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Indirect inference under stochastic restrictions

Authors: Hernández Sánchez, José Antonio; Mauleón Torres, Ignacio;

Indirect inference under stochastic restrictions

Abstract

This paper is focused on the stochastic restriction approach, the NLS and the indirect inference estimators. A methodology to combine sample and prior information is suggested when the indirect inference estimation method is in use. This goal is achieved through stochastic restrictions approach. The resulting estimator is proved to be more efficient than the indirect inference estimator under specific assumptions about the behaviour of the stochastic restriction. As an illustration of the proposed methodology, the capital stock of an economy is estimated through the estimation of its stochastic rate of the depreciation.

Keywords

Indirect inference, Parameter sequence, Asymptotic distribution, Capital stock, Método Monte Carlo, Stochastic restrictions, Análisis estocástico, Estadística, Prior information, Economía

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green