ISSN: 2056-3736 (Online Version) | 2056-3728 (Print Version)
KY Sereyvuth
Correspondence: KY Sereyvuth, sereyvuth.ky@live.com
Department of Economics and Management, Graduate School of Humanities and Social Sciences, Saitama University, Japan.
pdf (645.67 Kb) | doi: https://doi.org/10.47260/bae/1025
Labor demand forecasting is crucial for Cambodia’s economic prosperity. This is because it enables the country to make well-informed decisions and implement effective policies that align with the changing dynamics of its labor market to promote sustainable economic progress. This study utilizes a demand-driven model; specifically, the autoregressive integrated moving average (ARIMA) model with a top-down approach to forecast Cambodia’s labor demand from 2020 to 2025. By capturing current and future labor market trends, we can identify skill requirements and ensure high employment rates for sustainable development. With labor demand forecasting, Cambodia can proactively address skill gaps, optimize workforce planning, and foster an environment conducive to economic growth and stability.
Labor demand, Employment forecasting, ARIMA, Top-down forecasting.
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