SAR Modelling life expectancy in Sulawesi Island by using spatial autoregressive (SAR)

Authors

  • Rika Yunita Pratiwi a:1:{s:5:"en_US";s:19:"Tadulako University";}
  • Nur’eni Nur’eni Department of Statistic, Faculty of Mathematics and Natural Sciences, Tadulako University, Jalan Raya Soekarno–Hatta, Tondo, Palu, 94117, Central Sulawesi, Indonesia
  • Iman Setiawan Department of Statistic, Faculty of Mathematics and Natural Sciences, Tadulako University, Jalan Raya Soekarno–Hatta, Tondo, Palu, 94117, Central Sulawesi, Indonesia

DOI:

https://doi.org/10.22487/25411969.2021.v10.i1.15459

Abstract

Life expectancy, LE, is the average estimate of the many years a person takes during life.  LE in one region is different from other regions depending on the quality of life that can be achieved by its inhabitants. This research uses the Spatial Autoregressive (SAR) method.  SAR model is a linear regression model where the response variable has a spatial correlation. The information of the SAR model due to the dependence of the value of observation in an area with other regions that are interconnected. The results were obtained from the value of the goodness of the model based on the smallest Akaike Information Criterion (AIC) SAR value is 328.24. The influencing factors that life expectancy are mean years of schooling (X_1), poor people (X_2), and labour force participation rate (X_5) which is obtained from the < 0.05 probability value

Estimation and Testing of SAR Model Parameters

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Published

2021-05-31

Issue

Vol. 10 No. 1 (2021): Volume 10 Number 1 (May 2021)

Section

Articles

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