This paper combines the recent garne theoretic approach of endogenous timing of entry to herding models with a rnacroeconornic model of investrnent cycles. The integrated description embodies the qualitative resuits of the rnyopic herding model in a medium run investment objective of smooth ing the capital stock adjustment process. lt features a completely disaggregated structure and bears the potential to synchronize individual cyclic investing be haviors. This synchronization via nonlinear feedback from the aggregate ac tivity can serve as an explanation of the inexistent cancelling of heterogeneous sectoral quasi-cycles. The model others an explanatory base for the constitu tion of the observed strong cyclicality of the aggregate investment series by a multitude of different periodicities and phases on the individual level. Finally, based on recent ndings of the herding literature, the stabilization potential of third parties' information revelation is conjectured.
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Paper provided by University of Munich, Department of Economics in its series Discussion Papers in Economics with number
24.
Find related papers by JEL classification: D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information E22 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Capital; Investment; Capacity E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Scharfstein, David. & Stein, Jeremy C., 1988.
"Herd behavior and investment,"
Working papers
WP 2062-88., Massachusetts Institute of Technology (MIT), Sloan School of Management.
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