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An Econometric Model Of Employment In Zimbabwe¡¯S Manufacturing Industries

Author

Listed:
  • Almas Heshmati

    (MTT Economic Research)

  • Mkhululi Ncube

    (Gothenburg University)

Abstract

This paper is concerned with the estimation of employment relationship and employment efficiency under production risk using a panel of Zimbabwe¡¯s manufacturing industries. A flexible labour demand function is used consisting of two parts: the traditional labour demand function and labour demand variance function. Labour demand is a function of wages, output, quasi-fixed inputs and time variables. The variance function is a function of the determinants of labour demand and a number of production and policy characteristic variables. Estimation of industry and time-varying employment efficiency is also considered. The empirical results show that the average employment efficiency is 92%.

Suggested Citation

  • Almas Heshmati & Mkhululi Ncube, 2004. "An Econometric Model Of Employment In Zimbabwe¡¯S Manufacturing Industries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 29(2), pages 107-130, December.
    • Handle: RePEc:jed:journl:v:29:y:2004:i:2:p:107-130
    as

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    References listed on IDEAS

    as
    1. Kumbhakar, Sabul C., 1993. "Production risk, technical efficiency, and panel data," Economics Letters, Elsevier, vol. 41(1), pages 11-16.
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    3. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    4. Kumbhakar, Subal C & Hjalmarsson, Lennart, 1995. "Labour-Use Efficiency in Swedish Social Insurance Offices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(1), pages 33-47, Jan.-Marc.
    5. Diewert, W E, 1974. "Functional Forms for Revenue and Factor Requirements Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 119-130, February.
    6. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    7. Heshmati, Almas, 1994. "Estimating random effects production function models with selectivity bias: an application to Swedish crop producers," Agricultural Economics, Blackwell, vol. 11(2-3), pages 171-189, December.
    8. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    9. repec:bla:econom:v:52:y:1985:i:205:p:37-49 is not listed on IDEAS
    10. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Almas Heshmati & Ilham Haouas, 2011. "Employment Efficiency and Production Risk in the Tunisian Manufacturing Industries," Working Papers 602, Economic Research Forum, revised 07 Jan 2011.

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    More about this item

    Keywords

    Labour demand; Variance; Efficiency; Manufacturing; Industries; Zimbabwe;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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