An Econometric Model Of Employment In Zimbabwe¡¯S Manufacturing Industries
AbstractThis 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 InfoArticle provided by Chung-Ang Unviersity, Department of Economics in its journal Journal Of Economic Development.
Volume (Year): 29 (2004)
Issue (Month): 2 (December)
Labour demand; Variance; Efficiency; Manufacturing; Industries; Zimbabwe;
Find related papers by 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
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- 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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