<mets:mets OBJID="eprint_79710" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2026-11-11T22:23:53Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>Institutional Repository UIN Sunan Kalijaga Yogyakarta</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_79710_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>PEMODELAN PERTUMBUHAN EKONOMI DI INDONESIA DENGAN PERSAMAAN SIMULTAN DATA PANEL STATIS DAN DINAMIS</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">NIM.: 21106010041</mods:namePart><mods:namePart type="family">Cindy Lauren Marentesa</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Economic growth and human development are two main indicators of regional&#13;
development success that influence each other in a complex manner. This study&#13;
aims to examine the simultaneous relationship between economic growth through&#13;
Gross Regional Domestic Product (GRDP) and human development measured by&#13;
the Human Development Index (HDI) in Indonesia. In addition to testing the twoway&#13;
causality, this research focuses on comparing the forecasting accuracy&#13;
between the static panel data simultaneous equation model using the Two-Stage&#13;
Least Squares (2SLS) method and the dynamic panel data simultaneous equation&#13;
model using the 2SLS Generalized Method of Moments Arellano Bond (GMM&#13;
AB) method to determine the best estimation model. The data used covers 33&#13;
provinces in Indonesia, sourced from Statistics Indonesia (BPS). The simultaneity&#13;
test results indicate a significant simultaneous relationship between GRDP and&#13;
HDI. The accuracy calculation is evaluated using the Mean Absolute Percentage&#13;
Error (MAPE) and Mean Squared Error (MSE) indicators. The 2SLS GMM AB&#13;
method shows a MAPE value of 4.83% in the GRDP equation and 40.13% in the&#13;
HDI equation. The testing results demonstrate that the 2SLS GMM Arellano Bond&#13;
method is able to control time dynamic bias more optimally, thereby producing a&#13;
lower error rate and more precise prediction accuracy compared to the 2SLS&#13;
method.</mods:abstract><mods:classification authority="lcc">515.6 Metode Analitik - Matematika</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2026-08-14</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>UIN SUNAN KALIJAGA YOGYAKARTA;FAKULTAS SAINS DAN TEKNOLOGI</mods:publisher></mods:originInfo><mods:genre>Thesis</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_79710"><mets:rightsMD ID="rights_eprint_79710_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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