J.A. Hernández Sánchez () (Universidad de Las Palmas de Gran Canaria. Departamento de Análisis Económico Aplicado) I. Mauleón Torres () (Universidad Rey Juan Carlos I. Departamento de Economía)
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This paper investigates inference methods to introduce prior information in econometric modelling. The set up includes the nonlinear least squares and indirect inference estimators. The goal is to show that stochastic restrictions method estimates can be asymptotically more efficient than estimates ignoring prior information and can achieve efficiency of the restricted estimate if prior information grows faster than the sample information in the asymptotics. Finally, the proposed approach is applied to a macroeconomics model where high efficiency gains are shown.
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Den Haan, Wouter J & Marcet, Albert, 1994.
"Accuracy in Simulations,"
Review of Economic Studies,
Blackwell Publishing, vol. 61(1), pages 3-17, January.
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Gourieroux, C & Monfort, A & Renault, E, 1993.
"Indirect Inference,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 8(S), pages S85-118, Suppl. De.
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Other versions:
Gourieroux, C. & Monfort, A. & Renault, E., 1992.
"Indirect Inference,"
Papers
92.279, Toulouse - GREMAQ.
Gourieroux, C. & Monfort, A & Renault, E., 1992.
"Indirect Inference,"
Papers
9215, Institut National de la Statistique et des Etudes Economiques-.