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  • 标题:A COMPARISON OF LINEAR PROBABILITY,LOGIT AND THE PROBIT MODELS WITH THE ESTIMATION OF LABOR FORCE PARTİCİPATİON MODEL.
  • 本地全文:下载
  • 作者:Emine BİLGİLİ ; Emine BİLGİLİ
  • 期刊名称:Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
  • 印刷版ISSN:1301-3688
  • 电子版ISSN:2630-6409
  • 出版年度:1999
  • 期号:14
  • 页码:129-146
  • 语种:English
  • 出版社:Erciyes University
  • 摘要:EmPrical studies of labor force participation based on individuals as the unit of observation normally utilize a binary dependent variable,coded "one" if the person ParticiPates in the labor force,and "zero" ifthe person does not participate.Researchers use either "linear probability models (LPM with OLS)" or "nonlinear probability models (such as logit,probit and tobit models) in estimation of probabilities of these "0 and l.,,Due to some undesirable statistical properties of LPM's,the use of probit and logit models has become quite common whenever dependent variable in a regression is qualitative.These models have been used intensively in mikoeconometric studie's especialy in labor economics in l990s.The purpose of this paper is to estimate a typical labor force ParticiPation model and compııre OLS,probit and logit estimates of that model.ln conclusion,I will give an explanation of the statistical problems of OLS,logit and probit procedures.
  • 关键词:logit; linear probability; probit
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