Estimation of a microfounded herding model on German survey expectations
Franke, Reiner (2007) Estimation of a microfounded herding model on German survey expectations. Working Paper. Coventry: Warwick Business School, Financial Econometrics Research Centre. (Working papers (Warwick Business School. Financial Econometrics Research Centre)).
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The paper considers the dynamic adjustments of an average opinion index that can be derived from a microfounded framework where the individual agents switch between two kinds of sentiment with certain transition probabilities. The index can thus represent a general business climate, i.e., expectations about the future course of the economy. This approach is empirically tested with the survey expectations published by the ZEW and ifo institute. The estimated coefficients make economic sense and are highly significant. In particular, besides effects from fundamental data like the output gap in the recent past, one can identify a strong herding mechanism within both panels, such that metaphorically speaking the agents do not just join the crowd but follow each single motion of it. In addition, the transition probabilities of the ZEW agents are found to be influenced by the ifo climate but not the other way round.
|Item Type:||Working or Discussion Paper (Working Paper)|
|Subjects:||H Social Sciences > HB Economic Theory|
|Divisions:||Faculty of Social Sciences > Warwick Business School > Financial Econometrics Research Centre
Faculty of Social Sciences > Warwick Business School
|Library of Congress Subject Headings (LCSH):||Rational expectations (Economic theory), Business cycles, Business forecasting, Kalman filtering, Estimation theory|
|Series Name:||Working papers (Warwick Business School. Financial Econometrics Research Centre)|
|Publisher:||Warwick Business School, Financial Econometrics Research Centre|
|Place of Publication:||Coventry|
|Number of Pages:||52|
|Status:||Not Peer Reviewed|
|Access rights to Published version:||Open Access|
|References:||Alfarano, S. and Lux, T. (2005), “A noise trader model as a generator of apparent power laws and long memory”, Macroeconomic Dynamics (forthcoming). Alfarano, S., Lux, T. and Wagner, F. (2005), Estimation of agent-based models: The case of an asymmetric herding model”, Computational Economics, 26, 19–49. Broyer, S. and Savry, G. (2002), “German leading indicators: Which one should be monitored?”, CDC IXIS Capital Markets Flash, No. 2002–38; http://www.zew.de/de/publikationen/Konjunkturerwartungen/fla2002-38gb.pdf. Davidson, R. and MacKinnon, J.G. (2004), Econometric Theory and Methods. New York: Oxford University Press. Durbin, J. and Koopman, S.J. (2001), Time Series Analysis by State Space Methods. New York: Oxford University Press. Flaschel, P., Franke, R. and Semmler, W. (1997), Dynamic Macroeconomics. Instability, Fluctuations, and Growth in Monetary Economies. Cambridge, Mass: MIT Press. Franke, R. (2007), “Microfounded animal spirits and Goodwinian income distribution dynamics”, in P. Flaschel and M. Landesmann (eds.), Effective Demand, Income Distribution and Growth. Research In Memory of the Work of Richard M. Goodwin. London: Routledge (forthcoming). Franke, R. and Asada, T. (1994), “Expectations dynamics in a Keynes-Goodwin model of the business cycle”, Journal of Economic Behavior and Organization, 24, 273–295. Franke R. and Kalmbach, P., “Structural change in the manufacturing sector and its impact on business-related services: An input-output study for Germany”, Structural Change and Economic Dynamics, 16, 467–488. Haag, G., Weidlich, W. and Mensch, G. (1987), “The Schumpeter clock”, in D. Batten et al. (eds), Economic Evolution and Structural Adjustment. Berlin: Springer. Harvey, A. (1989), Forecasting, Structural Time Series Models and the Kalman Filter. New York: Cambridge University Press. Hüfner, F.P. and Schröeder, M. (2002a), “Forecasting economic activity in Germany: How useful are sentiment indicators?”, ZEW Discussion Paper 02–56. Hüfner, F.P. and Schröeder, M. (2002b), “Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen: Ein ökonometrischer Vergleich”, Jahrbücher für Nationalökonomie und Statistik, 223, 316–336. Kirman, A. (1993), “Ants, rationality, and recruitment”, Quarterly Journal of Economics, 108, 137–156. Kraft, P., Landes, T. and Weise, P. (1986), “Dynamic aspects of a stochastic business cycle model”, Methods of Operations Research, 53, 445–453. Lahl, D. and Hüfner, F. (2003), “What determines the ZEW indicator?”, ZEW Discussion Paper 03–48. Lux, T. (1995), “Herd behaviour, bubbles and crashes”, Economic Journal, 105, 881–896. Lux, T. (1997), “Time variation of second moments from a noise trader/infection model”, Journal of Economic Dynamics and Control, 22, 1–38. Lux, T. (1998), “The socio-economic dynamics of speculative markets: Interacting agents, chaos, and the fat tails of return distributions”, Journal of Economic Behavior and Organization, 33, 143–165. Lux, T. (2007), “Parameter estimation for stochastic models of interacting agents: An approximate ML approach via numerical solutions of transitional densities”, University of Kiel, mimeo. Orl´ean, A. (1995), “Bayesian interactions and collective dynamics of opinion: Herd behavior and mimetic contagion”, Journal of Economic Behavior and Organization, 28, 257–274. Stadler, V. (2001), “Recovery in Germany? What sentiment indicators are telling us”, HypoVereinsbank Policy Watch Economics, 07/09/01; http://www.zew.de/de/publikationen/Konjunkturerwartungen/hvb-paper.pdf. Taylor, L. and O’Connell, S. (1985), “A Minsky crisis”, Quarterly Journal of Economics, 100, 871–886. Weidlich, W. and Braun, M. (1992), “The master equation approach to nonlinear economics”, Journal of Evolutionary Economics, 2, 233–265. Weidlich, W. and Haag, G. (1983), Concepts and Models of a Quantitative Sociology. The Dynamics of Interacting Populations. Berlin: Springer. Weise, P. and Kraft, M. (1988), “Cumulative processes, disproportionalities, and Spiethoff’s theory of the business cycle”, in P. Flaschel and M. Krüger (eds), Recent Approaches to Economic Dynamics, pp. 3–16; Frankfurt a.M.: P. Lang.|
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