Analysing Firm-Level Labour Productivity Using Survey Data
AbstractThis paper investigates the determinants of firm-level labour productivity in the manufacturing sector using GAPS data. These data are from a stratified survey, where the strata are based on industry and firm size. The paper focuses on whether weights should be applied in the regression analysis. Augmented Cobb-Douglas production functions are estimated, where a set of dummies are used as proxies for firm-level knowledge stocks. The regression results show that there are significant differences between the parameters estimated by weighted least squares (WLS) and OLS, particularly for the variables union density and training expenditure. These differences can be caused by parameter heterogeneity (across strata); in theoretical terms this means that applying the same production function across all firms is not appropriate. Given this parameter heterogeneity, both the OLS and WLS methods do not estimate parameters of interest. Instead, there is a requirement to estimate sub-sample regressions. These are presented in the second part of the empirical results.
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Bibliographic InfoPaper provided by Melbourne Institute of Applied Economic and Social Research, The University of Melbourne in its series Melbourne Institute Working Paper Series with number wp2000n10.
Length: 23 pages
Date of creation: Oct 2000
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-02-10 (All new papers)
- NEP-ENT-2002-02-10 (Entrepreneurship)
- NEP-LAB-2002-02-10 (Labour Economics)
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