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An Econometric Model of Employment in Zimbabwe's Manufacturing Industries

Author

Listed:
  • Heshmati, Almas

    (Dept. of Economic Statistics, Stockholm School of Economics)

  • Ncube, Mkhululi

    (Dept. of Economics, Göteborg University)

Abstract

This paper is concerned with the estimation of an employment relationship and employment efficiency under production risk using a panel of Zimbabwe's manufacturing industries. A flexible labour demand functions are used and consist 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. It appears in a multiplicative form with the demand function and it accommodates both positive and negative marginal effects with respect to the determinants of the variance. A multi-step procedure is used to estimate the parameters of the model. Estimation of industry and time-varying employment efficiency is also considered. Employment efficiency is defined in terms of the distance from the employment frontier defined as minimum employment required to produce a given level of output. The empirical results show that the average employment efficiency is 92%.

Suggested Citation

  • Heshmati, Almas & Ncube, Mkhululi, 1998. "An Econometric Model of Employment in Zimbabwe's Manufacturing Industries," SSE/EFI Working Paper Series in Economics and Finance 277, Stockholm School of Economics, revised 15 Aug 2003.
    • Handle: RePEc:hhs:hastef:0277
    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.
    2. 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.
    3. 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.
    4. Robert S. Pindyck & Julio J. Rotemberg, 1982. "Dynamic Factor Demands Under Rational Expectations," NBER Working Papers 1015, National Bureau of Economic Research, Inc.
    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. repec:bla:scandj:v:85:y:1983:i:2:p:223-38 is not listed on IDEAS
    8. repec:bla:econom:v:53:y:1986:i:210(s):p:s121-69 is not listed on IDEAS
    9. 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.
    10. Subal Kumbhakar, 1997. "Efficiency estimation with heteroscedasticity in a panel data model," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 379-386.
    11. Boozer, Michael A., 1997. "Econometric Analysis of Panel DataBadi H. Baltagi Wiley, 1995," Econometric Theory, Cambridge University Press, vol. 13(5), pages 747-754, October.
    12. 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.
    13. repec:bla:econom:v:52:y:1985:i:205:p:37-49 is not listed on IDEAS
    14. 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)

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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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