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

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  • 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%.

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Bibliographic Info

Article provided by Chung-Ang Unviersity, Department of Economics in its journal Journal Of Economic Development.

Volume (Year): 29 (2004)
Issue (Month): 2 (December)
Pages: 107-130

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Handle: RePEc:jed:journl:v:29:y:2004:i:2:p:107-130

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Keywords: Labour demand; Variance; Efficiency; Manufacturing; Industries; Zimbabwe;

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  1. 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 105-11, January.
  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. 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.
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