A direct Maximum Likelihood (ML) procedure to estimate the “generally unidentified” across-regime correlation parameter in a two-regime endogenous switching model is here provided. The results of a Monte Carlo experiment confirm consistency of our direct ML procedure, and its relative efficiency over widely applied models and methods. As an empirical application, we estimate a Two-Regime simultaneous equation model of domestic work of Italian married women in which the two regimes are given by their working status (employed or unemployed).

Self-Selection and Direct Estimation of Across-Regime Correlation Parameter / Giorgio Calzolari and Antonino Di Pino1. - STAMPA. - (2014), pp. 1-22.

Self-Selection and Direct Estimation of Across-Regime Correlation Parameter

CALZOLARI, GIORGIO;
2014

Abstract

A direct Maximum Likelihood (ML) procedure to estimate the “generally unidentified” across-regime correlation parameter in a two-regime endogenous switching model is here provided. The results of a Monte Carlo experiment confirm consistency of our direct ML procedure, and its relative efficiency over widely applied models and methods. As an empirical application, we estimate a Two-Regime simultaneous equation model of domestic work of Italian married women in which the two regimes are given by their working status (employed or unemployed).
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/850815
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