Monte Carlo Simulation for Modified Parametric Of Sample Selection Models Through Fuzzy Approach

The sample selection model is a combination of the regression and probit models. The models are usually estimated by Heckman's two-step estimator. However, Heckman's two-step estimator often performs poorly. In the context of the parametric method, Monte Carlo simulations are studied. The...

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Veröffentlicht in:	IOP conference series. Materials Science and Engineering 2018-11, Vol.453 (1), p.12008
1. Verfasser:	Triana, Y S
Format:	Artikel
Sprache:	eng
Schlagworte:	Estimates Fuzzy Fuzzy sets Fuzzy systems Heckman's Iterative methods Model accuracy Monte Carlo Monte Carlo simulation Parameter estimation Root-mean-square errors Sample selection model Simulation
Online-Zugang:	Volltext
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