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Long-Term Industrial Labor Demand Forecast for Hungary

Author

Listed:
  • John Sutherland Earle

    (George Mason University, Central European University)

  • Almos Telegdy

    (Institute of Economics of the Hungarian Academy of Sciences)

Abstract

This study forecasts the Hungarian labor demand for 10 broad economic sectors for 2020. Using aggregate data for the period of 1992-2010 and a structural macroeconomic model, we find that the relative importance of agriculture and industry is likely to fall in total employment while the share of construction, trade and financial intermediation will increase.

Suggested Citation

  • John Sutherland Earle & Almos Telegdy, 2011. "Long-Term Industrial Labor Demand Forecast for Hungary," Budapest Working Papers on the Labour Market 1110, Institute of Economics, Centre for Economic and Regional Studies.
    • Handle: RePEc:has:bworkp:1110
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    File URL: http://www.econ.core.hu/file/download/bwp/bwp1110.pdf
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    More about this item

    Keywords

    labor demand; forecasting; Hungary;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • 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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