Firm's R&D Behavior Under Rational Expectations
AbstractThis paper formulates dynamic R\&D investment decisions of private firms as an optimal stochastic control problem. It derives explicitly R\&D investment decision rule and the cross equations parameter restrictions imposed by the rational expectations hypothesis, using the Riccati equations only and not requiring the use of Wiener-Kolmogorov prediction formula. Identification and estimation of the structural parameters are essential for evaluating policies such as R\&D subsidies, firm size, market concentration so that the evaluations of these policies stand against Lucas critique. We find conditions under which the structural parameters are identified; we then discuss econometric procedures for using aggregate time series data or panel data on firms to deal with unobserved technological knowledge, to estimate the structural parameters, and to test the model.
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Bibliographic InfoPaper provided by EconWPA in its series Development and Comp Systems with number 9705004.
Length: 22 pages
Date of creation: 30 May 1997
Date of revision:
Note: Type of Document - postscript; prepared on IBM PC - PC-TEX; to print on PostScript; pages: 22 ; figures: no-figures. For comments and reference.
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R&D; Rational Expectations; stochastic control;
Other versions of this item:
- O31 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
This paper has been announced in the following NEP Reports:
- NEP-ALL-1998-10-02 (All new papers)
- NEP-DGE-1998-10-02 (Dynamic General Equilibrium)
- NEP-TID-1998-10-02 (Technology & Industrial Dynamics)
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"Formulating and estimating dynamic linear rational expectations models,"
127, Federal Reserve Bank of Minneapolis.
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