Asymmetric business cycles: Theory and time-series evidence

Abstract We offer a theory of economic fluctuations based on intertemporal increasing returns: agents who have been active in the past face lower costs of action today. This specification explains the observed persistence in individual and aggregate output fluctuations even in the presence of i.i.d shocks because individuals respond to the same shock differently depending on their recent past experience. The exact process for output, the sharpness of turning points and the degree of asymmetry are determined by the form of heterogeneity. Our general formulation, under certain assumptions, reduces to a number of popular state space (unobserved components) models. We find that on US data our general formulation performs better than many of the existing econometric models, largely because it allows sharper downturns and more pronounced asymmetries than linear models, and is smoother than discrete regime shift models. Our estimates imply that only modest intertemporal returns are needed for our model to explain US GNP, and that heterogeneity across agents plays an important role in the propagation of business cycle shocks.

[1]  Daniel E. Sichel Business cycle asymmetry: a deeper look , 1993 .

[2]  Johannes M. Pennings,et al.  New technology as organizational innovation : the development and diffusion of microelectronics , 1989 .

[3]  René Garcia,et al.  Série Scientifique Scientific Series Nº 95s-7 Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models , 2022 .

[4]  Jane E. Dutton,et al.  New Technology as Organizational Innovation: The Development and Diffusion of Microelectronics , 1988 .

[5]  Werner Z. Hirsch,et al.  Manufacturing Progress Functions , 1952 .

[6]  Andrew Caplin,et al.  Menu Costs and the Neutrality of Money , 1987 .

[7]  Andrew Harvey,et al.  Trends and Cycles in Macroeconomic Time Series , 1985 .

[8]  Mark A. Schankerman Revisions of Investment Plans and the Stock Market Rate of Return , 1991 .

[9]  Francis X. Diebold,et al.  A Nonparametric Investigation of Duration Dependence in the American Business Cycle , 1990, Journal of Political Economy.

[10]  Russell Cooper,et al.  Machine Replacement and the Business Cycle: Lumps and Bumps , 1995 .

[11]  Michael Gort,et al.  Decomposing Learning by Doing in New Plants , 1993, Journal of Political Economy.

[12]  Kajal Lahiri,et al.  Leading economic indicators : new approaches and forecasting records , 1991 .

[13]  Daron Acemoglu,et al.  Asymmetries in the Cyclical Behaviour of UK Labour Markets , 1994 .

[14]  Glenn D. Rudebusch,et al.  Measuring Business Cycles: A Modern Perspective , 1996 .

[15]  Giuseppe Bertola,et al.  Kinked Adjustment Costs and Aggregate Dynamics , 1990, NBER Macroeconomics Annual.

[16]  Mark W. Watson,et al.  Univariate detrending methods with stochastic trends , 1986 .

[17]  Gavin J. Wright An evolutionary theory of economic change , 1982 .

[18]  David J. Bartholomew Mathematical methods in social science , 1981 .

[19]  Ricardo J. Caballero,et al.  Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S,S) Approach , 1994 .

[20]  Ricardo J. Caballero,et al.  Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S,S) Approach , 1994 .

[21]  Andrew Harvey,et al.  Forecasting, Structural Time Series Models and the Kalman Filter. , 1991 .

[22]  K. Arrow The limits of organization , 1974 .

[23]  H. Scarf THE OPTIMALITY OF (S,S) POLICIES IN THE DYNAMIC INVENTORY PROBLEM , 1959 .

[24]  J. Elston A Comparison of Empirical Investment Equations using Company Panel Data for France, Germany, Belgium and the UK , 1997 .

[25]  Ricardo J. Caballero,et al.  Dynamic (S,S) Economies , 1991 .

[26]  Steven J. Davis,et al.  Gross Job Creation, Gross Job Destruction and Employment Reallocation , 1991 .

[27]  René Garcia,et al.  Asymptotic Null Contribution of the Likelihood Ratio Test in Markov Switching Models , 1995 .

[28]  Robert E. Hall Booms and recessions in a noisy economy , 1991 .

[29]  Bruce E. Hansen,et al.  Erratum: The likelihood ratio test under nonstandard conditions: Testing the Markov switching model of GNP , 1996 .

[30]  Steven N. Durlauf Multiple Equilibria and Persistence in Aggregate Fluctuations , 1991 .

[31]  Russell Cooper,et al.  The Aggregate Implications of Machine Replacement: Theory and Evidence , 1990 .

[32]  Mariann Jelinek,et al.  New Technology as Organizational Innovation , 1987 .

[33]  M. Tushman,et al.  Technological Discontinuities and Organizational Environments , 1986 .

[34]  C. Freeman Economics of Industrial Innovation , 1975 .

[35]  Suzanne J. Cooper Multiple Regimes in U.S. Output Fluctuations , 1998 .

[36]  S. Winter,et al.  An evolutionary theory of economic change , 1983 .

[37]  James D. Hamilton A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .

[38]  Mark E. Doms,et al.  Capital Adjustment Patterns in Manufacturing Plants , 1998 .

[39]  M. Lieberman The Learning Curve and Pricing in the Chemical Processing Industries , 1984 .

[40]  Salih N. Neftçi Are Economic Time Series Asymmetric over the Business Cycle? , 1984, Journal of Political Economy.

[41]  P. Clark,et al.  The Cyclical Component of U. S. Economic Activity , 1987 .

[42]  D. Acemoglu,et al.  A Theory of Economic Fluctuations: Increasing Returns and Temporal Agglomerations , 1993 .

[43]  Costas Meghir,et al.  Dynamic Investment Models and the Firm's Financial Policy , 1994 .

[44]  Diebold,et al.  Measuring Business Cycle: A Modern Perspective , 1998 .