Uncertainty of policy recommendations for nonlinear econometric models: some empirical results
Carlo Bianchi (),
Paolo Corsi and
MPRA Paper from University Library of Munich, Germany
A method for evaluating the reliability of policy recommendations derived from a linear dynamic structural econometric model in the framework of the linear quadratic control problem has been recently proposed by Friedmann (1980, 1981). The method analytically derives the asymptotic distribution of the estimated optimal policy and in particular the asymptotic standard errors of policy instruments, with respect to structural coefficients estimation errors. The use of analytic simulation and of Monte Carlo techniques allows to extend Friedmann's findings to medium and large size dynamic linear models and to nonlinear econometric models. Empirical results for some nonlinear models of national economies are reported in the paper.
Keywords: Nonlinear econometric models; optimal control; policy instruments; asymptotic standard errors (search for similar items in EconPapers)
JEL-codes: C63 C3 (search for similar items in EconPapers)
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Published in paper presented at the 1982 Conference on Economic Dynamics and Control, "Decision Making Under Uncertainty", Washington DC: Federal Reserve Board, June 9-11. (1982): pp. 1-20
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:28846
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