BibTex Citation Data :
@article{J.Gauss8582, author = {Muhammad Rizki and Agus Rusgiyono and Moch. Mukid}, title = {PEMODELAN INDEKS PEMBANGUNAN MANUSIA DI PROVINSI JAWA TENGAN TAHUN 2008-2013 DENGAN MENGGUNAKAN REGRESI DATA PANEL}, journal = {Jurnal Gaussian}, volume = {4}, number = {2}, year = {2015}, keywords = {Fixed Effect Model, panel data regression, HDI in Central Java Province}, abstract = { Human Development Index (HDI) is a way to measure the success of human development based on a number of basic components quality of life. HDI is formed by three basic variables namely health, education and decent living standards. This study aims to identify factors that influence the Human Development Index in Central Java Province and get a model Human Development Index in Central Java province in 2008-2013. The data used in this study is a combination of cross section data and time series data are commonly called panel data, then this HDI modeling using panel data regression. There are three estimation of panel data regression model namely Common Effect Model (CEM), Fixed Effect Model (FEM) and Random Effect Model (REM). Estimation of panel data regression model used is the Fixed Effects Model (FEM). FEM estimation results show the number of health facilities, school participation rate and Labor Force Participation Rate significantly affect the HDI by generating for 93.58%. Keywords : Fixed Effect Model, panel data regression, HDI in Central Java Province }, issn = {2339-2541}, pages = {345--354} doi = {10.14710/j.gauss.4.2.345 - 354}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/8582} }
Refworks Citation Data :
Human Development Index (HDI) is a way to measure the success of human development based on a number of basic components quality of life. HDI is formed by three basic variables namely health, education and decent living standards. This study aims to identify factors that influence the Human Development Index in Central Java Province and get a model Human Development Index in Central Java province in 2008-2013. The data used in this study is a combination of cross section data and time series data are commonly called panel data, then this HDI modeling using panel data regression. There are three estimation of panel data regression model namely Common Effect Model (CEM), Fixed Effect Model (FEM) and Random Effect Model (REM). Estimation of panel data regression model used is the Fixed Effects Model (FEM). FEM estimation results show the number of health facilities, school participation rate and Labor Force Participation Rate significantly affect the HDI by generating for 93.58%.
Keywords : Fixed Effect Model, panel data regression, HDI in Central Java Province
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