The Construction of Unemployment Rate Model Using SAR, Quantile Regression, and SARQR Model

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-09-03 DOI:10.18187/pjsor.v19i3.4241

F. Yanuar, Tasya Abrari, I. Hg

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引用次数: 0

Abstract

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 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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利用SAR、分位数回归和SARQR模型构建失业率模型

公开失业水平(OUL)是失业人口占总劳动力的百分比。印尼OUL得分最高的省份之一是西爪哇省。如果观测对象受空间效应(即空间依赖性和空间多样性)的影响，则采用空间自回归(spatial Autoregressive, SAR)模型。分位数回归使不对称的绝对加权残差最小化。它非常适合用于非正态分布的数据分布，数据分布的末端密集或有异常值的数据分布。空间自回归分位数回归(SARQR)是空间自回归模型与分位数回归相结合的模型。本研究使用了中央统计局关于西爪哇2020年OUR的数据。本研究比较了基于SAR和SARQR模型的估计结果，以获得一个可接受的模型。本研究发现，SARQR模型在处理空间数据建模中的依赖性和多样性问题上优于SAR模型，且不容易受到离群数据存在的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.