Modelling Minimum Wage in Thailand: Applications Generalized Maximum Entropy Estimators for Panel Data Regression Models
Keywords:
Minimum Wage, Generalized Maximum Entropy Estimators, Panel Data, ThailandAbstract
This study aims to examine factors affecting wage determination at the provincial level in Thailand. Generalized Maximum Entropy estimator (GME) for panel data regression models was employed to analyze by using longitudinal data of 76 provinces over 10 years between 2006 and 2015 on minimum wages and other macroeconomic variables. Results indicate that cost of living and labor productivity have positive impacts on minimum wage rate, but unemployment, inflation, corporate income tax, and economic growth have a negative one. These finding may help to inform policymaker and all stakeholders in Thailand debate the better minimum wage rate adjustment.
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