Tauchmann H (2005)
Publication Language: English
Publication Type: Journal article
Publication year: 2005
Publisher: Taylor & Francis (Routledge)
Book Volume: 37
Pages Range: 367-374
Journal Issue: 4
DOI: 10.1080/0003684042000306987
This study analyses a parametric estimator for a system of equations with limited dependent variables that was recently proposed. Its performance is compared with those of alternative estimation procedures using Monte Carlo methods. The comparison shows that this new estimator is less efficient for a wide range of parameter regions than multivariate generalizations of the classical Heckman model. This result can be explained by its variance depending on the squared conditional mean of the dependent variables. Additionally, it turns out that within the class of generalized Heckman estimators, rather simple ones display the best performance. © 2005 Taylor & Francis Group Ltd.
APA:
Tauchmann, H. (2005). Efficiency of two-step Estimators for Censored Systems of Equations: Shonkwiler and Yen reconsidered. Applied economics, 37(4), 367-374. https://dx.doi.org/10.1080/0003684042000306987
MLA:
Tauchmann, Harald. "Efficiency of two-step Estimators for Censored Systems of Equations: Shonkwiler and Yen reconsidered." Applied economics 37.4 (2005): 367-374.
BibTeX: Download