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A decomposition approach to labour market forecasting

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  • James Andrew Giesecke
  • Nhi Hoang Tran
  • Gerald Anthony Meagher
  • Felicity Pang

Abstract

Recognising human capital's central role in economic development, many countries in the Asia Pacific region have allocated significant resources to the development of their education sectors. However, despite growing policy concern over acute mismatches between qualification supply and qualification demand, few of these countries have national systems for generating and disseminating employment forecasts. In this paper, we outline a forecasting method that is parsimonious in its data requirements, making it suitable for the often data-constrained research environments of the Asia Pacific's developing economies. We apply the method to Vietnam, a rapidly growing transition economy. The method generates detailed labour market projections, while also making transparent the underlying macroeconomic, structural and policy shocks that determine the forecasts. A decomposition of forecast outcomes in terms of the individual contributions of these shocks facilitates transparency in forecasting, by clearly distinguishing and ranking factors responsible for generating each forecast outcome.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:rjapxx:v:20:y:2015:i:2:p:243-270
    DOI: 10.1080/13547860.2014.964964
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    References listed on IDEAS

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    1. Peter B. Dixon & Martin Johnson & Maureen T. Rimmer, 2008. "Reducing Illegal Migrants in the U.S.: A Dynamic CGE Analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-183, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. World Bank, 2013. "World Development Report 2014 [Informe sobre el desarrollo mundial 2014, Riesgo y oportunidad : la administración del riesgo como instrumento de desarrollo - Panorama general]," World Bank Publications - Books, The World Bank Group, number 16092, December.
    3. 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.
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    Cited by:

    1. Marc Jim M. Mariano & James A. Giesecke, 2016. "Forecasting development outcomes under alternative surplus labour assumptions," Applied Economics, Taylor & Francis Journals, vol. 48(42), pages 4019-4032, September.
    2. Boratyński, Jakub, 2021. "Decomposing structural decomposition: The role of changes in individual industry shares," Energy Economics, Elsevier, vol. 103(C).
    3. Glyn Wittwer & Janine Dixon, 2015. "The Labour Module in a dynamic, regional CGE model," Centre of Policy Studies/IMPACT Centre Working Papers g-257, Victoria University, Centre of Policy Studies/IMPACT Centre.
    4. Janine Dixon, 2016. "Workforce Adaptation to the Cessation of Motor Vehicle Manufacturing in Australia," Economic Papers, The Economic Society of Australia, vol. 35(4), pages 301-315, December.
    5. Janine Dixon, 2017. "Victoria University Employment Forecasts: 2017 edition," Centre of Policy Studies/IMPACT Centre Working Papers g-277, Victoria University, Centre of Policy Studies/IMPACT Centre.
    6. Dixon, Janine, 2015. "A new generation of scientists? The impact of STEM-qualified workers on the Australian economy," Conference papers 332626, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

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