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Using Employee Level Data in a Firm Level Econometric Study

  • Jacques Mairesse
  • Nathalie Greenan

In this paper, we make the general point that econometric studies of the firm can be effectively and substantially enriched by using information collected from employees, even if only a few of them are surveyed per firm. Though variables measured on the basis of the answers of very few employees per firm are subject to very important sampling errors, they can be usefully included in a model specified at the firm level. In the first part of the paper, we show that in estimating parameters of interest in a regression model of the firm, the biases arising from the sampling errors in the employee based variables can be assessed, as long as we have a large enough sub-sample of firms with at least two or with more (randomly chosen) surveyed employees. As an illustration in the second part of the paper, we consider the estimation of the relationship between the firm average wage (directly obtained from the firm accounts) and estimates of the proportion of female workers based on the gender of one, two or three surveyed employees per firm. As a test, we compare the estimates that we find in this way with those using the employees), which we could also directly obtain at the firm level from a firm survey. The analysis is performed on two linked employer-employee samples of about 2500 firms in the French manufacturing and services industries in 1987 and 1993, with one, two or three surveyed employees per firm (for respectively 75%, 15% and 10% of the firms).

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File URL: http://www.nber.org/papers/w7028.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 7028.

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Date of creation: Mar 1999
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Publication status: published as Haltiwanger, John C. (ed.) The creation and analysis of employer-employee matched data, Contributions to Economic Analysis, vol. 241. Amsterdam; New York and Oxford: Elsevier Science, North-Holland, 1999.
Handle: RePEc:nbr:nberwo:7028
Note: PR
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  1. Nathalie Greenan & Jacques Mairesse, 1996. "Computers and Productivity in France: Some Evidence," NBER Working Papers 5836, National Bureau of Economic Research, Inc.
  2. David Card & Thomas Lemieux, 1993. "Wage Dispersion, Returns to Skill, and Black-White Wage Differentials," NBER Working Papers 4365, National Bureau of Economic Research, Inc.
  3. Haegeland, T. & Klette, T.J., 1998. "Do Higher Wages Reflect Higher Productivity? Education, Gender and Experience Premiums in a Matched Plant-Worker Data Set," Memorandum 24/1998, Oslo University, Department of Economics.
  4. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
  5. Z, Griliches & Jacques Mairesse, 1997. "Production Functions : The Search for Identification," Working Papers 97-30, Centre de Recherche en Economie et Statistique.
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