Labor Demand Forecasting: The Case of Cambodia

Sereyvuth Ky

Bulletin of Applied Economics, 2023, vol. 10, issue 2, 89-105

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.

Keywords: Labor demand; Employment forecasting; ARIMA; Top-down forecasting. (search for similar items in EconPapers)
JEL-codes: C82 J21 J23 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.riskmarket.co.uk/bae/journals-articles ... nload=attachment.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rmk:rmkbae:v:10:y:2023:i:2:p:89-105

Access Statistics for this article

Bulletin of Applied Economics is currently edited by Eleftherios Spyromitros

More articles in Bulletin of Applied Economics from Risk Market Journals
Bibliographic data for series maintained by Eleftherios Spyromitros-Xioufis ().