Spatial autoregressive quantile regression as a tool for modelling human development index factors in 2020 East Java

Tribhuwaneswari, Annisa Budhiyani; Hapsery, Alfisyahrina; Rahayu, Widya Kharisma

doi:10.1063/5.0112828

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Moran's index measures the relationship of observations between an area and other areas close to each other. Moran's index is defined as follows (Tribhuwaneswari et al, 2022) :…”

Section: Spatial Effectsmentioning

confidence: 99%

Spatial Autoregressive Quantile Regression with Application on Open Unemployment Data

Yanuar

Abrari

et al. 2023

Sci. Technol. Indones

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The Open Unemployment Level (OUL) is the percentage of the unemployed to the total labor force. One of the provinces with the highest OUL score in Indonesia is West Java Province. If an object of observation is affected by spatial effects, namely spatial dependence and spatial diversity, then the regression model used is the Spatial Autoregressive (SAR) model. Quantile regression minimizes absolute weighted residuals that are not symmetrical. It is perfect for use on data distribution that is not normally distributed, dense at the ends of the data distribution, or there are outliers. The Spatial Autoregressive Quantile Regression (SARQR) is a model that combines spatial autoregressive models with quantile regression. This research used the data regarding OUR in West Java in 2020 from the Central Bureau of Statistics. This study develops to modeling the Open Unemployment Level in all province in Indonesia using modified spatial autoregressive model with the quantile regression approach. This study compares the estimation results based on SAR and SARQR models to obtain an acceptable model. In this study, it was found that the SARQR model is better than SAR at dealing with the problems of dependency and diversity in spatial data modeling and is not easily affected by the presence of outlier data.

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“…Moran's index measures the relationship of observations between an area and other areas close to each other. Moran's index is defined as follows (Tribhuwaneswari et al, 2022) :…”

Section: Spatial Effectsmentioning

confidence: 99%

Spatial Autoregressive Quantile Regression with Application on Open Unemployment Data

Yanuar

Abrari

et al. 2023

Sci. Technol. Indones

View full text Add to dashboard Cite

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Perbandingan Sar Dan Sarqr Pada Pemodelan Indeks Pembangungan Manusia Di Jawa Tengah Tahun 2022

Hapsery,

Hermanto,

Aprilia

2024

J.Gauss

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The Human Development Index (HDI) is one of the indicators created to measure the success of human quality of life. Central Java is one of the provinces that has experienced a significant increase in HDI in recent years. However, the rankings of its regencies/cities have not shown significant changes. This study aims to model the HDI in Central Java based on the factors that influence it. The data used for modeling the HDI are secondary data obtained from the Central Statistics Agency (BPS) of Central Java, encompassing 35 regencies/cities in Central Java. The analysis in this study employs spatial analysis, specifically Spatial Autoregressive (SAR). Given the potential spatial effects at certain quantiles of the independent variables, the appropriate analysis is Spatial Autoregressive Quantile Regression (SARQR), which combines the SAR method with quantile regression. The best model from the study results is the SAR model, with factors influencing the HDI in Central Java including Population Percentage, Labor Force Participation Rate, Crime Rate, and Average Non-Food Expenditure. The cities of Semarang, Salatiga, and Surakarta have the highest HDI values at each quantile, ranging from the 0.10 quantile to the 0.90 quantile.

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Spatial autoregressive quantile regression as a tool for modelling human development index factors in 2020 East Java

Cited by 2 publications

References 6 publications

Spatial Autoregressive Quantile Regression with Application on Open Unemployment Data

Spatial Autoregressive Quantile Regression with Application on Open Unemployment Data

Perbandingan Sar Dan Sarqr Pada Pemodelan Indeks Pembangungan Manusia Di Jawa Tengah Tahun 2022

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