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All Journal CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Asian Journal of Innovative Research in Social Science
Siregar, Sri Indriyani
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Religion Humanities Economics, Econometrics & Finance Education Social Sciences

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Utilizing Night-Time Light and Hierarchical Bayesian Small Area Model for Consumption Expenditure Estimation Siregar, Sri Indriyani
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 4 No. 1 (2024): CITIZEN: Jurnal Ilmiah Multidisiplin Indonesia
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v4i1.534

Abstract

As an indicator that plays an important role in determining the level of poverty and inequality, per capita household consumption expenditure needs to be estimated at a smaller area level. The Small Area Estimation (SAE) method is considered as an answer to the challenge of providing this data. The increasing popularity of this method causes the need to utilize good auxiliary variables to increase. Auxiliary data that is real-time and easily accessible such as big data is interesting to involve, especially data that comes from satellite imagery such as night-time light intensity. This data offers benefits such as time and cost efficiencies and being global and easily accessible. This research aims to apply night-time light intensity as an auxiliary variable for the Hierarchical Bayesian (HB) – SAE model to estimate household per capita consumption expenditure in Bandung City. There are three scenarios for using auxiliary variables to employ the HB model: official data on village characteristics, night light intensity, and a combination of these data. The results show that the HB model with official data on village characteristics and night-time light as auxiliary variables can provide the best accuracy with relative root mean square error (RRMSE) as an evaluation.
Review of Gini Ratio on Economic Growth with Human Mobility Mediation during Indonesia's Covid-19 Era Siregar, Sri Indriyani; Al Rasyid, Firda Agil
AJIRSS: Asian Journal of Innovative Research in Social Science Vol. 1 No. 2 (2022): Asian Journal of Innovative Research in Social Science
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.515 KB) | DOI: 10.53866/ajirss.v1i2.88

Abstract

The COVID-19 pandemic has changed people's lives a lot; even the realization of the National Mid-Term Development Plan (RPJMN) has been disrupted. The changes in population mobility patterns have intervened in the efforts to reduce regional inequality to increase economic growth. This study aims to gain new insight into the provincial classification of the Gini ratio and the relationship between economic growth and the Gini ratio, as well as human mobility. In addition, this aims to know whether mobility is proven to mediate the Gini ratio and economic growth relationship using Path Analysis using Robust Regression. As for the data source, this study uses the provincial panel data from the 1st Semester of 2020 to the 2nd Semester of 2021 from Statistics Indonesia and Google Community Mobile Reports. This study shows that the Gini ratio has changed many provinces to a lower classification, indicating that the pandemic affects the upper-middle-class economy. Furthermore, it can be significantly proven that human mobility affects the relationship between income inequality and economic growth (Sobel test p-value = 0.0207). This study can be used as an evaluation material for the government and the stakeholders. Especially to formulate strategies so that the increase of human mobility has an economic goal and in a fit human body condition to restore the economic wheels and not become a time bomb for the COVID-19 transmission in Indonesia.
Co-Authors Al Rasyid, Firda Agil