Open Unemployment Rate Modeling In Indonesia Using Spatial Bayes Regression Analysis

Authors

  • Ni Kadek Lia Cahyani Pramesti Udayana University, Bali, Indonesia
  • Ni Luh Putu Suciptawati Udayana University, Bali, Indonesia
  • I Wayan Sumarjaya Udayana University, Bali, Indonesia

DOI:

https://doi.org/10.38035/dijemss.v5i5.2752

Keywords:

Open unemployment rate, Bayesian, Spatial Autoregressive

Abstract

Unemployment is defined as people over the age of 15 who are looking for or do not have a job. The imbalance between the number of jobs and the number of labor force leads to the potential for spatial labor mobility between villages and cities. Therefore, data on the open unemployment rate (TPT) in Indonesia may have spatial effects. The spatial regression analysis method is a commonly used method to estimate the parameters of spatial econometrics models. However, this method is not good enough to estimate the model parameters when there are many spatial units. To overcome this problem, an alternative Bayesian method can be used. This study uses the Bayesian method approach to the Spatial Autoregressive (SAR) model applied to modeling the open unemployment rate in Indonesia in 2022. The data used is secondary data obtained from the Indonesian Central Bureau of Statistics (BPS) in 2022. The results that have been obtained show that the variable labor force participation rate is significant to the open unemployment rate in Indonesia with an acceptance rate of 0.55.

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Published

2024-07-11

How to Cite

Pramesti, N. K. L. C., Suciptawati, N. L. P., & Sumarjaya, I. W. . (2024). Open Unemployment Rate Modeling In Indonesia Using Spatial Bayes Regression Analysis. Dinasti International Journal of Education Management And Social Science, 5(5), 1444–1454. https://doi.org/10.38035/dijemss.v5i5.2752

Issue

Vol. 5 No. 5 (2024): Dinasti International Journal of Education Management and Social Science (June - July 2024)

Section

Articles

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Copyright (c) 2024 Ni Kadek Lia Cahyani Pramesti, Ni Luh Putu Suciptawati, I Wayan Sumarjaya

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