Labour Demand Forecasting in Ben Tre Province - An Application of Bvar Model

Author:

Do Thi Hoa Lien1,Hoang Vo Hang Phuong1

Affiliation:

1. The University of Labor and Social Affairs (Campus Ho Chi Minh)

Abstract

The paper employs BVAR model in labor demand forecasting in Ben Tre province. The data used in the model were collected from 1986 to 2020. Forecast accuracy measured by MAPE and U Theil showed that the BVAR model is appropriate for forecasting labor demand in Ben Tre. In addition, the research findings also show that factors such as exports’ value and capital investment construction and production of manufactured goods have a certain impact on labor demand in Ben Tre while the policy through the GDP deflator is only effective during a period of negative situation such as the Covid-19 pandemic in 2020. Under normal conditions, the price impact does not work for labor demand of the province. Finally, the study provides some policy implications from the findings.

Publisher

Thuongmai University

Reference27 articles.

1. (CCL), C. C. (2007). Is it possible to accurately forecast labour market needs? Ottawa: Ontario: Canadian Council on Learning.

2. Assaf, A. G. (2019). Modeling and forecasting regional tourism demand using the Bayesian global vector autoregressive (BGVAR) model. Journal of Travel Research, 383-397.

3. Borjas, G. J. (2016). Labor Economics. MacGraw-Hill Education.

4. Briscoe, G. &. (1991). Explanations of the demand for labour in the United Kingdom engineering sector. Applied Economics, 913-926.

5. Bruha, J. (2011). An empirical Small labor market model for the Czech economy. finance a Uver: Czech Journal of Economics & Finance.

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