ESTIMASI PARAMETER REGRESI LOGISTIK DATA PANEL EFEK TETAP UNTUK T=2
Abstract
Logistic regression is a dichotomous classification method that uses several mathematical concepts in the estimating of variables parameters. In the estimation of parameter using the MLE (Maximum Likelihood Estimation) estimation method are obtained by Newton Raphson's numerical method. Unfortunately, this estimation doesn’t work in binary panel data with fixed effects for time T=2 because the present of fixed effec . Thus, Conditional MLE is used to provide consistent estimator of . This estimation shows by sample data N=1.151 obtained while the discussion shows the parameter values are at .
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DOI: https://doi.org/10.15548/mej.v6i2.4569
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Ruang Jurnal Program Studi Tadris Matematika
Fakultas Tarbiyah dan Keguruan
Universitas Islam Negeri Imam Bojol Padang
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