ANALISIS MODEL REGRESI DATA PANEL DENGAN PENDEKATAN COMMON EFFECT MODEL (CEM), FIXED EFFECT MODEL (FEM), DAN RANDOM EFFECT MODEL (REM) (STUDI KASUS: IPM PROVINSI D.I YOGYAKARTA PADA TAHUN 2020 SAMPAI DENGAN 2023)

Ayu Salsabila Rahmah, NIM.: 17106010006 (2024) ANALISIS MODEL REGRESI DATA PANEL DENGAN PENDEKATAN COMMON EFFECT MODEL (CEM), FIXED EFFECT MODEL (FEM), DAN RANDOM EFFECT MODEL (REM) (STUDI KASUS: IPM PROVINSI D.I YOGYAKARTA PADA TAHUN 2020 SAMPAI DENGAN 2023). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

Preview	Text (ANALISIS MODEL REGRESI DATA PANEL DENGAN PENDEKATAN COMMON EFFECT MODEL (CEM), FIXED EFFECT MODEL (FEM), DAN RANDOM EFFECT MODEL (REM) (STUDI KASUS: IPM PROVINSI D.I YOGYAKARTA PADA TAHUN 2020 SAMPAI DENGAN 2023) (CASE STUDY: HDI OF D.I YOGYAKARTA PR) 17106010006_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf - Published Version Download (3MB) | Preview
	Text (ANALISIS MODEL REGRESI DATA PANEL DENGAN PENDEKATAN COMMON EFFECT MODEL (CEM), FIXED EFFECT MODEL (FEM), DAN RANDOM EFFECT MODEL (REM) (STUDI KASUS: IPM PROVINSI D.I YOGYAKARTA PADA TAHUN 2020 SAMPAI DENGAN 2023) (CASE STUDY: HDI OF D.I YOGYAKARTA PR) 17106010006_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf - Published Version Restricted to Registered users only Download (3MB) | Request a copy

Abstract

Panel data regression analysis is a combination of cross section data with time series data. The Human Development Index (HDI) is an indicator to measure the welfare or success of human development in a region or country. This study aims to determine the steps of panel data modeling using the Common Effect Model (CEM), Fixed Effect Model (FEM), Random Effect Model (REM) approaches and wants to know the best model parameter estimates used and analyze and find out what factors influence the development of HDI in Yogyakarta Province from 2020 to 2023. The objects used in the study are human development index, life expectancy, school expectancy, average years of schooling, and adjusted per capita expenditure. From the results of the study, it was found that the steps of panel data modeling are to collect data on factors that affect the human development index and human development index data. Followed by estimating the model parameters. Then select the best panel data regression model. Followed by statistical criteria test. And finally do the classical assumption test. Based on the test results, it is found that the more suitable panel data regression model is the Fixed Effect Model (FEM) with the following estimation equation model: 1 2 3 4 –28, 24982 – 28, 417871 – 27, 975617 – 26, 904735 – 27,835916 0,839296 1,807620 1,046013 0,000460 it it it it it it it it it it IPM D D D D AHH HLS RLS PPD  = + + + + + with R2 = 99.97%. This means that 99.97% of the variability of the Human Development Index (Y) can be explained by the variables of Life Expectancy (AHH), Expected Years of Schooling (HLS), Average Years of Schooling (RLS), and Adjusted Per Capita Expenditure (PPD). The variables of Expected Years of Schooling (HLS), Average Years of Schooling (RLS), Adjusted Per Capita Expenditure (PPD) have a positive and significant influence on HDI in Yogyakarta while the variable Life Expectancy (AHH) has no effect on HDI in Yogyakarta.

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