Hjalmar Schacht’s echo – it all feels a lot more like 1932 than 1923

The weekend’s Greek elections brought a neo-nazi party (“Golden Dawn”) into the Greek parliament. The outcome of the Greek elections made me think about the German parliament elections in July 1932 which gave a stunning victory to Hitler’s nazi party. The Communist Party and other extreme leftist also did well in the Greek elections as they did in Germany in 1932. I am tempted to say that fascism is always and everywhere a monetary phenomenon. At least that was the case in Germany in 1932 as it is today in Greece. And as in 1932 central bankers does not seem to realise the connection between monetary strangulation and the rise of extremist political forces.

The rise of Hitler in 1932 was to a large extent a result of the deflationary policies of the German Reichbank under the leadership of the notorious Hjalmar Schacht who later served in Hitler’s government as Economics Ministers.

Schacht was both a hero and a villain. He successfully ended the 1923 German hyperinflation, but he also was a staunch supporter of the gold standard which lead to massive German deflation that laid the foundation for Hitler’s rise to power. After Hitler’s rise to power Schacht helped implement draconian policies, which effectively turned Germany into a planned economy that lead to the suffering of millions of Germans and he was instrumental in bringing in policies to support Hitler’s rearmament policies. However, he also played a (minor) role in the German resistance movement to Hitler.

The good and bad legacy of Hjalmar Schacht is a reminder that central bankers can do good and bad, but also that central bankers very seldom will admit when they make mistakes. This is what Matthew Yglesias in a blog post from last year called the Perverse Reputational Incentives In Central Banking.

Here is Matt:

I was reading recently in Hjalmar Schacht’s biography Confessions of the Old Wizard … and part of what’s so incredible about it are that Schacht’s two great achievements—the Weimar-era whipping of hyperinflation and the Nazi-era whipping of deflation—were both so easy. The both involved, in essence, simply deciding that the central bank actually wanted to solve the problem.

To step back to the hyperinflation. You might ask yourself how things could possibly have gotten that bad. And the answer really just comes down to refusal to admit that a mistake had been made. To halt the inflation, the Reichsbank would have to stop printing money. But once the inflation had gotten too high for Reichsbank President Rudolf Havenstein to stop printing money and stop the inflation would be an implicit admission that the whole thing had been his fault in the first place and he should have done it earlier…

…So things continued for several years until a new government brought Schacht on as a sort of currency czar. Schacht stopped the private issuance of money, launched a new land-backed currency and simply . . . refused to print too much of it. The problem was solved both very quickly and very easily…

…The institutional and psychological problem here turns out to be really severe. If the Federal Reserve Open Market Committee were to take strong action at its next meeting and put the United States on a path to rapid catch-up growth, all that would do is serve to vindicate the position of the Fed’s critics that it’s been screwing up for years now. Rather than looking like geniuses for solving the problem, they would look like idiots for having let it fester so long. By contrast, if you were to appoint an entirely new team then their reputational incentives would point in the direction of fixing the problem as soon as possible.

Matt is of course very right. Central banks and central banks alone determines inflation, deflation, the price level and nominal GDP. Therefore central banks are responsible if we get hyperinflation, debt-deflation or a massive drop in nominal GDP. However, central bankers seem to think that they are only in control of these factors when they are “on track”, but once the nominal variables move “off track” then it is the mistake of speculators, labour unions or irresponsible politicians. Just think of how Fed chief Arthur Burns kept demanding wage and price controls in the early 1970s to curb inflationary pressures he created himself by excessive money issuance.  The credo seems to be that central bankers are never to blame.

Here is today’s German central bank governor Jens Weidmann in comment in today’s edition of the Financial Times:

Contrary to widespread belief, monetary policy is not a panacea and central banks’ firepower is not unlimited, especially not in the monetary union. First, to protect their independence central banks in the eurozone face clear constraints to the risks they are allowed to take.

…Second, unconditional further easing would ignore the lessons learned from the financial crisis.

This crisis is exceptional in scale and scope and extraordinary times do call for extraordinary measures. But we have to make sure that by putting out the fire now, we are not unwittingly preparing the ground for the next one. The medicine of a near-zero interest rate policy combined with large-scale intervention in financial markets does not come without side effects – which are all the more severe, the longer the drug is administered.

I don’t feel like commenting more on Weidmann’s comments (you can pretty well guess what I think…), but I do note that German long-term bond yields today have inch down further and is now at record low levels. Normally long-term bond yields and NGDP growth tend to move more or less in sync – so with German government 10-year bond yields at 1.5% we can safely say that the markets are not exactly afraid of inflation. Or said in another way, if ECB deliver 2% inflation in line with its inflation target over the coming decade then you will be loosing 1/2% every year by holding German government bonds. This is not exactly an indication that we are about to repeat the mistakes of the Reichbank in 1923, but rather an indication that we are in the process of repeating the mistakes of 1932. The Greek election is sad testimony to that.

PS David Glasner comments also comments on Jens Weidmann. He is not holding back…

PPS Scott Sumner today compares the newly elected French president Francois Hollande with Léon Blum. I have been having been thinking the same thing. Léon Blum served as French Prime Minister from June 1936 to June 1937. Blum of course gave up the gold standard in 1936 and allowed a 25% devaluation of the French franc. While most of Blum’s economic policies were grossly misguided the devaluation of the franc nonetheless did the job – the French economy started a gradual recovery. Unfortunately at that time the gold standard had already destroyed Europe’s economy and the next thing that followed was World War II. I wonder if central bankers ever study history…They might want to start with Adam Tooze’s Wages of Destruction.

Update: See Matt O’Brien’s story on “Europe’s FDR? How France’s New President Could Save Europe”. Matt is making the same point as me – just a lot more forcefully.

Guest post: Nick Rowe, Barter, and Free Banking (By Lee Kelly)

I have for some time wanted the young and talented Lee Kelly to write a guest post for The Market Monetarist. I am happy that he now has done so. Anybody who follows the market monetarist blogs will be familiar with Lee’s name and his always insightful comments.

So thank you Lee and I hope you in the future will write many more posts for my blog.

Lars Christensen

—————-

Guest post: Nick Rowe, Barter, and Free Banking

By Lee Kelly

Nick Rowe recently wrote about the increasing use of barter and makeshift monies during recessions. The market monetarist explanation for the last recession describes how attempts to engage in mutually beneficial exchange are frustrated by a shortage of money; this suggests that people would seek alternatives–such as barter and makeshift monies – to realise desired transactions. While such incentives would be expected to increase with the severity of the shortage, there are unfortunately too many other factors at play to draw precise quantitative predictions. That said, if there were no increase in barter or even a decrease, then I would tentatively consider the market monetarist explanation falsified, and it would require one heck of a good counterargument for me to reverse that judgement.

Alex Tabarrok has presented some evidence comparing the Great Depression and the recent recession. Evidence that barter and makeshift monies increased during the Great Depression is very strong–market monetarism passes the test. However, evidence regarding the last recession is less conclusive; there are suggestions of an increase in barter and makeshift monetary arrangements but nothing substantial.

Although I wouldn’t have expected anything comparable to the Great Depression, like Tabarrok, I’m surprised at just how weak of an effect appears to have been. My own observations are of a slight increase in barter, and the relative success of Bitcoin during the recession is suggestive, but there is little more than anecdotal evidence to go on for now. The evidence–or lack thereof–presented by Tabarrok should pose an interesting challenge to market monetarists.

In any case, my purpose here is actually to explain a little about the underlying theory of this explanation and how it dovetails with an arguments for free banking. An increasing use of barter and makeshift monies in during a shortage of money takes on a whole different meaning when viewed from the perspective of free market in money and banking. But first, let me try and keep everyone on the same page by clarifying just what is meant by a ‘shortage of money’ or an ‘excess demand for money’?

What is an Shortage or Excess Demand for Money?

The term ‘shortage’ has a precise meaning in economics. A shortage occurs when the market price of some good is below its equilibrium price. In such cases, there are more people willing to buy at the prevailing price than are willing to sell, leaving an excess demand. Holding supply and demand constant, the market normally clears such disequilibria by increasing prices until shortages are eliminated. However, a shortage may persist indefinitely when there is a price ceiling, i.e. an upper limit to some price usually mandated by a government. If the equilibrium price of some good is greater than its price ceiling, then rising prices are unable to entirely eliminate shortages.

Normally, when demand is frustrated by a price ceiling, the excess goes somewhere else. For example, a binding price ceiling on apples would frustrate demand, leaving some people who want to buy apples unable to find willing sellers at the prevailing price. What do people who want apples do instead? Maybe they buy pears, oranges, bananas, or whatever–probably something that serves a similar purpose. In any case, the excess demand for apples spills over into higher demand for other kinds of fruit.

Money is special. All else being equal, an increase in the demand for money is automatically a shortage of money. An excess demand for money cannot be cleared by increasing its price, because money doesn’t have a price of its own. To reach equilibrium, every other price must haphazardly grope its way there by a roundabout path of deflation. A shortage of money is unlike a shortage of anything else, because money is the medium of exchange. An excess demand for apples will probably just result in more spending on other fruit, but an excess demand for money results in less spending altogether. With an insufficient quantity of the medium of exchange to facilitate desired transactions, potential output is sacrificed–this manifests as the temporary lull in economic activity called a recession.

Barter and Makeshift Monies From a Free Banking Perspective

The relation between a shortage of money and barter is similar to the relation between a shortage of cars and cycling. Suppose the government imposes a binding price ceiling on cars and supply is elastic. While there will always be some driving and some cycling, the shortage of cars results in people cycling more than if the supply of and demand for cars were in equilibrium. However, cycling cannot substitute for all journeys that would otherwise be taken by car, and so those journeys simply never happen. Likewise, only a fraction of transactions frustrated by a shortage of money can be completed using substitutes like barter or makeshift monies.

What does this have to do with free banking? In a world where central banks operate an effective monopoly over money, there is only one monetary policy. If the central bank pursues bad monetary policy, then the economy is constantly rocked by surpluses or shortages of money. But what if people had a better alternative than barter or makeshift monies? What if there were multiple competing issuers of money? What if our eggs weren’t all in one basket?

Free banking theory envisions a world where each money issuer has their own “monetary policy”, and a shortage or surplus created by one issuer is a profit opportunity for all others. When attempts to engage in mutually beneficial exchange are frustrated by a shortage of money, then people will seek alternatives. In an ideal free banking scenario, those alternatives are readily available monies created by institutions poised to soak up any excess demand for money. A free banking system is, in this way, robust against errors of monetary policy that can devastate an economy dependent on a central bank.

No system is perfect, and I’m aware of the futility of advocating free banking. However, I’m very much in favour of theorising about free banking. It is often only when ideas are contrasted with alternatives that we tease out hidden assumptions. Insights that seem deep and elusive from one perspective can become trivial and obvious from another.

Normally, economists understand market failure and government intervention in the light of ideal markets, but all such norms are reversed when it comes to money and banking. Many insights that are hard to come with conventional thinking, such as nominal GDP targeting, are relatively straightforward when understood in the light of free banking. The idea that people will seek alternatives to a given money when it’s suffering from a shortage of surplus is not just implicit in free banking, but is at the the core of what it means for there to be monetary competition in the first place.

© Copyright (2012) Lee Kelly

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.

Japan shows that QE works

I am getting a bit worried – it has happened again! I agree with Paul Krugman about something or rather this time around it is actually Krugman that agrees with me.

In a couple of posts (see here and here) I have argued that the Japanese deflation story is more complicated than both economists and journalists often assume.

In my latest post (“Did Japan have a productivity norm?”I argued that the deflation over the past decade has been less harmful than the deflation of the 1990s. The reason is that the deflation of the 2000s (prior to 2008) primarily was a result of positive supply shocks, while the deflation of in 1990s primarily was a result of much more damaging demand deflation. I based this conclusion on my decomposition of inflation (or rather deflation) on my Quasi-Real Price Index.

Here is Krugman:

“A number of readers have asked me for an evaluation of Eamonn Fingleton’s article about Japan. Is Japan doing as well as he says?

Well, no — but his point about the overstatement of Japan’s decline is right…

…The real Japan issue is that a lot of its slow growth has to do with demography. According to OECD numbers, in 1990 there were 86 million Japanese between the ages of 15 and 64; by 2007, that was down to 83 million. Meanwhile, the US working-age population rose from 164 million to 202 million.”

This is exactly my view. In terms of GDP per capita growth Japan has basically done as good (or maybe rather as badly) other large industrialised countries such as Germany and the US.

This is pretty simple to illustrate with a graph GDP/capita for the G7 countries since 1980 (Index 2001=100).

(UPDATE: JP Koning has a related graph here)

A clear picture emerges. Japan was a star performer in 1980s. The 1990s clearly was a lost decade, while Japan in the past decade has performed more or less in line with the other G7 countries. In fact there is only one G7 country with a “lost decade” over the paste 10 years and that is Italy.

Quantitative easing ended Japan’s lost decade

Milton Friedman famously blamed the Bank of Japan for the lost decade in 1990s and as my previous post on Japan demonstrated there is no doubt at all that monetary policy was highly deflationary in 1990s and that undoubtedly is the key reason for Japan’s lost decade (See my graph from the previous post).

In 1998 Milton Friedman argued that Japan could pull out of the crisis and deflation by easing monetary policy by expanding the money supply – that is what we today call Quantitative Easing (QE).

Here is Friedman:

“The surest road to a healthy economic recovery is to increase the rate of monetary growth, to shift from tight money to easier money, to a rate of monetary growth closer to that which prevailed in the golden 1980s but without again overdoing it. That would make much-needed financial and economic reforms far easier to achieve.

Defenders of the Bank of Japan will say, “How? The bank has already cut its discount rate to 0.5 percent. What more can it do to increase the quantity of money?”

The answer is straightforward: The Bank of Japan can buy government bonds on the open market, paying for them with either currency or deposits at the Bank of Japan, what economists call high-powered money. Most of the proceeds will end up in commercial banks, adding to their reserves and enabling them to expand their liabilities by loans and open market purchases. But whether they do so or not, the money supply will increase.

There is no limit to the extent to which the Bank of Japan can increase the money supply if it wishes to do so. Higher monetary growth will have the same effect as always. After a year or so, the economy will expand more rapidly; output will grow, and after another delay, inflation will increase moderately. A return to the conditions of the late 1980s would rejuvenate Japan and help shore up the rest of Asia.”

(Yes, it sounds an awful lot like Scott Sumner…or rather Scott learned from Friedman)

In early 2001 the Bank of Japan finally decided to listen to the advise of Milton Friedman and as the graph clearly shows this is when Japan started to emerge from the lost decade and when real GDP/capita started to grow in line with the other G7 (well, Italy was falling behind…).

The actions of the Bank of Japan after 2001 are certainly not perfect and one can clearly question how the BoJ implemented QE, but I think it is pretty clearly that even BoJ’s half-hearted monetary easing did the job and pull Japan out of the depression. In that regard it should be noted that headline inflation remained negative after 2001, but as I have shown in my previous post Bank of Japan managed to end demand deflation (while supply deflation persisted).

And yes, yes the Bank of Japan of course should have introduces much clearer nominal target (preferably a NGDP level target) and yes Japan has once again gone back to demand deflation after the Bank of Japan ended QE in 2007. But that does not change that the little the BoJ actually did was enough to get Japan growing again.

The “New Normal” is a monetary – not a real – phenomenon

I think a very important conclusion can be drawn from the Japanese experience. There is no such thing as the “New Normal” where deleveraging necessitates decades of no growth. Japan only had one and not two lost decades. Once the BoJ acted to end demand deflation the economy recovered.

Unfortunately the Bank of Japan seems to have moved back to the sins of 1990s – as have the Federal Reserve and the ECB. We can avoid a global lost decade if these central banks learn the lesson from Japan – both the good and the bad.

HT JP Koning

NGDP targeting would have prevented the Asian crisis

I have written a bit about boom, bust and bubbles recently. Not because I think we are heading for a new bubble – I think we are far from that – but because I am trying to explain why bubbles emerge and what role monetary policy plays in these bubbles. Furthermore, I have tried to demonstrate that my decomposition of inflation between supply inflation and demand inflation based on an Quasi-Real Price Index is useful in spotting bubbles and as a guide for monetary policy.

For the fun of it I have tried to look at what role “relative inflation” played in the run up to the Asian crisis in 1997. We can define “relative inflation” as situation where headline inflation is kept down by a positive supply shock (supply deflation), which “allow” the monetary authorities to pursue a easy monetary policies that spurs demand inflation.

Thailand was the first country to be hit by the crisis in 1997 where the country was forced to give up it’s fixed exchange rate policy. As the graph below shows the risks of boom-bust would have been clearly visible if one had observed the relative inflation in Thailand in the years just prior to the crisis.

When Prem Tinsulanonda became Thai Prime Minister in 1980 he started to implement economic reforms and most importantly he opened the Thai economy to trade and investments. That undoubtedly had a positive effect on the supply side of the Thai economy. This is quite visible in the decomposition of the inflation. From around 1987 to 1995 Thailand experience very significant supply deflation. Hence, if the Thai central bank had pursued a nominal income target or a Selgin style productivity norm then inflation would have been significantly lower than was the case. Thailand, however, had a fixed exchange rate policy and that meant that the supply deflation was “counteracted” by a significant increase in demand inflation in the 10 years prior to the crisis in 1997.

In my view this overly loose monetary policy was at the core of the Thai boom, but why did investors not react to the strongly inflationary pressures earlier? As I have argued earlier loose monetary policy on its own is probably not enough to create bubbles and other factors need to be in play as well – most notably the moral hazard.

Few people remember it today, but the Thai devaluation in 1997 was not completely unexpected. In fact in the years ahead of the ’97-devaluation there had been considerably worries expressed by international investors about the bubble signs in the Thai economy. However, the majority of investors decided – rightly or wrongly – ignore or downplay these risks and that might be due to moral hazard. Robert Hetzel has suggested that the US bailout of Mexico after the so-called Tequila crisis of 1994 might have convinced investors that the US and the IMF would come to the rescue of key US allies if they where to get into economic troubles. Thailand then and now undoubtedly is a key US ally in South East Asia.

What comes after the bust?

After boom comes bust it is said, but does that also mean that a country that have experience a bubble will have to go through years of misery as a result of this? I am certainly not an Austrian in that regard. Rather in my view there is a natural adjustment when a bubble bursts, as was the case in Thailand in 1997. However, if the central bank allow monetary conditions to be tightened as the crisis plays out that will undoubtedly worsen the crisis and lead to a forced and unnecessarily debt-deflation – what Hayek called a secondary deflation. In the case of Thailand the fixed exchange rate regime was given up and that eventually lead to a loosening of monetary conditions that pulled the

NGDP targeting reduces the risk of bubbles and ensures a more swift recovery

One thing is how to react to the bubble bursting – another thing is, however, to avoid the bubble in the first place. Market Monetarists in favour NGDP level targeting and at the moment Market Monetarists are often seen to be in favour of easier monetary policy (at least for the US and the euro zone). However, what would have happened if Thailand had had a NGDP level-targeting regime in place when the bubble started to get out of hand in 1988 instead of the fixed exchange rate regime?

The graph below illustrates this. I have assumed that the Thailand central bank had targeted a NGDP growth path level of 10% (5% inflation + 5% RGDP growth). This was more or less the NGDP growth in from 1980 to 1987. The graph shows that the actually NGDP level increased well above the “target” in 1988-1989. Under a NGDP target rule the Thai central bank would have tightened monetary policy significantly in 1988, but given the fixed exchange rate policy the central bank did not curb the “automatic” monetary easing that followed from the combination of the pegged exchange rate policy and the positive supply shocks.

The graph also show that had the NGDP target been in place when the crisis hit then NGDP would have been allowed to drop more or less in line with what we actually saw. Since 2001-2 Thai NGDP has been more or less back to the pre-crisis NGDP trend. In that sense one can say that the Thai monetary policy response to the crisis was better than was the case in the US and the euro zone after 2008 – NGDP never dropped below the pre-boom trend. That said, the bubble had been rather extreme with the NGDP level rising to more than 40% above the assumed “target” in 1996 and as a result the “necessary” NGDP was very large. That said, the NGDP “gap” would never have become this large if there had been a NGDP target in place to begin with.

My conclusion is that NGDP targeting is not a policy only for crisis, but it is certainly also a policy that significantly reduces the risk of bubbles. So when some argue that NGDP targeting increases the risks of bubble the answer from Market Monetarists must be that we likely would not have seen a Thai boom-bust if the Thai central bank had had NGDP target in the 1990s.

No balance sheet recession in Thailand – despite a massive bubble

It is often being argued that the global economy is heading for a “New Normal” – a period of low trend-growth – caused by a “balance sheet” recession as the world goes through a necessary deleveraging. I am very sceptical about this and have commented on it before and I think that Thai experience shows pretty clearly that we a long-term balance sheet recession will have to follow after a bubble comes to an end. Hence, even though we saw significant demand deflation in Thailand after the bubble busted NGDP never fell below the pre-boom NGDP trend. This is pretty remarkable when the situation is compared to what we saw in Europe and the US in 2008-9 where NGDP was allowed to drop well below the early trend and in that regard it should be noted that Thai boom was far more extreme that was the case in the US or Europe for that matter.

Scott is right: Recessions are always and everywhere a monetary phenomenon – just look at QRPI

Scott Sumner has a couple of fascinating posts on recessions on his blog (see here and here).

Scott argues strongly that recessions are a result of nominal shocks rather than real shocks. Scott uses an innovative measure to identify US recessions since 1948. Scott claims that the US economy can be said to be in recession if the unemployment rate increases by 0.6% or more over a 12 months period. That gives 11 recessions since 1948 in the US.

I have compared the timing of these recessions with my measure of “demand inflation” based on my Quasi-Real Price Index (QRPI). If Scott is right that nominal shocks are the key (the only?) driver of recessions then there should be a high correlation between demand inflation and recessions.

The correlation between the two measures is remarkably strong. Hence, if we define a negative nominal shock as a drop in demand inflation below 0% then we have had 7 negative nominal shocks since 1948 in the US. They all coincide with the Sumner-recessions – both in timing and length.

The only four of Scott’s recessions not “captured” by the QRPI development are the recessions in 1970s and the 1980s where demand inflation (and headline inflation) was very high. Furthermore, it should be noted that in two out of four “unexplained” recessions demand inflation nonetheless dropped significantly – also indicating a negative nominal shocks. This basically means that 9 out of 11 recessions can be explained as being a result of nominal shocks rather than real shocks.

Hence, the evidence is very strong that if demand inflation drops below zero then the US economy will very likely enter into recession.

So yes, Scott is certainly right – recessions are always and everywhere a monetary phenomenon! (at least in 80%  of the time). So if the Fed want to avoid recessions then it should pursuit a target for 2% growth path for QRPI or a 5% growth path for NGDP!

A method to decompose supply and demand inflation

It is a key Market Monetarist position that there is good and bad deflation and therefore also good and bad inflation. (For a discussion of this see Scott Sumner’s and David Beckworth’s posts here and here). Basically one can say that bad inflation/deflation is a result of demand shocks, while good inflation/deflation is a result of supply shocks. Demand inflation is determined by monetary policy, while supply inflation is independent of whatever happens to monetary policy.

The problem is that the only thing that normally can be observed is “headline” inflation, which of course mostly is a result of both supply shocks and changes in monetary policy. However, inspired by David Eagle’s work on Quasi-Real Indexing (QRI) I will here suggest a method to decompose monetary policy induced changes in consumer prices from supply shock driven changes in consumer prices. I use US data since 1960 to illustrate the method.

Eagle’s simple equation of exchange

David Eagle in a number of his papers QRI starts out with the equation of exchange:

(1) M*V=P*Y

Eagle rewrites this to what he calls a simple equation of exchange:

(2) N=P*Y where N=M*V

This can be rewritten to

(3) P=N/Y

(3) Shows that consumer prices (P) are determined by the relationship between nominal GDP (N), which is determined by monetary policy (M*V) and by supply factors (Y, real GDP).

We can rewrite as growth rates:

(4) p=n-y

Where p is US headline inflation, n is nominal GDP growth and y is real GDP growth.

Introducing supply shocks

If we assume that we can separate underlining trend growth in y from supply shocks then we can rewrite (4):

(5) p=n-(yp+yt)

Where yp is the permanent growth in productivity and yt is transitory (shocks) changes in productivity.

Defining demand and supply inflation

We can then use (5) to define demand inflation pd:

(6) pd=n- yp

And supply inflation, ps, can then be defined as

(7) ps=p-pd (so p= ps+pd)

Below is shown the decomposition of US inflation since 1960. In the calculation of demand inflation I have assumed a constant growth rate in yp around 3% y/y (or 0.7% q/q). More advanced methods could of course be used to estimate yp (which is unlikely to be constant over time), but it seems like the long-term growth rate of GDP has been pretty stable around 3% of the last couple of decade. Furthermore, slightly higher or lower trend growth in RGDP does not really change the overall results.

We can of course go back from growth rates to the level and define a price index for demand prices as a Quasi-Real Price Index (QRPI). This is the price index that the monetary authorities can control.

The graph illustrates the development in demand inflation and supply inflation. There graph reveals a lot of insights to US monetary policy – for example that the increase in inflation in the 1970s was driven by demand inflation and hence caused by the Federal Reserve rather than by an increase in oil prices. Second and most interesting from today’s perspective demand inflation already started to ease in 2006 and in 2008 we saw a historically sharp drop in the Quasi-Real Price Index. Hence, it is very clear from our measure of the Quasi-Real Price Index that US monetary policy turning strongly deflationary already in early 2008 – and before (!) the collapse of Lehman Brothers.

Lets target a 2% growth path for QRPI

It is clear that many people (including many economists) have a hard time comprehending NGDP level targeting. However, I am pretty certain that most people would agree that the central bank should target something it can actually directly influence. The Quasi-Real Price Index is just another modified price index (in the same way as for example core inflation) so why should the Federal Reserve not want to target a path level for QRPI with a growth path of 2%? (the clever reader will of course realise that will be exactly the same as a NGDP path level target of 5% – under an assumption of long term growth of RGDP of 3%).

In the coming days I will have a look at the QRPI and US monetary history since the 1960s through the lens of the decomposition of inflation between supply inflation and demand inflation.

“Fed greatly destabilized the U.S. economy”

As the European crisis just gets worse and worse I am reminded by what a clever man once said – he is that clever man Ben Bernanke in 2004:

“Some important lessons emerge from the story. One lesson is that ideas are critical. The gold standard orthodoxy, the adherence of some Federal Reserve policymakers to the liquidationist thesis, and the incorrect view that low nominal interest rates necessarily signaled monetary ease, all led policymakers astray, with disastrous consequences. We should not underestimate the need for careful research and analysis in guiding policy. Another lesson is that central banks and other governmental agencies have an important responsibility to maintain financial stability. The banking crises of the 1930s, both in the United States and abroad, were a significant source of output declines, both through their effects on money supplies and on credit supplies. Finally, perhaps the most important lesson of all is that price stability should be a key objective of monetary policy. By allowing persistent declines in the money supply and in the price level, the Federal Reserve of the late 1920s and 1930s greatly destabilized the U.S. economy and, through the workings of the gold standard, the economies of many other nations as well.”

I wonder what he is thinking of his colleagues in the ECB and about his own responsibilities today.

Argentine lessons for Greece

As Greek Prime Minister George Papandreou is fighting to putting together a new government after he yesterday survived a no-confidence vote in the Greek parliament I am once again reminded by the Argentine crisis of 2001-2002.

In my view the similarities with the Argentine crisis are striking – and most of the mistakes made by Argentine policy makers and by the international institutions are being repeated today in regard to the Greek crisis. Most important both in the Argentine case and in the Greek case policy makers refused to acknowledge that monetary policy is at the root of the problems rather than fiscal matters.

My favourite account of the Argentine crisis is the excellent book “And the Money Kept Rolling in (And Out)” by Paul Blustein.

You can’t help thinking of Greece and the efforts of the last year to “save“ the country when you see the title of Chapter 7: “Doubling a Losing Bet”.

I highly recommend Blustein’s book for those who want to understand how international institutions like the IMF works and why they fail and to understand how monetary regimes like Argentina’s currency board become “sacred” – in the same as the gold standard used to be – and this leads to crisis.

But back to Greece – or rather to the parallels to the Argentine crisis.

It has been rumours that former Greek central bank governor Lucas Papademos could take over as new Prime Minister in Greece. I have no clue whether this is going to happen, but the story made me think.

When you are in serious trouble you call in a well-respected former central banker to get some credibility. Argentina did that when Domingo Cavallo – the former successful central bank governor – became economics minister. Cavallo became economics minister on March 20 2001. He then tried to push through a number of austerity measures. He resigns on December 20 after massive protest and violence that kills 20 people. So far there has luckily been less killed in Greece.

So Cavallo lasted only 8 months – even respected central bankers cannot preform fiscal miracles in insolvent nations. But Cavollo’s 8 months as economics minister might be a benchmark for how long a central banker can stay on as economics minister – or Prime Minister.

Another measure of how long Papademos will be able to survive as Prime Minister if he indeed where to succeed Papandreou is to look at how many presidents Argentina had in 2001.

First president to step down was Fernando de la Rúa – on December 20 2001 – the same day Cavallo stepped.

Next one to step down was Adolfo Rodríguez Saá after 7 days in power on December 30 2001.

Eduardo Duhalde came into office January 2 2002 and stays on until May 25 2003. Duhalde a populist famously defaulted on Greece foreign debt – and is more popular with the Argentine public than with foreign creditors.

The question is whether Papademos would be Cavallo, Saá or Duhalde. He can’t really be Cavallo – as we are too long into the process and as Greece has already defaulted on some of the debt, but on the other hand the EU has not pulled the plug on Greece yet. It was really the IMF’s stop for funding of Argentina on December 5 2001 that “killed” Saá. Saá, however, while in government defaulted on foreign private debt on December 7 2001 (Greece effective defaulted on a large share of the private sector debt last week).

The Argentine currency board came to an end on January 6 2002 – around a month after the default on foreign debt and three weeks after Saá resigned…

If this is any guidance for the Greek situation we are surely in the end game…

PS I met Cavallo at a seminar back in 2008 – I was somewhat shocked to hear that he still thinks it was wrong that Argentina gave up the currency board despite more than 20 people died in civil unrest while he was economics minister. The Argentine economy rebound strongly after the currency board was given up and has growly strongly since then.I am certainly not claiming everything is fine in Argentina, but things are certainly better than in 2001.

—-

Update: Cavallo indeed has a view on Greece in the light of his own expirience. See his comment here. Lets just say I think he is mostly wrong…

Update 2 (November 13): Scott Sumner is out with an excellent comment on the lessons from Argentina.