Business cycle
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The business cycle or economic cycle refers to the periodic fluctuations of economic activity about its long term growth trend. The cycle involves shifts over time between periods of relatively rapid growth of output (recovery and prosperity), alternating with periods of relative stagnation or decline (contraction or recession). These fluctuations are often measured using the real gross domestic product. One of the government's main roles is to smooth out the business cycle and reduce its fluctuations.
To call those alternances "cycles" is rather misleading as they don't tend to repeat at fairly regular time intervals. Most observers find that their lengths (from peak to peak, or from trough to trough) vary, so that cycles are not mechanical in their regularity. Since no two cycles are alike in their details, some economists dispute the existence of cycles and use the word "fluctuations" (or the like) instead. Others see enough similarities between cycles that the cycle is a valid basis of studying the state of the economy. A key question is whether or not there are similar mechanisms that generate recessions and/or booms that exist in capitalist economies so that the dynamics that appear as a cycle will be seen again and again.
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[edit] Types of business cycle
[edit] Traditional business cycle models
The main types of business cycles enumerated by Joseph Schumpeter and others in this field have been named after their discoverers or proposers:
- the Kitchin inventory cycle (3-5 years) - after Joseph Kitchen.
- the Juglar fixed investment cycle (7-11 years) -- after Clement Juglar.
- the Kuznets infrastructural investment cycle (15-25 years) -- after Simon Kuznets, Nobel Laureate.
- the Kondratieff wave or cycle (45-60 years) -- after Nikolai Kondratieff.
Even longer cycles are occasionally proposed, often as multiples of the Kondratiev cycle.
[edit] Juglar cycle
In the Juglar cycle, which is sometimes called "the" business cycle, recovery and prosperity are associated with increases in productivity, consumer confidence, aggregate demand, and prices. In the cycles before World War II or that of the late 1990s in the United States, the growth periods usually ended with the failure of speculative investments built on a bubble of confidence that bursts or deflates. In these cycles, the periods of contraction and stagnation reflect a purging of unsuccessful enterprises as resources are transferred by market forces from less productive uses to more productive uses. Cycles between 1945 and the 1990s in the United States were generally more restrained and followed political factors, such as fiscal policy and monetary policy. Automatic stabilisation due the government's budget helped defeat the cycle even without conscious action by policy-makers.
[edit] Politically based business cycle models
Another set of models tries to derive the business cycle from political decisions.
The partisan business cycle suggests that cycles result from the successive elections of administrations with different policy regimes. Regime A adopts expansionary policies, resulting in growth and inflation, but is voted out of office when inflation becomes unacceptably high. The replacement, Regime B, adopts contractionary policies reducing inflation and growth, and the downwards swing of the cycle. It is voted out of office when unemployment is too high, being replaced by Party A.
The political business cycle is an alternative theory stating that when an administration of any hue is elected, it initially adopts a contractionary policy to reduce inflation and gain a reputation for economic competence. It then adopts an expansionary policy in the lead up to the next election, hoping to achieve simultaneously low inflation and unemployment on Polling Day.
[edit] Preventing Business Cycles
Because the periods of stagnation are painful for many who lose their jobs, pressure arises for politicians to try to smooth out the oscillations. An important goal of all Western nations since the Great Depression has been to limit the dips. Government intervention in the economy can be risky, however. For instance, some of Herbert Hoover's efforts (including tax increases) are widely, though not universally, believed to have deepened the depression.
No one argues that managing economic policy to even out the cycle is an easy job in a society with a complex economy, even when Keynesian theory is applied. According to some theorists, notably nineteenth-century advocates of communism, this difficulty is insurmountable. Karl Marx in particular claimed that the recurrent business cycle crises of capitalism were inevitable results of the system's operations. In this view, all that the government can do is to change the timing of economic crises. The crisis could also show up in a different form, for example as severe inflation or a steadily increasing government deficit. Worse, by delaying a crisis, government policy is seen as making it more dramatic and thus more painful.
Additionally, Neoclassical economics plays down the ability of Keynesian policies to manage an economy. Challenging the Phillips Curve since the 1960's, men like Nobel Laureate Milton Friedman or 2006 Nobel Laureate Edmund Phelps have made ground in their arguments that inflationary expectations negate the Phillips Curve in the long run. The stagflation of the 70's supported their theory by flying in the face of Keynesian predictions. Friedman has gone so far as to argue all the Fed can do is to avoid making large mistakes, as he believes they did by contracting the money supply very rapidly in the face of the Stock Market Crash of 1929, in which they made what would have been a recession a great depression. (Friedman calls The Great Depression The Great Contraction because of this).
Therefore, good forecasts of cyclical turning points are critical to improve policy decisions. The Economist noted that the Weekly Leading Index published by the Economic Cycle Research Institute (ECRI) is a successful real-time indicator to watch. ECRI was founded by Geoffrey H. Moore, who created the first ever Index of Leading Economic Indicators in the 1950s.
Monetary and fiscal policy help to smooth the cycle out as well.
[edit] Alternative Interpretations of Business Cycles
[edit] Austrian School
The Austrian School of economics rejects the suggestion that the business cycle is an inherent feature of an unregulated economy and argues that it is caused by intervention in the money supply. Austrian School economists, following Ludwig von Mises, point to the role of the interest rate as the price of investment capital, guiding investment decisions. In an unregulated (free-market) economy, it is posited that the interest rate reflects the actual time preference of lenders and borrowers. Some follow Knut Wicksell to call this the "natural" interest rate.[1] Government control of the money supply through central banks disturbs this equilibrium such that the interest rate no longer reflects the real supply of and demand for investment capital. Austrian School economists conclude that, if the interest rate is artificially low, then the demand for loans will be higher than the actual supply of willing lenders, and if the interest rate is artificially high, the opposite situation will occur. This misinformation leads investors to misallocate capital, borrowing and investing either too much or too little in long-term projects. Periodic recessions, then, are seen as necessary "corrections" following periods of fiat credit expansion, when unprofitable investments are liquidated, freeing capital for new investment.
The Austrian theory also predicts that the imposition of artificially low interest rates, and the resulting increase in the supply of fiat credit, generates inflation, which obliges the central bank to increase the supply of credit yet further to maintain the artificially low interest rate, thus prolonging the "boom" and worsening the inevitable "correction." In Austrian theory, depressions and recessions are postive forces in-so-much that they are the market's natural mechanism of undoing the misallocation of resources present during the “boom” or inflationary phase. Austrian School economists point to the dot-com investment frenzy as a modern example of artificially abundant credit subsidizing unsustainable overinvestment.
In the Keynesian view, this Austrian theory assumes that the "natural" rate of interest is unique at any given time and cannot be affected by policy. To Keynesian economists, this rate is only unique if the economy is assumed to always be at full employment. If the economy is operating with less than full employment, i.e., with high unemployment above the NAIRU, then in theory monetary policy and fiscal policy can have a positive role to play rather than simply creating booms that necessarily collapse on themselves. It should be noted that, in the Austrian School, the absence of full employment is typically attributed to government interference in the labour markets, such as minimum wage laws, employment regulations, and taxes levied against employers, which prevent the employment market from fully clearing.
[edit] Marxist Views
Michal Kalecki's [2] Marxian-influenced "political business cycle" theory blames the government: he argued that no democratic government under capitalism would allow the persistence of full employment, so that recessions would be caused by political decisions: persistent full employment would mean increasing workers' bargaining power to raise wages and to avoid doing unpaid labor, potentially hurting profitability. (He did not see this theory as applying under fascism, which would use direct force to destroy labor's power.) In recent years, proponents of the "electoral business cycle" theory have argued that incumbent politicians encourage prosperity before elections in order to ensure re-election -- and make the citizens pay for it with recessions afterwards.
[edit] The Regular Cycles of Money, Inflation, Regulation and Depressions
In his 1984 book “Regular Cycles of Money, Inflation, Regulation and Depressions” Ravi Batra presented a calculation of decennial averages for i) money growth, ii) number of new regulationary laws or institutions and iii) inflation in the USA for a period exceeding two hundred years. The cycles were of a regular rise and then decline in the above mentioned variables. While an unrelated prediction for a depression to unfold in the 1990s failed to materialise, the evolution of these variables in the 1990s and 2000s has broadly conformed to the regular decennial pattern.
[edit] Milton Friedman's Interpretation
Milton Friedman has stated on a number of occasions that calling the business cycle a "cycle" is a misnomer, because of its' non-cyclicality. He compares it to the seasonal sales cycle that occurs on the average year, where the business cycle is inconsistent and unpredictable. He thinks that for the most part and excluding very large supply shocks, business declines are more of a monetary phenomenon.
[edit] Cycles or fluctuations?
In recent years economic theory has moved towards the study of economic fluctuation rather than a 'business cycle' - though some economists use the phrase 'business cycle' as a convenient shorthand.
Rational expectations theory states that no deterministic cycle can persist because it would consistently create arbitrage opportunities. Much economic theory also holds that the economy is usually at or close to equilibrium.
These views led to the formulation of the idea that observed economic fluctuations can be modelled as shocks to a system.
A moving average of a stochastic stationary variable also bears resemblance to a graph of an economic time-series, such as inflation, unemployment, or investment. Such graphs arguably resemble actual events more closely than deteministic cycle formulae.
These fluctuations can be modelled in terms of fluctuations of aggregate demand. However, the main influence in this direction has been real business cycle models which consider fluctuations in supply (technology shocks). This theory is most associated with Finn E. Kydland and Edward C. Prescott, winners of the 2004 Bank of Sweden Prize in Economic Sciences in Memory of Alfred Nobel.
[edit] Why will there not be a prolonged recession?
Firstly, productive capital used by firms will be worn out over time and require replacements. Spending on capital equipment such as machinery is necessary, which increases aggregate expenditure (AE) and causes the economy to slowly climb. Secondly, the low prices characteristic of a trough phase will cause increased demand for them, resulting in inflation which is characteristic of the boom phase. The low interest rates will stimulate increased borrowing. The repayments and interest which need to be paid back will contribute to the rise in AE. Governments also aim to improve the business cycle so as to provide stability, get re-elected and to ease worries about the state of the economy. They also do this to attract foreign investors and improve their international reputation.
[edit] Random Walks and chaotic patterns
In 1900 Louis Bachelier proposed that the fluctuations in share prices follow random walks, being complete random with no cyclic properties. Whilst this was a ground breaking work, Bachelier's model failed to account for big fluctuations such as the Great Depression. In the 1960s, Benoît Mandelbrot proposed that fluctuation in cotton prices follow a Lévy flight distribution, which have a fat tail allowing greater probability for large fluctuations.[1] In 1995, physicists R. Mantegna and G. Stanley analyzed over a million records of stock market indices from the previous five years, and they found that the actual distribution lay between the Gaussian random walks and Lévy flights. They also found that similar distributions were found regardless of the time scale exhibiting self-similarity[2]. An accurate model is yet to be found.
[edit] Problems of Measurement
Some argue that modern business cycle theory often measures growth by using the flawed measure of the economy's aggregate production, i.e., real gross domestic product, which is not useful for measuring well-being and also generates distortions in the perception of economic grow because the price changes of the various products are disproportional. Accordingly, there is a mismatch between the state of economic health as perceived by many individuals and that perceived by the bankers and economists, which most likely drives them further apart politically. However, unlike with issues of long-term economic growth, the economists and bankers may be right to use real GDP when studying business cycles. After all, it is fluctuations in real GDP, not those of measures of well-being, that cause changes in employment, unemployment, interest rates, and inflation, i.e. economic issues which are their main concern of business cycle experts.
Business cycle theory has been most effective in microeconomics where it aids in the preparation of risk management scenarios and timing investment, especially in infrastructural capital that must pay for itself over a long period, and which must fund itself by cashflow in late years. When planning such large investments, it is often useful to use the anticipated business cycle as a baseline, so that unreasonable assumptions, e.g. constant exponential growth, are more easily eliminated.
[edit] See also
- Real business cycles
- Elliott wave theory
- Double taxation of dividends
- Economic policy
- Grand supercycle
- Market trends
- Ravi Batra
- Joseph Schumpeter
- Carlota Perez
- Austrian School
[edit] External links
- An Austrian Theory of Business Cycles
- What is the Business Cycle?
- List of U.S. recessions in terms of peak and trough of business cycle
- From the New School for Social Research, by Gonçalo L. Fonseca and Leanne J. Ussher:
- Do business cycles really exist?
- Climate-driven cycles
- Over-investment cycles
- Psychological & lead/lag cycles
- Monetary cycles
- Underconsumption theories
- Exogenous shock-based cycles
- Keynesian theories of the cycle:
[edit] References
- ^ Philip Ball, Critical mass Random House, 2004. ISBN 0-09-945786-5
- ^ Rosario N. Mantegna, H. Eugene Stanley, An Introduction to Econophysics: Correlations and Complexity in Finance, Cambridge University Press (Cambridge, 1999)
