Almas Heshmati () and Mkhululi Ncube
Additional contact information
Almas Heshmati: Dept. of Economic Statistics, Stockholm School of Economics, Postal: P.O. Box 6501, S-113 83 Stockholm, Sweden
Mkhululi Ncube: Dept. of Economics, Göteborg University, Postal: Box 640, 405 30 Göteborg,
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%.
Keywords: Labour demand; variance; efficiency; manufacturing industries; Zimbabwe
23 pages, First version: November 6, 1998. Revised: August 15, 2003.
Full text files
hastef0277.pdf Full text
Questions (including download problems) about the papers in this series should be directed to Helena Lundin ()
Report other problems with accessing this service to Sune Karlsson ().
RePEc:hhs:hastef:0277This page generated on 2024-09-13 22:15:05.