Pemodelan Pertumbuhan Ekonomi Provinsi Sulawesi Selatan dengan Menggunakan Regresi Data Panel
(1) Program Studi Statistika FMIPA UNM
(2) Program Studi Statistika FMIPA UNM
(3) Program Studi Statistika FMIPA UNM
(*) Corresponding Author
DOI: https://doi.org/10.35580/variansiunm14637
Abstract
Abstract. Economic growth is a process for change the economic condition a country or regional by continuously for the better condition as long as definite period. Economic growth in South Sulawesi for 2013-2016 have up and down because many factors have influence it. Like jobless, human capital index, regional revenue, expenditure, and total population. This research was conducted to determine the factors that influence economic growth in South Sulawesi by using data panel regression methods. Panel data regression is a regression by using panel data. Panel data is a statistics analysis method that combines between time series data and cross section data. The result indicates that the result if the regression analysis on the =5% show that the best panel data regression model is random effect model and human capital index variable have significant effect on economic growth with probability value about 0,0227. Meanwhile, jobless, regional revenue, expenditure, and total population no significant.
Keywords: Panel Data Regression, Economic Growth, Common Effect Model, Fixed Effcet Model, Random Effect Model
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Copyright (c) 2020 Misriani Suardin, Muhammad Nadjib Bustan, Ansari Saleh Ahmar
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VARIANSI: Journal of Statistics and Its Application on Teaching and Research is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)