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

نویسندگان

چکیده

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

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ژورنال

عنوان ژورنال: Pakistan Journal of Statistics and Operation Research

سال: 2023

ISSN: ['1816-2711', '2220-5810']

DOI: https://doi.org/10.18187/pjsor.v19i3.4241