NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

Estimating the Determinants of Employee Performance

Charles Brown

NBER Working Paper No. 353 (Also Reprint No. r0299)
Issued in August 1982
NBER Program(s):   LS

Employers often wish to know whether the factors used in selecting employees do in fact allow them to choose the most qualified applicants. Because the performance of those not chosen is not observed, sample-selection bias is a likely problem in any attempt to "validate" employee-selection criteria. With minor modifications, the recently-developed techniques for dealing with sample-selection problems can be used in this context. Using data on applicants for first-line supervisory positions and ratings of on-the-job performance of those hired, ordinary least squares estimates of the determinants of performance are compared with maximum-likelihood estimates which correct for selection bias. The correction for selection bias produces some appreciable improvements in some variables' coefficients, though the corrected estimates remain "insignificant" at conventional levels. Differences in the firm's stated and actual hiring criteria are also noted.

download in pdf format
   (215 K)

email paper

This paper is available as PDF (215 K) or via email.

Machine-readable bibliographic record - MARC, RIS, BibTeX

Published: Brown, Charles. "Estimating the Determinants of Employee Performance." Journal of Human Resources, Vol. XVII, No. 2 (Spring 1982), pp. 178-194.

Users who downloaded this paper also downloaded these:
Holzer w2782 The Determinants of Employee Productivity and Earnings: Some New Evidence
Holzer w2830 Wages, Employer Costs, and Employee Performance in the Firm
Griliches Notes on the Role of Education in Production Functions and Growth Accounting
Green, Jegadeesh, and Tang w12897 Gender and Job Performance: Evidence from Wall Street
 
Publications
Activities
Meetings
Data
People
About

Support
National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email: info@nber.org

Contact Us