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Labor Demand Forecasting: The Case of Cambodia

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  • KY Sereyvuth

Abstract

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.

Suggested Citation

  • KY Sereyvuth, 2023. "Labor Demand Forecasting: The Case of Cambodia," Bulletin of Applied Economics, Risk Market Journals, vol. 10(2), pages 89-105.
    • Handle: RePEc:rmk:rmkbae:v:10:y:2023:i:2:p:89-105
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    References listed on IDEAS

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    1. Cörvers, F. & Dupuy, A., 2006. "Explaining the Occupational Structure of Dutch Sectors of Industry, 1988-2003," ROA Working Paper 007E, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    2. G.A. Meagher & P.D. Adams & J.M. Horridge, 2000. "Applied General Equilibrium Modelling and Labour Market Forecasting," Centre of Policy Studies/IMPACT Centre Working Papers ip-76, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. James Wong & Albert Chan & Y. H. Chiang, 2005. "Time series forecasts of the construction labour market in Hong Kong: the Box-Jenkins approach," Construction Management and Economics, Taylor & Francis Journals, vol. 23(9), pages 979-991.
    4. James Andrew Giesecke & Nhi Hoang Tran & Gerald Anthony Meagher & Felicity Pang, 2015. "A decomposition approach to labour market forecasting," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(2), pages 243-270, April.
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    More about this item

    Keywords

    Labor demand; Employment forecasting; ARIMA; Top-down forecasting.;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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