Robust Spatial Regression Model on Original Local Government Revenue in Java 2017

Mastuti, Winda Chairani; Djuraidah, Anik; Erfiani, Erfiani

doi:10.29244/ijsa.v4i1.573

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…There exist outliers for some outliers in the data. Here we have tried to accommodate outliers by building spatial panel model (Cerioli & Riani, 1999;Jin et al, 2015;Mastuti et al, 2019). However, we have run spatial panel regression eliminating some of the outliers.…”

Section: Econometric Analysis: Using Spatial Panel Data Regression Mo...mentioning

confidence: 99%

Determinants of Crime Against Women in India: A Spatial Panel Data Regression Analysis

2021

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Gender discrimination has been an important socio-economic and cultural issue in Indian backdrop; though India is one of the fastest-growing nations in the world but she has ranked 108th (out of 144 countries) in 2016 on the global gender gap index. In order to explore the determinants of crimes (such as dowry death, rape, molestation and torture) in India, we consider 24 states and five time points (over 1995–2015). Rank correlation over time clearly suggests that states exhibiting higher incidence of molestation experience higher incidence of rape; we get similar results in case of torture and dowry death as well. We employ both global and local Moran’s indices for dowry death, which has the least reporting bias, and observe that space as well as neighbourhood effect does matter; on the contrary, we find that other types of crimes vary randomly. Specifically, spatial panel regression results on dowry death clearly show that space along with neighbourhood effect does matter towards variations of dowry death; only two variables namely female work force participation and police station significantly reduce the incidence of dowry death.

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Section: Econometric Analysis: Using Spatial Panel Data Regression Mo...mentioning

confidence: 99%

Determinants of Crime Against Women in India: A Spatial Panel Data Regression Analysis

2021

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“…If the spatial data contains outliers, it will be analyzed using robust spatial regression. In many contexts, the Robust Spatial Error Model (RSEM) has been identified and applied to the Human Development Index (HDI) data in East Java [9], robust spatial regression has also been applied to model Life Expectation (LE) with Robust Spatial Autoregressive (RSAR) [10], and compare the SAR and RSAR model to the Original Local Government Revenue OLGR) data [11], looking for the best model between Robust Spatial Cross Regressive (RSCR), RSAR, and Robust Spatial Durbin Model (RSDM) with M-estimator from life expectancy data [12], The purpose of this study is This study aims to compare the RSEM and RSAR models with Method of Moment (MM) estimator the City Minimum Wage (CMW) data in East Java. Robust spatial regression modeling can be formed using the R software.…”

Section: Introductionmentioning

confidence: 99%

Robust Spatial Regression Model in City Minimum Wages (CMW) in East Java 2018

Atikah¹,

Afifah²,

Kholifia³

2021

Advances in Social Science, Education and Humanities Research

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The minimum wage determination has always been a moment that is eagerly awaited every year by both workers and employers, even though it always creates polemics. The government seeks to raise the minimum wage every year to guarantee a decent life for workers. The fulfillment of the need for a decent living is different in each region so that it will affect the minimum wage in that area. If the minimum wage applies to city/regency areas, it is called the city minimum wage (CMW). The size of the CMW varies widely and even raises an extensive range so that outliers appear. Many factors influence the minimum wage, including Decent Living Needs (KHL), Consumer Price Index (CPI), Gross Regional Domestic Product (GRDP), labor force participation rate, per capita income, number of job seekers, number of the labor force, expenditure per capita, economic growth, and level of productivity. Modeling with regression analysis can be used to get the best model and the factors that affect CMW. Because the size of the CMW in each region is different, and there are outliers, a robust spatial regression analysis is used. This research will compare the results of the analysis of robust SAR and robust SEM using the method of moment estimation in modeling the variables that affect the city minimum wage (CMW). From the analysis, the best model is obtained from the robust SEM model, which has a smaller AIC value than the AIC value of the robust SAR model.

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Robust Spatial Regression Model on Original Local Government Revenue in Java 2017

Cited by 2 publications

References 10 publications

Determinants of Crime Against Women in India: A Spatial Panel Data Regression Analysis

Determinants of Crime Against Women in India: A Spatial Panel Data Regression Analysis

Robust Spatial Regression Model in City Minimum Wages (CMW) in East Java 2018

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