An Evolutionary Model of Endogenous Business Cycles
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Abstract
In this paper, we present an evolutionary model of industry dynamics yielding endogenous business cycles with ‘Keynesian’ features. The model describes an economy composed of firms and consumers/workers. Firms belong to two industries. The first one performs R&D and produces heterogeneous machine tools. Firms in the second industry invest in new machines and produce a homogenous consumption good. Consumers sell their labor and fully consume their income. In line with the empirical literature on investment patterns, we assume that the investment decisions by firms are lumpy and constrained by their financial structures. Moreover, drawing from behavioral theories of the firm, we assume boundedly rational expectation formation. Simulation results show that the model is able to deliver self-sustaining patterns of growth characterized by the presence of endogenous business cycles. The model can also replicate the most important stylized facts concerning micro- and macro-economic dynamics. Indeed, we find that investment is more volatile than GDP; consumption is less volatile than GDP; investment, consumption and change in stocks are procyclical and coincident variables; employment is procyclical; unemployment rate is anticyclical; firm size distributions are skewed but depart from log-normality; firm growth distributions are tent-shaped.
Keywords
evolutionary dynamics agent-based computational economics animal spirits lumpy investment output fluctuations endogenous business cyclesPreview
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References
- Agresti, A. and Mojon, B. (2001). Some stylized facts on the euro area business cycle, Working Paper 95, European Central Bank.Google Scholar
- Bartelsman, E. and Doms, M. (2000). Understanding productivity: Lessons from longitudinal microdata. Journal of Economic Literature, 38, 569–594.Google Scholar
- Baxter, M. and King, R. (1999). Measuring business cycle: Approximate band-pass filter for economic time series. Review of Economics and Statistics, 81, 575–593.CrossRefGoogle Scholar
- Blinder, A. and Maccini, L. (1991). Taking stock: A critical assessment of recent research on inventories. Journal of Economic Perspectives, 5, 73–96.Google Scholar
- Bond, S. and Meghir, C. (1994). Dynamic investment models and the firms financial policy. Review of Economic Studies, 61, 197–222.CrossRefGoogle Scholar
- Bottazzi, G., Cefis E., and Dosi, G. (2002). Corporate growth and industrial structures: Some evidence from the Italian manufacturing industry. Industrial and Corporate Change, 11, 705–723.CrossRefGoogle Scholar
- Bottazzi, G. and Secchi, A. (2003a). Common properties and sectoral specificities in the dynamics of U.S. manufacturign firms. Review of Industrial Organization, 23, 217–232.CrossRefGoogle Scholar
- Bottazzi, G. and Secchi, A. (2003b). Why are distribution of firm growth rates tent-shaped? Economic Letters, 80, 415–420.CrossRefGoogle Scholar
- Burns, A.F. and Mitchell, W.C. (1946). Measuring Business Cycles. New York, NBER.Google Scholar
- Caballero, R. (1999). Aggregate investment in Taylor, J. and M. Woodford (eds.). Handbook of Macroeconomics. Amsterdam, Elsevier Science.Google Scholar
- Chiaromonte, F. and Dosi, G. (1993). Heterogeneity competition and macroeconomic dynamics. Structural Change and Economic Dynamics, 4, 39–63.CrossRefGoogle Scholar
- Cyert, R. and March, J. (1989). A Behavioral Theory of the Firm. 2nd edition, Cambridge, Basil Blackwell.Google Scholar
- Doms, M. and Dunne, T. (1998). Capital adjustment patterns in manufacturing plants. Review Economic Dynamics, 1, 409–429.CrossRefGoogle Scholar
- Dosi, G. (1988). Sources procedures and microeconomic effects of innovation. Journal of Economic Literature, 26, 126–171.Google Scholar
- Dosi, G. and Egidi, M. (1991). Substantive and procedural uncertainty: An exploration of economic behaviours in changing environments. Journal of Evolutionary Economics, 1, 145–168.CrossRefGoogle Scholar
- Dosi, G., Fabiani, S., Aversi, R. and Meacci, M. (1994). The Dynamics of international differentiation: a multi-country evolutionary model. Industrial and Corporate Change, 3, 225–242.CrossRefGoogle Scholar
- Dosi, G., Fagiolo G., and Roventini, A. (2005). Animal spirits, lumpy investment and Endogenous Business Cycles, Working Paper 2005/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.Google Scholar
- Dosi, G., Freeman C., and Fabiani, S. (1994). The process of economic development: Introducing some stylized facts and theories on technologies, firms and institutions. Industrial and Corporate Change, 3, 1–45.CrossRefGoogle Scholar
- Dosi, G., Marengo L., and Fagiolo, G. (2005). Learning in evolutionary environment. in Dopfer, K. (ed.), Evolutionary Principles of Economics. Cambridge, Cambridge University Press.Google Scholar
- Dosi, G., Marsili, O., Orsenigo, L. and Salvatore, R. (1995). Learning, market selection and the evolution of industrial structures. Small Business Economics, 7, 411–36.CrossRefGoogle Scholar
- Dosi, G. and Nelson, R. (1994). An introduction to evolutionary theories in economics. Journal of Evolutionary Economics, 4, 153–172.CrossRefGoogle Scholar
- Dosi, G. and Winter, S. (2002). Interpreting economic change: Evolution, structures and games in Augier, M. and J. March (eds.). The Economics of Choice, Change, and Organizations. Cheltenham, Edward Elgar Publishers.Google Scholar
- Eisner, R. (1972). Components of capital expenditures: Replacement and modernization versus expansion. Review of Economics and Statistics, 54, 297–305.CrossRefGoogle Scholar
- Epstein, J. and Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom-Up. Washington D.C., MIT Press.Google Scholar
- Erickson, T. and Whited, T. (2000). Measurement error and the relationship between investment and q. Journal of Political Economy, 108, 1027–1057.CrossRefGoogle Scholar
- Fagiolo, G. and Dosi, G. (2003). Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents. Structural Change and Economic Dynamics, 14, 237–273.CrossRefGoogle Scholar
- Fazzari, S. and Athey, M. (1987). Asymmetric information, financing constraints, and investments. Review of Economics and Statistics, 69, 481–487.CrossRefGoogle Scholar
- Fazzari, S., Hubbard R., and Petersen, B. (1988). Financing constraints and corporate investment. Brookings Papers on Economic Activity, 1, 141–195.CrossRefGoogle Scholar
- Feldstein, M. and Foot, D. (1971). The other half of gross investment: Replacement and modernization expenditures. Review of Economics and Statistics, 53, 49–58.CrossRefGoogle Scholar
- Freeman, C. (1982). The Economics of Industrial Innovation. London, Francis Pinter.Google Scholar
- Goolsbee, A. (1998). The business cycle, financial performance, and the retirement of capital goods, Working Paper 6392, NBER.Google Scholar
- Greenwald, B. and Stiglitz, S. (1993). Financial market imperfections and business cycles. Quarterly Journal of Economics, 108, 77–114.CrossRefGoogle Scholar
- Hubbard, R. (1998). Capital-market imperfections and investment. Journal of Economic Literature, 36, 193–225.Google Scholar
- Kaplan, S. and Zingales, L. (1997). Do investment-cashflow sensitivities provide useful measures of financing constraints?. Quarterly Journal of Economics, 112, 169–215.CrossRefGoogle Scholar
- Katona, G. and Morgan, J.N. (1952). The quantitative study of factors determining business decisions. Quarterly Journal of Economics, 66, 67–90.CrossRefGoogle Scholar
- King, R. and Rebelo, S. (1999). Resuscitating real business cycles. in Taylor, J. and M. Woodford (eds.), Handbook of Macroeoconomics. Amsterdam, Elsevier Science.Google Scholar
- Kirman, A. (1989). The intrinsic limits of modern economic theory: the emperor has no clothes. Economic Journal, 99, 126–139.CrossRefGoogle Scholar
- Kirman, A. (1992). Whom or what does the representative individual represent? Journal of Economic Perspectives, 6, 117–136.Google Scholar
- Kuznets, S. (1930). Secular Movements in Production and Prices. Boston, Houghton Mifflin.Google Scholar
- Kwasnicki, W. (1998). Simulation methodology in evolutionary economics. in Schweitzer, F. and G. Silverberg (eds.), Evolution and Self-Organization in Economics. Berlin, Duncker & Humbold.Google Scholar
- Kydland, F. and Prescott, E. (1990). Business cycles: Real facts and a monetary myth. Federal Reserve of Minneapolis Quarterly Review, Spring 1990, 3–18.Google Scholar
- Lane, D.A. (1993a). Artificial worlds and economics, part I. Journal of Evolutionary Economics, 3, 89–107.CrossRefGoogle Scholar
- Lane, D.A. (1993b). Artificial worlds and economics, Part II. Journal of Evolutionary Economics, 3, 177–97.CrossRefGoogle Scholar
- Mankiw, G.N. and Romer, D. (eds.) (1991). New Keynesian Economics, Cambridge MA, MIT Press.Google Scholar
- Modigliani, F. and Miller, M. (1958). The cost of capital, corporation finance and the theory of investment. American Economic Review, 48, 261–297.Google Scholar
- Napoletano, M., Roventini A., and Sapio, S. (2006). Are business cycles all alike? a bandpass filter analysis of the Italian and US cycles. Rivista Italiana degli Economisti, Forthcoming.Google Scholar
- Nelson, R. (1981). Research on productivity growth and productivity difference: Dead ends and new departures. Journal of Economic Literature, 19, 1029–1064.Google Scholar
- Nelson, R. and Winter, S. (1982). An Evolutionary Theory of Economic Change. Cambridge, The Belknap Press of Harvard University Press.Google Scholar
- Pyka, A. and Fagiolo, G. (2005). Agent-based modelling: A methodology for neo-schumpeterian economics. in Hanusch, H. and A. Pyka (eds.), The Elgar Companion to Neo-Schumpeterian Economics. Cheltenham, Edward Elgar Publishers.Google Scholar
- Rosenberg, N. (1982). Inside the Blackbox. Cambridge, Cambridge University Press.Google Scholar
- Rosenberg, N. (1994). Exploring the Black Box : Technology, Economics and History. Cambridge, Cambridge University Press.Google Scholar
- Silverberg, G. and Lehnert, D. (1994). Growth fluctuations in an evolutionary model of creative destruction. in Silverberg, G. and L. Soete (eds.), The economics of growth and technical change. Cheltenham, Edward Elgar.Google Scholar
- Solow, R.M. (1956). A contribution to the theory of economic growth. Quarterly Journal of Economics, 70: 65–94.CrossRefGoogle Scholar
- Stadler, G.W. (1994). Real business cycles. Journal of Economic Literature, 32 (4), 1750–1783.Google Scholar
- Stock, J. and Watson, M. (1999). Business cycle fluctuations in U.S. macroeconomic time series. in Taylor, J. and M. Woodford (eds.), Handbook of Macroeconomics. Amsterdam, Elsevier Science.Google Scholar
- Tesfatsion, L. (1997). How economists can get ALife. in Arthur, W., S. Durlauf and D. Lane (eds.), The Economy as an Evolving Complex System II. Santa Fe Institute, Santa Fe and Reading, MA, Addison-Wesley.Google Scholar
- Thomas, L. (2002). Is lumpy investment relevant for business cycle? Journal of Political Economy, 110, 508–534.CrossRefGoogle Scholar
- Zarnowitz, V. (1985). Recent works on business cycles in historical perspectives: A review of theories and evidence. Journal of Economic Literature, 23, 523–580.Google Scholar
- Zarnowitz, V. (1997). Business cycles observed and assessed: Why and how they matter. Working Paper 6230, NBER.Google Scholar