Deflation and Depression: Is There an Empirical Link?

Deflation has a bad reputation. People blame deflation for causing the great depression in the 1930s. What worse reputation can you get as a self-respecting macroeconomic phenomena?

The inconvenient truth for this urban legend is empirical evidence of deflation leading to a depression is rather weak.

The most obvious is confounding evidence, is up until the great depression, deflation was commonplace. In the late 19th century, deflation coincided with strong growth, growth so strong that it was called the Industrial Revolution.

For deflation to be a depressing force, something must have happened in the lead up to the Great Depression to change the impact of deflation on economic growth.

Atkeson and Kehoe in the AER looked into the relationship between deflation and depressions and came up empty-handed.

Deflation and depression do seem to have been linked during the 1930s. But in the rest of the data for 17 countries and more than 100 years, there is virtually no evidence of such a link.

 

猛虎's avatarAnalyse Economique

Deflation and Depression: Is There an Empirical Link?

Andrew Atkeson, and Patrick J. Kehoe, 2004.

Are deflation and depression empirically linked? No, concludes a broad historical study of inflation and real output growth rates. Deflation and depression do seem to have been linked during the 1930s. But in the rest of the data for 17 countries and more than 100 years, there is virtually no evidence of such a link.

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Hayek on why Keynesian macroeconomics initially became popular and stayed popular despite eventual empirical failure

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The success of monetarism and the death of the correlation between monetary growth and inflation

The Velocity of Money

Monetarists blame fluctuations in inflation on excessively volatile growth in monetary aggregates. In 1982, Friedman defined monetarism in an essay on defining monetarism as follows:

Like many other monetarists, I have concluded that the most important thing is to keep monetary policy from doing harm.

We believe that a steady rate of monetary growth would promote economic stability and that a moderate rate of monetary growth would prevent inflation

The U.S. data supported this hypothesis about the volatility of monetary growth and inflationuntil 1982, but since 1983 monetary aggregates have been essentially uncorrelated with subsequent inflation in the U.S.

Levis Kochin pointed out in 1979 that a well designed monetary policy would lead to zero correlation between any measure of monetary policy and subsequent inflation. The reason for this is the correlation between any variable and a constant is zero.

If monetary growth is stable, say, a constant growth rate of 4% per year, as advocated by Milton Friedman, monetary growth will have no correlations with any variable:

Poole (1993, 1994) and Tanner (1993) also argue that one predictable consequence of optimal monetary policy is that the correlation between monetary policy instruments and policy goals will be driven to zero.

Poole further contends that it is obvious to any careful reader of Theil (1964) that optimally variable policy will give rise to a zero correlation between policy and goal variable…

In 1966 Alan Walters, a U.K. monetarist, observed:

If the [monetary] authority was perfectly successful then we should observe variations in the rate of change of the stock of money but not variations in the rate of change of income… [a]ssuming that the authority’s objective is to stabilize the growth of income.

Milton Friedman in 2003, wrote about how the Fed acquired a good thermostat:

The contrast between the periods before and after the middle of the 1980s is remarkable.

Before, it is like a chart of the temperature in a room without a thermostat in a location with very variable climate; after, it is like the temperature in the same room but with a reasonably good though not perfect thermostat, and one that is set to a gradually declining temperature.

Sometime around 1985, the Fed appears to have acquired the thermostat that it had been seeking the whole of its life…

Prior to the 1980s, the Fed got into trouble because it generated wide fluctuations in monetary growth per unit of output. Far from promoting price stability, it was itself a major source of instability as Chart 1 illustrates.

Yet since the mid ’80s, it has managed to control the money supply in such a way as to offset changes not only in output but also in velocity.

Nick Rowe explained the difficulty of causation and correlation under different policy regimes and Milton Friedman’s thermostat superbly as an econometric problem Nick Rowe:

If a house has a good thermostat, we should observe a strong negative correlation between the amount of oil burned in the furnace (M), and the outside temperature (V).

But we should observe no correlation between the amount of oil burned in the furnace (M) and the inside temperature (P). And we should observe no correlation between the outside temperature (V) and the inside temperature (P).

An econometrician, observing the data, concludes that the amount of oil burned had no effect on the inside temperature. Neither did the outside temperature. The only effect of burning oil seemed to be that it reduced the outside temperature. An increase in M will cause a decline in V, and have no effect on P.

A second econometrician, observing the same data, concludes that causality runs in the opposite direction. The only effect of an increase in outside temperature is to reduce the amount of oil burned. An increase in V will cause a decline in M, and have no effect on P.

But both agree that M and V are irrelevant for P. They switch off the furnace, and stop wasting their money on oil.

Subsequent work of Levis Kochin showed that if the effects of fluctuations in monetary aggregates were not precisely known then the optimal policy would produce negative correlations between monetary aggregates and inflation:

The negative correlation results from coefficient uncertainty because the less certain we are about the size of a multiplier, the more cautious we should be in the application of the associated policy instrument.

Therefore, although optimal policy leads to lack of correlation between the goal and control variables if the coefficient is known, it will lead to a negative relationship if there is coefficient uncertainty. The higher the uncertainty, the more cautious will be the optimal policy response. Also, if the control variable can’t be controlled perfectly then the correlation between the goal and the control variable becomes positive i.e., the control errors are random…

Uncertainty about the impact of a policy  will stay the hand of any bureaucrat , much less a central banker, as Kochin and his co-author explain:

Uncertainty should lead to less policy action by the policymakers. The less policymakers are informed about the relevant parameters, the less activist the policy should be. With poor information about the effects of policy, very active policy runs a higher danger of introducing unnecessary fluctuations in the economy.

The competing visions of stabilisation policy have been defined by Franco Modigliani and Milton Friedman

Has the USA moved to lower trend GDP growth path?

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HT: Jagadeesh Gokhale

Robert Lucas interview in Brazil, 2nd November 2012

Paul Samuelson and Robert Lucas both agree that economists have solved the problem of economic depressions

HT: Peter Boettke via Robert-skidelsky

Economic Rebounds in U.S. and Euro Zone: Deceivingly Similar, Strikingly Different

via Economic Rebounds in U.S. and Euro Zone: Deceivingly Similar, Strikingly Different – Dallas Fed.

Has employment actually increased under Obama?

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The Great Recession was driven by a collapse in hiring

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The role of the introduction of a five day working week in Japan’s Lost Decade

When I lived in Japan between 1995 and 1997, they are undergoing the transition from a six-day week to a five day week. At the time, workers at my University had to show up on Saturday morning. They then went home at lunchtime. Saturday morning at the office was phased out a few years later.

In explanations of the Lost Decade of growth in Japan dating from the early 1990s, with the exception of Ed Prescott, the explanation that the Japanese simply chose to produce less per worker over the course of the 1990s does not figure highly.

The Japanese working week was reduced by law from 48 to 44 hours per week in 1988 and further reduced by the same labour standards law to 40 hours per week from 1993 (Prescott 1999; Hayashi and Prescott 2002). The Japanese stopped routinely working on Saturdays over the 1990s. The number of national holidays was increased by three and an extra day of annual leave was also prescribed by law.

Figure 1 shows this regulatory change about the length of the standard working week that started in 1987 was followed by a sharp drop in hours worked per working per working age Japanese over the period 1988 to 1993. The Japanese working age population is defined as those aged 20 to 69 (Hayashi and Prescott 2002).

Figure 1: Weekly hours worked per Japanese aged 20 to 69, 1970-2000

Source: Hayashi and Prescott 2002.

The regulatory process to end the standard six day working week in Japan straddled the start of the Lost Decade. This major change in the regulation of the supply of labour per week in the number of hours worked and the stagnation of GDP growth soon after could be more than a coincidence (Prescott 1999; Hayashi and Prescott 2002).

More employment did not fill the short-fall in weekly labour supply per worker after the introduction of the 44 hour week and then the 40 hour week in Japan. Many offices and factories closed on Saturday rather than employ more to make up the hours. The regulatory change was a clear cut constraint on the length of the working week that was hard to get around because of the need to recruit a separate set of workers to come in on Saturday afternoon and then all day Saturday.

During the transition to a five day working week, Japanese real GDP growth should slow down because output levels must taper during a transitional period because one day per week less in labour is supplied in production and capital is being worked for one day a week less than before (Prescott 1999; Hayashi and Prescott 2002).

Output per working age person depends on capital-labour ratios, on hours worked per week and on changes in total factor productivity due to factors such as technological progress and changes in institutions and economic policies.

The effects of the change in the length of the working week on output per working age Japanese will persist for a significant time because investment plans and the capital stock must also adjust to a shorter working week. This is another example of a highly persistent shock that can partly account for the Lost Decade. As Prescott (1999) observed:

Given the change in Japanese law and the resulting drop in normal market hours, growth theory predicts the almost stagnant output of the Japanese economy in the 1990s. This reduction in market hours lowered the marginal product of capital, making investment unprofitable.

Given the lack of profitable domestic investment opportunities, the Japanese began saving by investing abroad. This explains Japan’s large trade surpluses

…The Japanese economy in the 1990s is not as depressed as the U.S. economy was in the 1930s. Market hours in Japan in the 1990s have fallen only half as much as market hours fell in the United States during the Great Depression.

More importantly, the reduction in market hours in Japan in the 1990s was the stated objective of policy.

The reduction in weekly hours worked will also reduce the working week of capital because labour and capital are usually complementary inputs. The reduced length of the working week will see some existing capital producing less, some capital will go spare, and the rate of wear and depreciation will fall.

The drop in weekly hours worked will lower the marginal productivity of existing and new capital which will make new capital investments in Japan less profitable than before. Net investment will be less while the Japanese capital stock is adjusting down to the reduced working week for capital and labour.

Measured total factor productivity will fall because of an under-utilisation of a capital stock that is now larger than required for the available labour force. Net investment will decline by a large amount because investment demand is a small yearly addition to the capital stock.

For example, if annual investment demand is 5 per cent of the capital stock, and the desired capital stock becomes 1 per cent smaller than previous, annual net investment will fall 20 per cent. GDP growth will resume at the trend rate once the lower level of output per working age person is reached.

For those that still doubt, consider the contrary, what would you expect to happen in your country moved from five day week before day working week? Do you expect workers to produce as much as before? Britain was on a three day working week during the coal miners’ strike. As expected, output fell because the working week was shorter.

The main gap in the English language literature about the reduction in the working week in Japan is a lack of publications I can find by Japanese economists discussing what predictions of a made about the likely consequences for output, investment and productivity before the reduction in the length of working week was legislated. Did the reduction in the length of the working week in Japan turn out as planned and predicted before it was implemented?

France introduced a 35 hour week some years ago. Although there were various options for over time, albeit strictly regulated, a uniform prediction was that the 35 hour week would reduce productivity. The new workweek was phased in slowly, with large firms adopting it in February 2000 and smaller firms doing so only in January 2002.

French employees were expected to bear only a small part of the cost of the working-time reduction, continuing to earn roughly the same monthly income – in line with the unions’ slogan ’35 hours pays. To ease that transition, the law reduced the overtime premium for small firms and increased their annual limit on overtime work compared with large firms.

The reduction in the length of the French working week failed as work sharing strategy and reduced productivity. This was a fair summary by the IMF:

The 35-hour workweek appears to have had a mainly negative impact. It failed to create more jobs and generated a significant—and mostly negative—reaction both from companies and workers as they tried to neutralize the law’s effect on hours of work and monthly wages.

While it cannot be ruled out that individuals who did not change their behaviour because of the law became more satisfied with their work hours, simple survey measures do not show increased satisfaction.

Between 1997 and 2000, Quebec reduced its standard workweek from 44 to 40 hours to stimulate jobs growth – the old work sharing ideal. The Quebec policy contained no suggestion or requirement that employers provide wage increases to compensate workers for lost hours.

Despite a 20% reduction among full-time workers in weekly hours worked beyond 40, the policy failed to raise employment at the provincial level or within industries. If anything, there were job losses.

Japan was the only case where a reduction in the length of the working week met with wide approval by the public and people simply stopped working on Saturdays. The law succeeded simply because it did but it was designed to do: reduce the number of days existing workers worked. Japan was undergoing mild deflation at the time, so the need to reduce wages was minimal.

Annual hours worked per employed Japanese has continued to slowly taper down since the late 1990s, which may be a further explanation of its continual slow growth.

David Andolfatto wrote a nice paper explaining the consequences for the financial and monetary sectors of this reduction in the length of the Japanese working week:

  • a steady decline in bank lending;
  • the money multiplier declines;
  • nominal interest rates that are close to zero; and
  • massive infusions of liquidity by the Bank of Japan that seem to have no effect at all.

In his analysis, David Andolfatto referred generally to a productivity slowdown as discussed by Prescott rather than to the specifically to the reduction in the length of the Japanese working week. Nothing detracts in his analysis, as Andolfatto said, that Japan has a problem: lagging productivity growth and as Andolfatto concluded:

…monetary and fiscal policies, or reforms directed exclusively at the banking sector, are unlikely to re-establish productivity growth. What is likely needed are economy-wide reforms that enhance the willingness and ability of individuals to adopt potentially disruptive technological advancements and work practices.


Obamanomics: slowest jobs recovery in 50 years

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Real business cycles, the declining clarity of information and learning by waiting

Willems and van Wijnbergen (2013) identified reduced clarity in information about business cycle fluctuations as a factor that is the lengthening the lag in the response of employment to output changes in recent US recessions.

Willems and van Wijnbergen (2013) – ungated – found that the trough in employment in the 1991 and 2001 recessions was much later than the troughs for earlier US recessions.

  • There was a stronger immediate reduction in employment in pre-1990 US recessions and a faster recovery, so the 1991 and 2001 recessions were initially job-preserving – the rate at which workers were laid off was less than in prior recessions.
  • Employment in the 1991 and 2001 recessions continued to fall for another year after the trough in output.
  • The job-preserving recessions in 1991 and 2001 were then followed by this delayed recovery in employment growth.
  • There is a lengthening labour adjustment lag that slows the loss of jobs at the start of recessions and delays the renewal of recruitment at the end of recessions.

Willems and van Wijnbergen (2013) attributed this combination of job-preserving recessions and delayed employment recoveries in 1991 and 2001 to the interaction of rising labour adjustment costs and a reduction in the clarity of entrepreneurial information about the business cycle.

The rising labour adjustment costs arose from the capital losses to employers of laying off employees who are increasingly rich in firm-specific human capital. The risks of laying off and investing precipitously have increased in recent decades because output growth subsequent to the great moderation in real output growth volatility is less predictable.

The US economy experienced a 50% reduction in volatility for many leading macroeconomic variables as well as low inflation since the early to mid-1980s. Similar declines in the real volatility and inflation rates occurred at about the same time in other industrial countries.

Prior to the mid-1980s, US real output growth was more variable, but this variation was more predictable. Frequent recessions were soon followed by recoveries. Since the early to mid-1980s in the US, major variations in real GDP growth have come increasingly as genuine surprises – 1983–2007 was one long boom punctuated by two mild recessions in 1991 and 2001.

The delay in the official dating of the peaks and troughs in business cycles in the US has increased from an average of 7½ months before 1990 to about 15 months in the post-1990 period (Willems and van Wijnbergen 2013).

With recessions more of a surprise – and the scope and depth of the panic of 2008 is an example of such a surprise in New Zealand and abroad – the value of waiting for better market information has increased.

Less certain information makes it more profitable than before for entrepreneurs to invest in waiting before laying off increasingly human capital-rich employees, making new investments and undertaking fresh recruitment. The impact of the business cycle on employment will be more muted.

Modern recessions can be initially job-preserving – layoffs are postponed for longer because the rising cost of laying off experienced labour is higher and because of the increased value of waiting to see. Recoveries in employment can be more sluggish as investors wait to be sure about the latest trends. These employers can use the employees they hoarded in larger numbers in the downswing to fill orders in the early days of the upswing in business:

We have presented evidence that the lag with which labour input reacts to structural economic shocks went up in the 1980s, thereby bringing jobless recoveries and recessions that were relatively job preserving to the US economy.

Using a real option model, this lagged response is shown to be optimal in a setting where labour input is costly to adjust and where employers are uncertain about the persistence of shocks that drive the business cycle

Business Cycle Debate – Block Vs Kirchner

Video

Economists are terrible at forecasts

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