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).
2014
Giorgio Calzolari and Antonino Di Pino1
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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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