Paskasius Kletus Aprila Severus
Departemen Ilmu Ekonomi, FEB, Universitas Airlangga Kampus B Unair, Jln. Airlangga No.4 , Surabaya - Indonesia,

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Pengaruh Pendidikan Tinggi, Kepadatan Penduduk, Mortalitas Bayi, dan PDB Per-Kapita Terhadap Tingkat Fertilitas di Indonesia Paskasius Kletus Aprila Severus
Edunomic : Jurnal Ilmiah Pendidikan Ekonomi Fakultas Keguruan dan Ilmu Pendidikan Vol 7 No 2 (2019): EDISI SEPTEMBER
Publisher : FKIP Unswagati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/ejpe.v7i2.2307

Abstract

The goal of this research is to see whether higher education, population density, infant mortality and GDP per capita has impact on fertility in Indonesia or not. This study used estimates of Vector Error Correction Model (VECM) where the estimated VECM simultaneously contained the analysis of changes in the short term, and also long term. The study also includes granger causality test. Then to estimate the large contribution of independent variables in influencing the dependent variable, variance decomposition test was also included. The results showed there were three independent variables that had a significant influence, including the participation of higher education, population density, and GDP per capita in the long run, while the infant mortality rate did not affect the changes in fertility rates.
Pengaruh Pendidikan Tinggi, Kepadatan Penduduk, Mortalitas Bayi, dan PDB Per-Kapita Terhadap Tingkat Fertilitas di Indonesia Paskasius Kletus Aprila Severus
Edunomic : Jurnal Ilmiah Pendidikan Ekonomi Fakultas Keguruan dan Ilmu Pendidikan Vol 7 No 2 (2019): EDISI SEPTEMBER
Publisher : FKIP Unswagati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/ejpe.v7i2.2307

Abstract

The goal of this research is to see whether higher education, population density, infant mortality and GDP per capita has impact on fertility in Indonesia or not. This study used estimates of Vector Error Correction Model (VECM) where the estimated VECM simultaneously contained the analysis of changes in the short term, and also long term. The study also includes granger causality test. Then to estimate the large contribution of independent variables in influencing the dependent variable, variance decomposition test was also included. The results showed there were three independent variables that had a significant influence, including the participation of higher education, population density, and GDP per capita in the long run, while the infant mortality rate did not affect the changes in fertility rates.