ESTIMASI REGRESI LOGISTIK DATA PANEL RESPON BINERDENGAN EFEK TETAP

This thesis contains of logistic regression estimation techniques for a binary respond variables on panel data analysis (small T) with individual and time fixed effects. When N ! 1 , Maximum Likelihood Estimate (MLE) gives inconsistent estimator for since the presence of individual effect known as...

全面介紹

Saved in:
書目詳細資料
Main Authors: , Umi Yuliatin, , Prof. Dr.rer.nat. Dedi Rosadi, S.Si., M.Sc.
格式: Theses and Dissertations NonPeerReviewed
出版: [Yogyakarta] : Universitas Gadjah Mada 2014
主題:
ETD
在線閱讀:https://repository.ugm.ac.id/133423/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74086
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Universitas Gadjah Mada
實物特徵
總結:This thesis contains of logistic regression estimation techniques for a binary respond variables on panel data analysis (small T) with individual and time fixed effects. When N ! 1 , Maximum Likelihood Estimate (MLE) gives inconsistent estimator for since the presence of individual effect known as nuisance parameter. The Elimination of this nuisance parameter is eliminated to form the conditional probability given the sufficient statistic. Conditional Maximum Likelihood Estimate (Conditional MLE) containing the conditional probability gives consistent estimator for and an appropriate asymptotic covariance matrix. The data used for case studies is NLSY (National Longitudinal Survey of Youth) between 1979-1984. Binary response variable to consider is categorized of poor and non-poor married women 14thô���17th years old in America. The data analysis gives a good logistic panel model with individual and time fixed effects that influenced by several independent variables using Conditional MLE.