明古鲁省经济增长率的面板数据回归分析

IF 1.1 Q3 STATISTICS & PROBABILITY Japanese Journal of Statistics and Data Science Pub Date : 2023-06-06 DOI:10.33369/jsds.v2i1.27258
Filo Supianti
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引用次数: 0

摘要

面板数据是时间序列数据和横截面数据的组合。面板数据的分析方法是面板数据回归。使用面板数据回归分析的优点之一衡量某一经济领域某一年的商品和服务生产与前一年的价值的发展的指标之一是经济增长,该指标是根据按不变价格计算的国内生产总值/国内生产总值计算的。本研究的因变量为GRDP的增长率。本研究的自变量为IPM、TPAK、TPT。本研究采用共同效应模型(Common Effect Model, CEM)、固定效应模型(Fixed Effect Model, FEM)和随机效应模型(Random Effect Model, REM)的面板数据回归分析。本研究中的数据处理使用了R Studio应用程序。
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Panel Data Regression Analysis for Economic Growth Rate In Bengkulu Province
Panel data is a combination of time series data and cross section data. The analytical method used for panel data is panel data regression. One of the advantages of analysis using panel data regress One of the indicators to measure the development of the production of goods and services in an economic area in a given year against the value of the previous year which is calculated based on GDP/GRDP at constant prices is Economic Growth. The dependent variable in this study is the growth rate of GRDP. The independent variable in this study is IPM, TPAK, TPT. This study uses panel data regression analysis with the Common Effect Model (CEM), Fixed Effect Model (FEM) and Random Effect Model (REM). The data processing in this study uses the R Studio application.
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来源期刊
CiteScore
2.00
自引率
15.40%
发文量
42
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