Muhammad Hidayat, Alfian Futuhul Hadi, Dian Anggraeni
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引用次数: 6

摘要

面板数据是时间序列和横截面数据的组合。使用面板数据回归是因为在有时间的情况下,研究人员不能只使用时间序列数据和横截面数据进行分析。这是因为在分析阶段使用的因素数量太多,如果研究者只使用横截面数据,那么研究者就无法看到在一定时期内不时发生的影响HDI增长的因素的影响。然而,一年与另一年之间的情况很可能会有所不同。在模型估计的基础上,采用了固定效应模型(FEM)方法。2006-2015年期间用FEM模拟HDI, R2值为94.23%。结果表明,2006-2015年,师生比(RST)、卫生设施(HF)、按食品类别划分的人均支出百分比(PPF)和地区人均支出百分比(PPE)对HDI有显著影响。关键词:HDI,面板,固定效应模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALISIS REGRESI DATA PANEL TERHADAP INDEKS PEMBANGUNAN MANUSIA (IPM) JAWA TIMUR TAHUN 2006-2015
Panel data is a combination of time series and cross section data. Panel data regression is used because in a time there is time researchers can’t perform analysis only by using time series data and cross section data only. This is because the number of factors used in the analysis phase, so that if the researcher only uses cross section data then the researcher can’t see the influence of factors that affect as well as on the growth of HDI that occurs from time to time in a certain period. Whereas it is quite possible that the conditions between one year and another will be different. Based on the model estimation, it is used with fixed effect model (FEM) approach. Modeling HDI with FEM in 2006-2015 period resulted in R2 value of 94.23%. The results showed that from 2006-2015 the ratio of student-teacher (RST), health facilities (HF), percentage of expenditure per capita by group of food (PPF) and regional per capita expenditure (PPE) have significant effect to HDI. Keywords: HDI, Panel, Fixed Effect Model
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