How Deep Are the Deep Parameters?
Policy evaluation based on the estimation of dynamic stochastic general equilibrium models with aggregate macroeconomic time series rests on the assumption that a representative agent can be identified, whose behavioural parameters are independent of the policy rules. Building on earlier work by Geweke, the main goal of this paper is to show that the representative agent is in general not structural in the sens that its estimated behavioural parameters are not policy-indenpente.
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|Date of creation:||1999|
|Date of revision:|
|Contact details of provider:|| Postal: Banca d'Italia-Servizio Studi-Divisione Biblioteca e Pubblicazioni - Via N azionale, 91 -00184 Rome, Italy.|
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- Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
- Frank Hahn & Robert Solow, 1997. "A Critical Essay on Modern Macroeconomic Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 026258154x, December.
- Lars Peter Hansen & Thomas J. Sargent, 1979.
"Formulating and estimating dynamic linear rational expectations models,"
127, Federal Reserve Bank of Minneapolis.
- Hansen, Lars Peter & Sargent, Thomas J., 1980. "Formulating and estimating dynamic linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 7-46, May.
- Thomas J. Sargent, 1980.
"Interpreting economic time series,"
58, Federal Reserve Bank of Minneapolis.
- Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
- Christopher A. Sims, 1982. "Policy Analysis with Econometric Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 13(1), pages 107-164.
- Malinvaud, Edmond, 1981. "Econometrics Faced with the Needs of Macroeconomic Policy," Econometrica, Econometric Society, vol. 49(6), pages 1363-75, November.
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