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All Journal Anggaran: Jurnal Publikasi Ekonomi dan Akuntansi Jurnal Ekonomi dan Pembangunan Indonesia
Clinton Sinaga
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Peran Sektor Keuangan Perbankan Dalam Mengatasi Kemiskinan Di Indonesia Clinton Sinaga; Berdin Rumahhorbo; Angry Sitanggang
Anggaran : Jurnal Publikasi Ekonomi dan Akuntansi Vol. 2 No. 1 (2024): Maret : Anggaran : Jurnal Publikasi Ekonomi dan Akuntansi
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/anggaran.v2i1.286

Abstract

This study aims to analyze the role of the financial sector in poverty alleviation in Indonesia using annual data for the period 1980-2014. The ARDL cointegration approach is used to show the existence of a long-run trade-off between the financial sector and poverty alleviation. In addition, the Granger causality VECM method is also used to detect the direction of the causal relationship between the financial sector and poverty. In addition, to measure the time horizon and relative intensity of poverty in response to shocks experienced by the financial sector, impulse response functions (IRF) and variance decomposition (VDC) are used. Private sector money supply and domestic credit ratio are used as indicators of financial sector development, while poverty is measured by household consumption expenditure per capita and economic growth is measured by gross domestic product (GDP) per capita. The results show that there is a long-run relationship between the financial sector, economic growth and poverty alleviation in Indonesia. Furthermore, the results show that there is a two-way causal relationship between the financial sector and poverty. The contribution of money supply and private credit ratio to poverty shocks is positive. Therefore, to accelerate poverty alleviation, the government can adopt a policy that requires commercial banks to provide convenient lending conditions for the poor and the private sector.
Aplikasi Dan Analisis Statistik Menggunakan Stata Untuk Tsls, Probit, Logit, Dan Tobit Rahulsep lukas tampubolon; Dani Dani; Yomelin andini; Lala Lala; Mutiara Mutiara; Clinton sinaga; Robin silalahi; Dicky Perwira Ompusunggu
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 2 No. 1 (2024): Februari : Jurnal Ekonomi dan Pembangunan Indonesia
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jepi.v2i1.281

Abstract

This module discusses the application and statistical analysis using Stata software for Two Stage Least Square (TSLS), Probit, Logit and Tobit models. These models are very useful for overcoming problems of endogeneity, censored data, and binary dependent variables in econometric analysis. This paper aims to provide practical guidance for estimating and interpreting the results of the four models using hypothetical case studies. The demonstration results are discussed critically to provide guidance for readers in applying these models to quantitative research.
Co-Authors Angry Sitanggang Berdin Rumahhorbo Dani Dani Dicky Perwira Ompusunggu Lala Lala Mutiara Mutiara Rahulsep Lukas Tampubolon Robin silalahi Yomelin Andini