005).  Instead, this blog presents these principles, discusses the intuition behind the principles, and gives examples applying the principles.

Applying the First Principle to Nominal Loans:

I begin by applying the First Principle to borrowers and lenders; this application will give the sense of the logic behind the First Principle.  Assume the typical nominal loan arrangement where the borrower has previously agreed to pay a nominal loan payment to the lender at some future date.  If NGDP at this future date exceeds its expected value whereas RGDP is as expected, then the price level must exceed its expected level because P=N/Y.  Since the price level exceeds its expected level, the real value of the loan payment will be lower than expected, which will make the borrower better off and the lender worse off.  On the other hand, if NGDP at this future date is less than its expected value when RGDP remains as expected, then the price level will be less than expected, and the real value of the loan payment will be higher than expected, making the borrower worse off and the lender better off.  A priori both the borrower and the lender would be better off without this price-level risk.  Hence, a Pareto improvement can be made by eliminating this price-level risk.

One way to eliminate this price-level risk is for the central bank to target the price level, which if successful will eliminate the price-level risk; however, doing so will interfere will the Second Principle as we will explain later.  A second way to eliminate this price-level risk when RGDP stays the same (which is when the First Principle applies), is for the central bank to target NGDP; as long as both NGDP and RGDP are as expected, the price level will also be as expected, i.e., no price-level risk..

Inflation indexing is still another way to eliminate this price-level risk.  However, conventional inflation indexing will also interfere with the Second Principle as we will soon learn.

That borrowers gain (lose) and lenders lose (gain) when the price level exceeds (fall short of) its expectations is well known.  However, economists usually refer to this as “inflation risk.” Technically, it is not inflation risk; it is price-level risk, which is especially relevant when we are comparing inflation targeting (IT) with price-level targeting (PLT).

An additional clarification that the First Principle makes clear concerning this price-level risk faced by borrowers and lenders is that risk only applies as long as RGDP stays the same.  When RGDP changes, the Second Principle applies.

Applying the Second Principle to Nominal Loans under IT, PLT, and NT:

The Second Principle is really what differentiates Dale Domian’s and my position and the positions of Bailey, Selgin, and Koenig from the conventional macroeconomic and monetary views.  Nevertheless, the second principle is really fairly easy to understand.  Aggregate consumption equals RGDP in a pure exchange economy without storage, capital, or government.  Hence, when RGDP falls by 1%, aggregate consumption must also fall by 1%.  If the total population has not changed, then average consumption must fall by 1% as well.  If there is a consumer A whose consumption falls by less than 1%, there must be another consumer B whose consumption falls by more than 1%.  While that could be Pareto justified if A has more relative risk aversion than does B, when both A and B have the same level of relative risk aversion, their Pareto-efficient consumption must fall by the same percent.  In particular, when RGDP falls by 1%, then the consumption level of anyone with average relative risk aversion should fall by 1%.  (See Eagle and Domian, 2005, and Eagle and Christensen, 2012, for the basis of these last two statements.)

My presentation of the Second Principle is such that it focuses on the average consumer, a consumer with average relative risk aversion.  My belief is that monetary policy should do what is optimal for consumers with average relative risk aversions rather than for the central bank to second guess how the relative-risk-aversion coefficients of different groups (such as borrowers and lenders) compare to the average relative risk aversion.

Let us now apply the Second Principle to borrowers and lenders where we assume that both the borrowers and the lenders have average relative risk aversion.  (By the way “relative risk aversion” is a technical economic term invented Kenneth Arrow, 1957, and John Pratt, 1964.)  Let us also assume that the real net incomes of both the borrower and the lender other than the loan payment are proportional to RGDP.  Please note that this assumption really must hold on average since RGDP is real income.  Hence, average real income = RGDP/m where m is the number of households, which means average real income is proportional to RGDP by definition (the proportion is 1/m).

The Second Principle says that since both the borrower and lender have average relative risk aversion, Pareto efficiency requires that both of their consumption levels must be proportional to RGDP.  When their other real net incomes are proportional to RGDP, their consumption levels can be proportional to RGDP only if the real value of their nominal loan payment is also proportional to RGDP.

However, assume the central bank successfully targets either inflation or the price level so that the price level at the time of this loan payment is as expected no matter what happens to RGDP.  Then the real value of this loan payment will be constant no matter what happens to RGDP.  That would mean the lenders will be guaranteed this real value of the loan payment no matter what happens to RGDP, and the borrowers will have to pay that constant real value even though their other net real incomes have declined when RGDP declined.  Under successful IT or PLT, borrowers absorb the RGDP risk so that the lenders don’t have to absorb any RGDP risk.  This unbalanced exposure to RGDP risk is Pareto inefficient when both borrowers and lenders have average relative risk aversion as the Second Principle states.

Since IT and PLT violate the Second Principle, we need to search for an alternative targeting regime that will automatically and proportionately adjust the real value of a nominal loan payment when RGDP changes?  Remember that the real value of the nominal loan payment is xt=Xt/P.  Replace P with N/Y to get xt=(Xt/Nt)Yt, which means the proportion of xt to Yt equals Xt/Nt.  When Xt is a fixed nominal payment, the only one way for the proportion Xt/Nt to equal a constant is for Nt to be a known in advance.  That will only happen under successful NGDP targeting.

What this has shown is that the proportionality of the real value of the loan payment, which is needed for the Pareto-efficient sharing of RGDP risk for people with average relative risk aversion, happens naturally with nominal fixed-payment loans under successful NGDP targeting.  When RGDP decreases (increases) while NGDP remains as expected by successful NGDP targeting, the price level increases (decreases), which decreases (increases) the real value of the nominal payment by the same percentage by which RGDP decreases (increases).

The natural ability of nominal contracts (under successful NGDP targeting) to appropriately distribute the RGDP risk for people with average relative risk aversion pertains not just to nominal loan contracts, but to any prearranged nominal contract including nominal wage contracts.  However, inflation targeting and price-level targeting will circumvent the nominal contract’s ability to appropriate distribute this RGDP risk by making the real value constant rather than varying proportionately with RGDP.

Inflation Indexing and the Two Principles:

Earlier in this blog I discussed how conventional inflation indexing could eliminate that price-level risk when RGDP remains as expected, but NGDP drifts away from its expected value.  While that is true, conventional inflation indexing leads to violations in the Second Principle.  Consider an inflation indexed loan when the principal and hence the payment are adjusted for changes in the price level.  Basically, the payment of an inflation-indexed loan would have a constant real value no matter what, no matter what the value of NGDP and no matter what the value of RGDP.  While the “no matter what the value of NGDP” is good for the First Principle, the “no matter what the value of RGDP” is in violation of the Second Principle.

What is needed is a type of inflation indexing that complies with both Principles.  That is what Dale Domian’s and my “quasi-real indexing” does.  It adjusts for the aggregate-demand-caused inflation, but not to the aggregate-supply-caused inflation that is necessary for the Pareto-efficient distribution of RGDP among people with average relative risk aversion.

Previous Literature:

Up until now, I have just mentioned Bailey (1837) and Selgin (2002) without quoting them.  Now I will quote them.  Selgin (2002, p. 42) states, ““ …the absence of unexpected price-level changes” is “a requirement … for avoiding ‘windfall’ transfers of wealth from creditors to debtors or vice-versa.”  This “argument … is perfectly valid so long as aggregate productivity is unchanging. But if productivity is subject to random changes, the argument no longer applies.”  When RGDP increases causing the price level to fall, “Creditors will automatically enjoy a share of the improvements, while debtors will have no reason to complain: although the real value of the debtors’ obligations does rise, so does their real income.”

Also, Selgin (2002, p. 41) reports that “Samuel Bailey (1837, pp. 115-18) made much the same point.  Suppose … A lends £100 to B for one year, and that prices in the meantime unexpectedly fall 50 per cent. If the fall in prices is due to a decline in spending, A obtains a real advantage, while B suffers an equivalent loss. But if the fall in prices is due to a general improvement in productivity, … the enhanced real value of B’s repayment corresponds with the enhanced ease with which B and other members of the community are able to produce a given amount of real wealth. …Likewise, if the price level were … to rise unexpectedly because of a halving of productivity, ‘both A and B would lose nearly half the efficiency of their incomes’, but ‘this loss would arise from the diminution of productive power, and not from the transfer of any advantage from one to the other’.”

The wage indexation literature as founded by Grey and Fischer recognized the difference between unexpected inflation caused by aggregate-demand shocks and aggregate-supply shocks; the main conclusion of this literature is that when aggregate-supply shocks exist, partial rather than full inflation indexing should take place.  Fischer (1984) concluded that the ideal form of inflation indexing would be a scheme that would filter out the aggregate-demand-caused inflation but leave the aggregate-supply-caused inflation intact.  However, he stated that no such inflation indexing scheme had yet been derived, and it would probably be too complicated to be of any practical use.  Dale Domian and I published our quasi-real indexing (QRI) in 1995 and QRI is not that much more complicated than conventional inflation indexing.  Despite the wage indexation literature leading to these conclusions, the distinction between aggregate-demand-caused inflation and aggregate-supply-caused inflation has not been integrated into mainstream macroeconomic theory.  I hope this blog will help change that.

Conclusions:

As the wage indexation literature has realized, there are two types of inflation:  (i) aggregate-demand-caused inflation and (ii) aggregate-supply-caused inflation.  The aggregate-demand-caused inflation is bad inflation because it unnecessary imposes price-level risk on the parties of a prearranged nominal contract.  However, aggregate-supply-caused inflation is good in that that inflation is necessary for nominal contracts to naturally spread the RGDP risk between the parties of the contract.  Nominal GDP targeting tries to keep the bad aggregate-demand-caused unexpected inflation or deflation to a minimum, while letting the good aggregate-supply-caused inflation or deflation take place so that both parties in the nominal contract proportionately share in RGDP risk.  Inflation targeting (IT), price-level targeting (PLT), and conventional inflation indexing interfere with the natural ability of nominal contracts to Pareto efficiently distribute RGDP risk.  Quasi-real indexing, on the other hand, gets rid of the bad inflation while keeping the good inflation.

Note that successful price-level targeting and conventional inflation indexing basically have the same effect on the real value of loan payments.   As such, we can look at conventional inflation indexing as insurance against the central bank not meeting its price-level target.

Note that successfully NGDP targeting and quasi-real indexing have the same effect on the real value of loan payments.  As such quasi-real indexing should be looked at as being insurance against the central bank not meeting its NGDP target.

A couple of exercises some readers could do to get more familiar with the Two Fundamental Welfare Principles of Welfare Economics is to apply them to the mortgage borrowers in the U.S. and to the Greek government since the negative NGDP base drift that occurred in the U.S. and the Euro zone after 2007.  In a future blog I very likely present my own view on how these Principles apply in these cases.

References:

Arrow, K.J. (1965) “The theory of risk aversion” in Aspects of the Theory of Risk Bearing, by Yrjo Jahnssonin Saatio, Helsinki.

Bailey, Samuel (1837) “Money and Its Vicissitudes in Value” (London: Effingham Wilson).

Debreu, Gerard, (1959) “Theory of Value” (New York:  John Wiley & Sons, Inc.), Chapter 7.

Eagle, David & Dale Domian, (2005). “Quasi-Real Indexing– The Pareto-Efficient Solution to Inflation Indexing” Finance 0509017, EconWPA, http://ideas.repec.org/p/wpa/wuwpfi/0509017.html.

Eagle, David & Lars Christensen (2012). “Two Equations on the Pareto-Efficient Sharing of Real GDP Risk,” future URL: http://www.cbpa.ewu.edu/papers/Eq2RGDPrisk.pdf.

Sargent, Thomas and Neil Wallace (1975). “’Rational’ Expectations, the Optimal Monetary Instrument, and the Optimal Money Supply Rule”. Journal of Political Economy 83 (2): 241–254.

Selgin, George (2002), Less than Zero: The Case for a Falling Price Level in a Growing Economy. (London: Institute of Economic Affairs).

Koenig, Evan (2011). “Monetary Policy, Financial Stability, and the Distribution of Risk,” Federal Reserve Bank of Dallas Research Department Working Paper 1111.

Pratt, J. W., “Risk aversion in the small and in the large,” Econometrica 32, January–April 1964, 122–136.

© Copyright (2012) by David Eagle

 


[1] Technically, the Second Principle should replace “average relative risk aversion” with “average relative risk tolerance,” which is from a generalization and reinterpretation by Eagle and Christensen (2012) of the formula Koenig (2011) derived.

Don’t forget the ”Market” in Market Monetarism

As traditional monetarists Market Monetarists see money as being at the centre of macroeconomic discussion. To us both inflation and recessions are monetary phenomena. If central banks print too much money we get inflation and if they print to little money we get recession or even depression.

This is often at the centre of the arguments made by Market Monetarists. However, we are exactly Market Monetarists because we have a broader view of monetary policy than traditional monetarists. We deeply believe in markets as the best “information system” – also about the stance of monetary policy. Even though we certainly do not disregard the value of studying monetary supply numbers we believe that the best indicator(s) of monetary policy stance is market pricing in currency markets, commodity markets, fixed income markets and equity markets. Hence, we believe in a Market Approach to monetary policy in the tradition of for example of “Manley” Johnson and Robert Keheler.

In fact we want to take out both the “central” and “banking” out of central banking and ideally replace monetary policy makers with the power of the market. Scott Sumner has suggested that the central banks should use NGDP futures in the conduct of monetary policy. In Scott’s set-up monetary policy ideally becomes “endogenous”. I on my part have suggested the use of prediction markets in the conduct of monetary policy.

Sometimes the Market Monetarist position is misunderstood to be a monetary version of (vulgar) discretionary Keynesianism. However, Market Monetarists are advocating the exact opposite thing. We strongly believe that monetary policy should be based on rules rather than discretion. Ideally we would prefer that the money supply was completely market based so that velocity would move inversely to the money supply to ensure a stable NGDP level. See my earlier post “NGDP targeting is not a Keynesian business cycle policy”

Even though Market Monetarists do not necessarily advocate Free Banking there is no doubt that Market Monetarist theory is closely related to the thinking of Free Banking theorist such as George Selgin and I have early argued that NGDP level targeting could be see as “privatisation strategy”. A less ambitious interpretation of Market Monetarism is certainly also possible, but no matter what Market Monetarists stress the importance of markets – both in analysing monetary policy and in the conduct monetary policy.

—-

See also my earlier post from today on a related topic.

Forget about the “Credit Channel”

One thing that has always frustrated me about the Austrian business cycle theory (ABCT) is that it is assumes that “new money” is injected into the economy via the banking sector and many of the results in the model is dependent this assumption. Something Ludwig von Mises by the way acknowledges openly in for example “Human Action”.

If instead it had been assumed that money is injected into economy via a “helicopter drop” directly to households and companies then the lag structure in the ABCT model completely changes (I know because I many years ago wrote my master thesis on ABCT).

In this sense the Austrians are “Creditist” exactly like Ben Bernanke.

But hold on – so are the Keynesian proponents of the liquidity trap hypothesis. Those who argue that we are in a liquidity trap argues that an increase in the money base will not increase the money supply because there is a banking crisis so banks will to hold on the extra liquidity they get from the central bank and not lend it out. I know that this is not the exactly the “correct” theoretical interpretation of the liquidity trap, but nonetheless the “popular” description of the why there is a liquidity trap (there of course is no liquidity trap).

The assumption that “new money” is injected into the economy via the banking sector (through a “Credit Channel”) hence is critical for the results in all these models and this is highly problematic for the policy recommendations from these models.

The “New Keynesian” (the vulgar sort – not people like Lars E. O. Svensson) argues that monetary policy don’t work so we need to loosen fiscal policy, while the Creditist like Bernanke says that we need to “fix” the problems in the banking sector to make monetary policy work and hence become preoccupied with banking sector rescue rather than with the expansion of the broader money supply. (“fix” in Bernanke’s thinking is something like TARP etc.). The Austrians are just preoccupied with the risk of boom-bust (could we only get that…).

What I and other Market Monetarist are arguing is that there is no liquidity trap and money can be injected into the economy in many ways. Lars E. O. Svensson of course suggested a foolproof way out of the liquidity trap and is for the central bank to engage in currency market intervention. The central bank can always increase the money supply by printing its own currency and using it to buy foreign currency.

At the core of many of today’s misunderstandings of monetary policy is that people mix up “credit” and “money” and they think that the interest rate is the price of money. Market Monetarists of course full well know that that is not the case. (See my Working Paper on the Market Monetarism for a discussion of the difference between “credit” and “money”)

As long as policy makers continue to think that the only way that money can enter into the economy is via the “credit channel” and by manipulating the price of credit (not the price of money) we will be trapped – not in a liquidity trap, but in a mental trap that hinders the right policy response to the crisis. It might therefore be beneficial that Market Monetarists other than just arguing for NGDP level targeting also explain how this practically be done in terms of policy instruments. I have for example argued that small open economies (and large open economies for that matter) could introduce “exchange rate based NGDP targeting” (a variation of Irving Fisher’s Compensated dollar plan).

Guest blog: Growth or level targeting? (by David Eagle)

We continue the series of guest blogs by David Eagle on his research on NGDP targeting and related topics.

See also David’s first guest post “Why I Support NGDP Targeting”.

Enjoy the reading.

Lars Christensen

—————————-

Guest blog: Growth vs. level targeting

by David Eagle

In my first guest blog for “The Market Monetarist” I stated that I am in favor of targeting the level of Nominal GDP (NGDP) and not the growth rate of NGDP.  Some economists such as Bennett McCallum (2011) are in favor of NGDP-growth-rate targeting (ΔNT) over NGDP Targeting (NT).

I have long opposed inflation targeting (IT) and I view ΔNT as almost as bad as IT because both cause what we call negative NGDP base drift. In order to understand my arguments against ΔNT and against IT, we need to understand the concepts of NGAP and NGDP base drift.

In this blog, I use an example to illustrate these concepts and the difference between NT and ΔNT.  It also uses another example to help us understand the concepts of PGAP and price-level base drift, and the difference between price-level targeting (PLT) and IT.

Growth vs. Level NGDP Targeting

To see the similarities and differences between targeting the growth rate of NGDP (ΔNT) and the level of NGDP (NT), assume the central bank’s target for NGDP growth  would be 5%.  As long as the central bank (CB) meets that target, NGDP would follow the path Nt = N0 (1.05)t where N0 is the NGDP for the base year and Nt is the NGDP occurring t years after the base year.

For consistency, assume that the CB’s target for NGDP (if it targets the NGDP level) would be Nt* = N0 (1.05)t.  Hence, as long as the central bank meets its target, then NGDP will be the same whether the central bank targets the growth rate or the level of NGDP.

The difference between growth rate targeting and level target occurs when the central bank misses its target.  Assume for example N0 = 10.  Initially, both NT and ΔNT have the same intended NGDP trajectory of Nt = 10(1.05)t; in particular, both NT and ΔNT aim for N1 to be 10.5.  However, assume the central bank misses its target and N1 = 10.08, which is 4% below its targeted level of NGDP.  We define NGAPt as the percent deviation at time t of NGDP from its previous trend; hence in this example NGAP1 = -4%.  Under NT, the central bank will try to make up for lost ground to reduce NGAP to zero and return NGDP back to its targeted path of Nt = 10(1.05)t.

In contrast, under NGDP growth targeting, the central bank will only try to meet its targeted NGDP growth rate of 5% in the future. Hence, under NGDP growth targeting, the central bank will shift its NGDP trajectory to Nt = 10.08(1.05)t-1, which is 4% below the initial NGDP trajectory of Nt = 10(1.05)t. In other words, under NGDP growth targeting, the central bank would let the 4% NGAP continue indefinitely. NGDP base drift occurs when the central bank allows NGAP to continue rather than trying to eliminate that NGAP in the future.

Price Level Targeting vs. Inflation Targeting

The concept of NGDP base drift is related to the concept “price-level base drift,” which many economists such as Svensson (1996) and Kahn (2009) have long recognized to be the theoretical difference between price-level targeting (PLT) and inflation targeting (IT).

In particular, Mankiw (2006) states, “The difference between price-level targeting and inflation-targeting is that price-level targeting requires making up for past mistakes,” while Taylor (2006) states, “Focusing on a numerical inflation rate tends to let bygones be bygones when there is a rise [or fall] in the price level” [brackets added].

Also, Meh, et al (2008) state, “Under IT, the central bank does not bring the price level back and therefore the price level will remain at its new path after the shock.” They go on to say that under PLT, “the central bank commits to bringing the price level back to its initial path after the shock.”

To see the similarities and differences between PLT and IT, assume the central bank’s target for inflation (if it follows IT) would be 2%.  Then the CB’s trajectory for the price level will be Pt = P0 (1.02)t where P0 is the price level for the base year and Pt is the price level occurring t years after the base year.  Similarly assume that the central bank’s price-level target (if it follows PLT) would be Pt* = P0 (1.02)t.  Hence, when the central bank meets its target, the price level will be the same regardless if the central bank follows PLT or IT.

The difference between PLT and IT occurs when the central bank misses its target.  For this example, assume P0 = 100.  Initially, both PLT and IT have the same price-level trajectory of Pt = 100(1.02)t.  In particular, under both PLT and IT, the CB is aiming for Pt  to be 102 at time t=1.  However, assume that the central bank misses its target and Pt = 100.47, which is 1.5% less than its targeted price level of 102.  We define PGAPt to be the percent deviation of the price level at time t from its previous trend; hence, in this example; PGAP1 = ‑1.5%.

Under PLT, the central bank will try to return PGAP back to zero by increasing the price-level back up to its targeted price-level path of Pt = 100 (1.02)t.  Under IT, the central bank will “let bygones be bygones” and merely try to meet its inflation target of 2% in the future.  Hence, under IT, the central bank shifts its price-level trajectory to Pt = 100.47 (1.02)t-1, which is 1.5% below its initial trajectory.  In other words, the central bank lets the -1.5% PGAP continue into the foreseeable future.  Price-level base drift occurs when the central bank allows PGAP to continue rather than trying to eliminate that PGAP in the future.

Price-level base drift implies NGDP base drift

Because IT leads to price-level base drift, it also leads to NGDP base drift.  To illustrate with an example, assume the long-run growth rate in real GDP (RGDP) is 3% and RGDP in the base year is Y0 = 10 trillion dollars.  Therefore, when the central bank expects RGDP to grow at its long-run growth rate, it expects Yt = 10(1.03)t.

Initially in this example when the central bank has a 2% inflation target, the central bank’s trajectory for the price level under inflation targeting is Pt = 100 (1.02)t.  Since Nt=PtYt/100 when we use 100 as the price level in the base year, this means that the CB’s trajectory for NGDPt is Nt = 10 (1.02)t(1.03)t.  When it turned out that P1 was 100.47 instead of 102, the central bank following IT would shift its price level trajectory to Pt = 100.47 (1.02)t-1 and its NGDP trajectory to Nt = 10.047 (1.02)t-1(1.03)t, which is 1.5% below its initial NGDP trajectory.  Therefore, NGAP under this trajectory will be -1.5%, which means a negative NGDP base drift.

“Inflation targeting” can be many things

In practice, inflation targeting is not as simple as I described above or even as several of the economists I quoted described it.   In practice, central banks following inflation targeting target a long-run rather than a short-run inflation rate.  They also try to target “core inflation” rather than general inflation.  Also, they do consider output gap and unemployment as well as inflation.  Therefore, the question whether IT in practice leads to NGDP base drift is primarily an empirical one.

According to my empirical research that I plan to report in a later blog, past U.S. monetary policy has on average resulted in a significant negative NGDP base drift.  Also, that research indicates that the primary reason for the prolonged high unemployment following a recession is this negative NGDP base drift.

References:

Kahn, George A. (2009). “Beyond Inflation Targeting: Should Central Banks Target the Price Level?” Federal Reserve Bank Of Kansas City Economic Review (Third quarter), http://www.kansascityfed.org/PUBLICAT/ECONREV/pdf/09q3kahn.pdf

Mankiw, Greg (2006). “Taylor on Inflation Targeting,” Greg Mankiw’s Blog (July 13) http://gregmankiw.blogspot.com/2006/07/taylor-on-inflation-targeting.html

McCallum, Bennett, “Nominal GDP Targeting” Shadow Open Market Committee, October 21, 2011, http://shadowfed.org/wp-content/uploads/2011/10/McCallum-SOMCOct2011.pdf

Meh, C. A., J.-V. Ríos-Rull, and Y. Terajima (2008). “Aggregate and Welfare Effects of Redistribution of Wealth under Inflation and Price-Level Targeting.” Bank of Canada Working Paper No. 2008-31, http://www.econ.umn.edu/~vr0j/papers/cvyjmoef.pdf

Svensson, Lars E. O. (1996). “Price Level Targeting vs. Inflation Targeting: A Free Lunch?” NBER Working Paper 5719, http://www.nber.org/papers/w5719.pdf, accessed on January 4, 2012.

Taylor, John (2006). “Don’t Talk the Talk: Focusing on a numerical inflation rate tends to let bygones be bygones when there is a rise in the price level.” The Economist (July 13), http://online.wsj.com/article/SB115275691231905351.html?mod=opinion_main_commentaries

© Copyright (2012) David Eagle


Guest post: Why I Support NGDP Targeting (by David Eagle)

Welcome to David Eagle

I am extremely happy that professor David Eagle have accepted to write a series of guest blogs on my blog. I only recently became aware of David’s impressive research, but consider it to be truly original and in my view his research presents an extremely strong theoretical and empirical case for Nominal GDP level targeting, which of course is at the core of Market Monetarist thinking.

I have already written a number of posts on David’s research and even tried to elaborate on his research specifically in terms of suggesting a method – based on David’s research – to decompose inflation between demand inflation and supply inflation based on what I strongly inspired by David has termed a Quasi-Real Price Index (QRPI) and it is my hope that my invitation to David to write the guest blogs will help give exposure to his very interesting research. Furthermore, I hope that other researchers will be inspired by David’s truly path-breaking research to conduct research into the advantages of NGDP level targeting and related topics.

So once again, thank you David. It is an honour to host your guest blogs.

Lars Christensen  

 

Why I Support NGDP Targeting

By David Eagle

Nominal GDP (NGDP) represents the total spending in the economy, which in essence is the total aggregate demand in the economy.  The term “nominal” means that we ignore the effect of inflation on the value of the spending.  If we adjust for the effect of inflation, we then get a “real” value.  In particular, real GDP (RGDP) represents the total spending adjusted for the effect of inflation on the purchasing power of that spending.  RGDP also represents the conventional measure of total real supply in the economy because usually demand equals supply in a free economy.  I believe that, for most contingencies in the economy, both monetary policy and fiscal policy (as far as its aggregate-spending effects) should focus on targeting the total spending in the economy as measured by NGDP.  That way we will (i) reduce the prolonged high unemployment that has usually followed past recessions, (ii) minimize the demand-caused inflation uncertainties people experience while maintaining the role inflation or deflation plays in the sharing of aggregate-supply risk, (iii) reduce the likelihood of the economy experiencing a liquidity trap, and (iv) eliminate the “stimulate-the-economy” excuse for perpetual fiscal deficits when NGDP is at or above its target.

While I support nominal-GDP targeting (NT), I do not support nominal-GDP-growth-rate targeting (ΔNT).  I have long been an opponent of inflation targeting (IT), and I view ΔNT to be almost as bad as IT.  Both ΔNT and IT expose the economy to negative NGDP base drift, which is the source of several economic problems: (i) prolonged unemployment following recessions, (ii) greater uncertainty for borrowers, lenders, and other payers and receivers of fixed nominal future payments, and (iii) price-level indeterminacy, which can manifest itself in a liquidity trap like what many central banks throughout the world are currently facing.

I also am an opponent of price-level targeting (PLT) even though the NGDP base drift under PLT will be substantially less than under IT.  The reason is because Pareto efficiency requires people with average relative risk aversion to proportionately share in the risks of changes in real aggregate output.  Nominal contracts under NT naturally lead to this proportionate sharing.  However, PLT circumvents that proportionate sharing so that borrowers and other payers of fixed nominal payments absorb all the aggregate-supply risk of those payments in order to protect lenders and other receivers of fixed nominal payments from this risk.

I find that NT Pareto dominates PLT, IT, and ΔNT.  The only reason why NT is not Pareto efficient is a central bank cannot always meet its NGDP target.  I also find through empirical simulations that NT can eliminate the vast majority of the higher-than-normal, long-term unemployment that has usually plagued our economies following recessions.  Hence, I look at NT as the most desirable targeting regime from both a theoretical, Pareto-efficiency standpoint and from an empirical standpoint.

In the upcoming weeks, I plan to write several more guest blogs for “The Market Monetarist” to explain the theoretical and empirical justification for the points I have made in this introduction.  In some cases I will explain the full basis for that justification; in other cases, I will refer to other papers I or others have written.  My proposed blogs (which may change as I write this blogs) are as follows:

  1. Understanding NGAP, NGDP Base Drift, and Growth Vs. Level Targeting
  2. The Two Fundamental Welfare Principles of Monetary Economics
  3. Why Price-Level Targeting Pareto Dominates Inflation Targeting
  4. NGDP Base Drift – Why Recessions are followed by Prolonged High Unemployment
  5. NGDP Base Drift, Price Indeterminacy, and the Liquidity Trap
  6. Three Reasons to Target the Level of rather than the Growth Rate of Nominal GDP

My second blog will use examples to explain the concepts of NGAP, NGDP base drift, and the difference between targeting the level of NGDP and Targeting the growth rate of Nominal GDP.  This blog will also summarize the difference between price-level targeting and inflation targeting, and discuss the concepts of PGAP and price-level base drift.

© Copyright (2012) David Eagle

 

US Monetary History – The QRPI perspective: The Volcker disinflation

I am continuing my mini-series on modern US monetary history through the lens of my decomposition of supply inflation and demand inflation based on what I inspired by David Eagle have termed a Quasi-Real Price Index (QRPI). In this post I will have a look at the early 1980s and what have been termed the Volcker disinflation.

When Paul Volcker became Federal Reserve chairman in August 1979 US inflation was on the way to 10% and the fight against inflation had more or less been given up and there was certainly no consensus even among economists that inflation was a monetary phenomenon. Volcker set out to defeat inflation. Volcker is widely credited with achieving this goal and even though one can question US monetary policy in a number of ways in the period that Volcker was Fed chairman there is no doubt in mind my that Volcker succeed and by doing so laid the foundation for the great stability of the Great Moderation that followed from the mid-80s and lasted until 2008.

Below you see my decomposition of US inflation in the 1980s between demand inflation (which the central bank controls) and supply inflation.

As the graph shows – and as I spelled out in my earlier post on the 1970s inflationary outburst – the main cause of the rise in US inflation in 1970s was excessive loose monetary policy. This was particularly the case in late 1970s and when Volcker became Fed chairman demand inflation was well above 10%.

Volcker early on set out to reduce inflation by implementing (quasi) money supply targeting. It is obviously that the Volcker’s Fed had some operational problems with this strategy and it effectively (unfairly?) undermined the idea of a monetary policy based on Friedman style money supply targeting, but it nonetheless clearly was what brought inflation down.

The first year of Volcker’s tenure undoubtedly was extremely challenging and Volcker hardly can say to have been lucky with the timing. More or less as he became Fed chairman the second oil crisis hit and oil prices spiked dramatically in the wake of the Iranian revolution in 1979. The spike in oil prices boosted supply inflation dramatically and that pushed headline inflation well above 10% – hardly a good start point for Volcker.

Quasi-Real Price Index and the decomposition of the inflation data seem very clearly to illustrate all the key factors in the Volcker disinflation:

1)   Initially Volker dictated disinflation by introducing money supply targeting. The impact on demand inflation seems to have been nearly immediate. As the graph shows demand inflation dropped sharply in1980 and the only reason headline inflation did not decrease was the sharp rise in oil prices that pushed up supply inflation.

2)   The significant monetary tightening sent the US economy into recession in 1980 and this lead Volcker & Co. to abandon the policy of monetary tightening and “re-eased” monetary policy in the summer of 1980. Again the impact seems to have been immediate – demand inflation picked up sharply going into 1981.

3)   Over the summer the Fed moved to hike interest rates dramatically and slow money supply growth sharply. That caused demand inflation to ease off significantly and inflation had finally been beaten.

4)   The Fed allowed demand inflation to pick up once again in 1984-85, but at that time Volcker was more lucky as supply factors helped curb headline inflation.

The zigzagging in monetary policy in the early 1980s is clearly captured by my decomposition of inflation. To me shows how relatively useful these measures are and I think they could be help tools for both analysts and central bankers.

This post in no way is a full account of the Volcker disinflation. Rather it is meant as an illustration of the Quasi-Real Price Index and my suggested decomposition of inflation.

My two main sources on modern US monetary history is Robert Hetzel’s “The Monetary Policy and the Federal Reserve – A History” and Allan Meltzer’s “A History of the Federal Reserve”. However, for a critical account of the first years of the Volcker disinflation I can clearly recommend our friend David Glasner’s “Free Banking and Monetary Reform”. I am significantly less critical about money supply targeting than David, but I think his account of the Volcker disinflation clear give some insight to the problems of money supply targeting.

The Integral Reviews: Paper 1 – Koenig (2011)

I am always open to accept different guest blogs and I therefore very happy that “Integral” has accepted my invitation to do a number of reviews of different papers that are relevant for the discussion of monetary theory and the development of Market Monetarism.

“Integral” is a regular commentator on the Market Monetarist blogs. Integral is a pseudonym and I am familiar with his identity.

We start our series with Integral’s review of Evan Koeing’s paper “Monetary Policy, Financial Stability, and the Distribution of Risk”. I recently also wrote a short (too short) comment on the paper so I am happy to see Integral elaborating on the paper, which I believe is a very important contribution to the discussion about NGDP level targeting. Marcus Nunes has also earlier commented on the paper.

Lars Christensen

The Integral Reviews: Papers 1 – Koenig (2011)
By “Integral”

Reviewed: Evan F. Koenig, “Monetary Policy, Financial Stability, and the Distribution of Risk.” FRB Dallas Working Paper No.1111

Consider the typical debt-deflation storyline. An adverse shock pushes the price level down (relative to expected trend) and increases consumers’ real debt load. This leads to defaults, liquidation, and general disruption of credit markets. This is often-times used as justification for the central bank to target inflation or the price level, to mitigate the effect of such shocks on financial markets.

Koenig takes a twist on this view that is quite at home to Market Monetarists: he notes that since nominal debts are paid out of nominal income, any adverse shock to income will lead to financial disruption, not just shocks to the price level. One conclusion he draws out is that the central bank can target nominal income to insulate the economy against debt-deflation spirals.

He also makes a theoretical point that will resonate well with Lars’ discussion of David Eagle’s work. Recall that Eagle views NGDP targeting as the optimal way to prevent the “monetary veil” from damaging the underlying “real” economy, which he views as an Arrow-Debreu type general equilibrium economy. Koenig makes a similar observation with respect to financial risk (debt-deflation) and in particular the distribution of risk.

In a world with complete, perfect capital markets, agents will sign Arrow-Debreu state-contingent contracts to fully insure themselves against future risk (think shocks). Money is a veil in the sense that fluctuations in the price level, and monetary policy more generally, have no effect on the distribution of risk. However, the real world is much incomplete in this regard and it is difficult to imagine that one could perfectly insure against future income, price, or nominal income uncertainty. Koenig thus dispenses of complete Arrow-Debreau contracts and introduces a single debt instrument, a nominal bond. This is where the central bank comes in.

Koenig considers two policy regimes: one in which the central bank commits to a pre-announced price-level target and one in which the central bank commits to a pre-announced nominal-income target. While the price-level target neutralizes uncertainty about the future price level, it provides no insulation against fluctuations in future output. He shows that a price level target will have adverse distributional consequences: harming debtors but helping creditors. Note that this is exactly the outcome that a price-level target is supposed to avoid. By contrast a central bank policy of targeting NGDP fully insulates the economy from the combination of price and income fluctuations. It will not only have no adverse distributional consequences, it obtain a consumption pattern across debtors and creditors which is identical to that which is obtained when capital markets are complete.

At an empirical level, Koenig documents that loan delinquency is more closely related to surprise changes in NGDP than in P, providing corroborating evidence that it is nominal income, not the price level, which matters for thinking about the sustainability of the nominal debt load.

Koenig’s conclusion is succinct:

“If there are complete markets in contingent claims, so that agents can insure themselves against fluctuations in aggregate output and the price level, then “money is a veil” as far as the allocation of risk is concerned: It doesn’t matter whether the monetary authority allows random variation in the price level or nominal value of output. If such insurance is not available, monetary policy will affect the allocation of risk. When debt obligations are fixed in nominal terms, a price-level target eliminates one source of risk (price-level shocks), but shifts the other risk (real output shocks) disproportionately onto debtors. A more balanced risk allocation is achieved by allowing the price level to move opposite to real output. An example is presented in which the risk allocation achieved by a nominal-income target reproduces exactly the allocation observed with complete capital markets. Empirically, measures of financial stress are much more strongly related to nominal-GDP surprises than to inflation surprises. These theoretical and empirical results call into question the debt-deflation argument for a price-level or inflation target. More generally, they point to the danger of evaluating alternative monetary policy rules using representative-agent models that have no meaningful role for debt.”