ESTIMASI REGRESI LOGISTIK DATA PANEL RESPON BINERDENGAN EFEK TETAP

• المؤلفون الرئيسيون: , Umi Yuliatin, , Prof. Dr.rer.nat. Dedi Rosadi, S.Si., M.Sc.
• التنسيق: Theses and Dissertations NonPeerReviewed
• منشور في: [Yogyakarta] : Universitas Gadjah Mada 2014
• الموضوعات: ETD
• الوصول للمادة أونلاين: 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

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 14th�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.