business cycles

December 18, 2012

This paper investigates the relationship between the main features of business cycles and the institutional and structural characteristics of countries of up to 62 industrial, emerging and formerly centrally planned economies from all continents. We derive the business cycle characteristics using the nonparametric Harding-Pagan approach. Our analysis reveals that institutional factors have significant associations with the duration and amplitude of business cycles. Examining the determinants of business cycle synchronization for the countries in our sample, we also demonstrate that the bilateral proximity of institutional and policy environments matters in addition to the gravity arguments, trade intensity and bilateral financial linkages used in earlier studies.

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November 25, 2011

This paper investigates the relationship between the main features of business cycles and the institutional and structural characteristics of countries of up to 62 industrial, emerging and formerly centrally planned economies from all continents. We derive the business cycle characteristics using the nonparametric Harding-Pagan approach. Our analysis reveals that institutional factors have significant associations with the duration and amplitude of business cycles. Examining the determinants of business cycle synchronization for the countries in our sample, we also demonstrate that the bilateral proximity of institutional and policy environments matters in addition to the gravity arguments and bilateral trade intensity found to be important in earlier studies.

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January 6, 2011

return on a well-diversified portfolio of corporate bonds is close to zero. In contrast, the empirical finance literature documents large and time-varying risk premia in the corporate bond market (the "credit spread puzzle"). This paper introduces a parsimonious real business cycle model where firms issue defaultable debt and equity to finance investment. The mix between debt and equity is determined by a trade-off between tax savings and bankruptcy costs. By their very nature, corporate bonds, while safe in normal times, are highly exposed to the risk of economic depression. This motivates introducing a small, time-varying risk of large economic disaster. This simple feature generates large, volatile and countercyclical credit spreads as well as novel business cycle implications. An increase in disaster risk makes default more systematic, leading to higher risk premia, and higher expected discounted bankruptcy costs, hence worsening financial frictions. This leads to a reduction in investment, output, and leverage. Financial frictions amplify significantly the effects of disaster risk: the response of investment and output is about three times larger than in the frictionless model.

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January 14, 2011

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August 1, 2010

This paper characterizes business cycle phenomena in a sample of 27 developed and developing economies using a univariate Markov regime switching approach. It examines the efficacy of this approach for detecting business cycle turning points and for identifying distinct economic regimes for each country in question. The paper also provides a comparison of the business cycle turning points implied by this study and those derived in other studies. Our findings document the importance of heterogeneity of individual countries’ experiences. We also argue that consideration of a large and diverse group of countries provides an alternative perspective on the comovement of aggregate economic activity worldwide.

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August 1, 2010

This paper studies business cycle interdependence among the industrialized countries since 1958. Using the spillover index methodology recently proposed by Diebold and Yilmaz (2009) and based on the generalized VAR framework, I develop an alternative measure of comovement of macroeconomic aggregates across countries. I have several important results. First, the spillover index fluctuates over time, increasing substantially following the post-1973 U.S. recessions. Secondly, the band within which the spillover index fluctuates follows an upward trend since the start of the globalization process in the early 1990s. Thirdly, the spillover index recorded the sharpest increase ever following the peak of the global financial crisis in September 2008, reaching a record level as of December 2008 (See http://data.economicresearchforum.org/erf/bcspill.aspx?lang=en for updates of the spillover plot). I also derive measures of directional spillovers and show that the U.S. (1980s and 2000s) and Japan (1970s and 2000s) are major transmitters of shocks to other countries. Finally, during the 2008-2009 global recession shocks mostly originated from the United States and spread to other industrialized countries.

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July 28, 2010

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September 1, 2009

A canonical model is described which reflects the real-time informational context of decision-making. Comparisons are drawn with ‘conventional’ models that incorrectly omit market-informed insights on future macroeconomic conditions and inappropriately incorporate information that was not available at the time. It is argued that conventional models are misspecified and misinterpret news but that these deficiencies will not be exposed either by diagnostic tests applied to the conventional models or by typical impulse response analyses. This is demonstrated through an analysis of quarterly US data 1968q4-2008q4. However, estimated real-time models considerably improve out-ofsample forecasting performance, provide more accurate ‘nowcasts’ of the current state of the macroeconomy and provide more timely indicators of the business cycle. The point is illustrated through an analysis of the US recessions of 1990q3-1991q2 and 2001q1-2001q4 and the most recent experiences of 2008.

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August 1, 2009

We study a stylized theory of the volatility reduction in the U.S. after 1984 - the Great Moderation - which attributes part of the stabilization to less volatile shocks and another part to more difficult inference on the part of Bayesian households attempting to learn the latent state of the economy. We use a standard equilibrium business cycle model with technology following an unobserved regime-switching process. After 1984, according to Kim and Nelson (1999a), the variance of U.S. macroeconomic aggregates declined because boom and recession regimes moved closer together, keeping conditional variance unchanged. In our model this makes the signal extraction problem more difficult for Bayesian households, and in response they moderate their behavior, reinforcing the effect of the less volatile stochastic technology and contributing an extra measure of moderation to the economy. We construct example economies in which this learning effect accounts for about 30 percent of a volatility reduction of the magnitude observed in the postwar U.S. data.

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April 1, 2006

Structural vector-autoregressions with long-run restrictions are extraordinarily sensitive to low-frequency correlations. This paper explores this sensitivity analytically and via simulations, focusing on the contentious issue of whether hours worked rise or fall when technology improves. Recent literature finds that when hours per person enter the VAR in levels, hours rise; when they enter in differences, hours fall. However, once we allow for (statistically and economically plausible) trend breaks in productivity, the treatment of hours is relatively unimportant: Hours fall sharply on impact following a technology improvement. The issue is the common high-low-high pattern of hours per capita and productivity growth since World-War II. Such low-frequency correlation almost inevitably implies a positive estimated impulse response. The trend breaks control for this correlation. In addition, the specification with breaks can easily 'explain' (or encompass) the positive estimated response when the breaks are omitted; in contrast, the no-breaks specification has more difficulty explaining the negative response when breaks are included. More generally, this example suggests a need for care in applying the long-run-restrictions approach.

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