Firm Size, Technical Change And Wages In The Pork Sector, 1990 -2005
Economists have long puzzled over the fact that large firms pay higher wages than small firms, even after controlling for worker's observed productive characteristics. One possible explanation has been that firm size is correlated with unobserved productive attributes which confound firm size with other productive characteristics. This study investigates the size-wage premium in the context of firms competing within a single market for a relatively homogeneous product: hogs. We pay particular attention to the matching process by which workers are linked to farms of different size and technology use, and whether the matching process may explain differences in wages across farms. The study relies on four surveys of employees on hog farms collected in 1990, 1995, 2000, and 2005. We find that there are large wage premia paid to workers on larger farms that persist over time. Although more educated and experienced workers are more likely to work on larger and more technologically advanced hog farms, the positive relationships between wages and both farm size and technology adoption remain large and statistically significant even after controlling for differences in observable worker attributes and in the observed sorting process of workers across farms.
|Date of creation:||18 Apr 2008|
|Date of revision:|
|Publication status:||Published in Journal of Agricultural and Resource Economics, August 2012, vol. 37 no. 2, pp. 263-279|
|Contact details of provider:|| Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070|
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
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- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998.
"Characterizing Selection Bias Using Experimental Data,"
NBER Working Papers
6699, National Bureau of Economic Research, Inc.
- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
- James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
- Hurley, Terrance M. & Kliebenstein, James & Orazem, Peter, 1999.
"The Structure of Wages and Benefits in the U.S. Pork Industry,"
Staff General Research Papers
1475, Iowa State University, Department of Economics.
- James Kliebenstein & Peter F. Orazem, 1999. "The Structure of Wages and Benefits in the U.S. Pork Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 144-163.
- Brown, Charles & Medoff, James, 1989.
"The Employer Size-Wage Effect,"
Journal of Political Economy,
University of Chicago Press, vol. 97(5), pages 1027-59, October.
- Stephanie Lluis, . "Endogenous Choice of Firm Size and the Sturcture of Wages: A Comparison of Canada and the United States," Working Papers 0203, Human Resources and Labor Studies, University of Minnesota (Twin Cities Campus).
- Terrance M. HURLEY & James Kliebenstein & Peter F. ORAZEM, 1996. "Structure Of Wages And Benefits In The U.S. Pork Industry," Staff Papers 283, Iowa State University Department of Economics.
- Dunne, Timothy & Schmitz, James A, Jr, 1995. "Wages, Employment Structure and Employer Size-Wage Premia: Their Relationship to Advanced-Technology Usage at US Manufacturing Establishments," Economica, London School of Economics and Political Science, vol. 62(245), pages 89-107, February.
- Timothy Dunne & Lucia Foster & John Haltiwanger & Kenneth R. Troske, 2004. "Wage and Productivity Dispersion in United States Manufacturing: The Role of Computer Investment," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 397-430, April.
- Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
- Jeffrey Smith & Petra Todd, 2003.
"Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?,"
University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers
20035, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
- A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
- Rajeev H. Dehejia & Sadek Wahba, 1998.
"Propensity Score Matching Methods for Non-experimental Causal Studies,"
NBER Working Papers
6829, National Bureau of Economic Research, Inc.
- Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
- Oi, Walter Y. & Idson, Todd L., 1999. "Firm size and wages," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 33, pages 2165-2214 Elsevier.
- John Haltiwanger & Marilyn E. Manser & Robert Topel, 1998. "Labor Statistics Measurement Issues," NBER Books, National Bureau of Economic Research, Inc, number halt98-1, June.
- McBride, William D. & Key, Nigel D., 2003. "Economic And Structural Relationships In U.S. Hog Production," Agricultural Economics Reports 33971, United States Department of Agriculture, Economic Research Service.
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