Can News About the Future Drive the Business Cycle?
Abstract
Aggregate and sectoral comovement are central features of business cycle data. Therefore, the ability to generate comovement is a natural litmus test for macroeconomic models. But it is a test that most existing models fail. In this paper we propose a unified model that generates both aggregate and sectoral comovement in response to contemporaneous shocks and news shocks about fundamentals. The fundamentals that we consider are aggregate and sectoral TFP shocks as well as investment-specific technical change. The model has three key elements: variable capital utilization, adjustment costs to investment, and a new form of preferences that allow us to parameterize the strength of short-run wealth effects on the labor supply.Download Info
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 12537.Length:
Date of creation: Sep 2006
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Handle: RePEc:nbr:nberwo:12537
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- Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
- Jaimovich, Nir & Rebelo, Sérgio, 2006. "Can News About the Future Drive the Business Cycle?," CEPR Discussion Papers 5877, C.E.P.R. Discussion Papers.
- Nir Jaimovich & Sergio Rebelo, 2006. "Can News About the Future Drive the Business Cycle?," 2006 Meeting Papers 31, Society for Economic Dynamics.
- E24 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-10-14 (All new papers)
- NEP-BEC-2006-10-14 (Business Economics)
- NEP-DGE-2006-10-14 (Dynamic General Equilibrium)
- NEP-MAC-2006-10-14 (Macroeconomics)
- NEP-UPT-2006-10-14 (Utility Models & Prospect Theory)
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