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Firm Size, Technical Change, and Wages in the Pork Sector, 1990-2005

Author

Listed:
  • Yu, Li
  • Hurley, Terrance M.
  • Kliebenstein, James
  • Orazem, Peter F.
Abstract
This study investigates worker shares of the returns to scale and returns to technology adoption on U.S. hog farms. The wage analysis controls for a matching process by which workers are linked to farms of different sizes and technology uses. Using four surveys of employees on hog farms collected in 1990, 1995, 2000, and 2005, we find persistent large wage premiums are paid to workers on larger farms and on technologically advanced farms that remain large and statistically significant even after controlling for differences in observable worker attributes and in the observed sorting process of workers across farms

Suggested Citation

  • Yu, Li & Hurley, Terrance M. & Kliebenstein, James & Orazem, Peter F., 2012. "Firm Size, Technical Change, and Wages in the Pork Sector, 1990-2005," ISU General Staff Papers 201208010700001291, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:201208010700001291
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    References listed on IDEAS

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    1. repec:bla:econom:v:62:y:1995:i:245:p:89-107 is not listed on IDEAS
    2. 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.
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    9. McBride, William D. & Key, Nigel D., 2003. "Economic And Structural Relationships In U.S. Hog Production," Agricultural Economic Reports 33971, United States Department of Agriculture, Economic Research Service.
    10. 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.
    11. 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.
    12. 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.
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    14. 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.
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    Cited by:

    1. McBride, William D. & Key, Nigel, 2013. "U.S. Hog Production From 1992 to 2009: Technology, Restructuring, and Productivity Growth," Economic Research Report 262217, United States Department of Agriculture, Economic Research Service.
    2. William E. Even & David A. Macpherson, 2012. "Is Bigger Still Better? The Decline of the Wage Premium at Large Firms," Southern Economic Journal, John Wiley & Sons, vol. 78(4), pages 1181-1201, April.
    3. Turkcan, Hulya & Imamoglu, Salih Zeki & Ince, Huseyin, 2022. "To be more innovative and more competitive in dynamic environments: The role of additive manufacturing," International Journal of Production Economics, Elsevier, vol. 246(C).
    4. Carrillo, Mario Renato, 2016. "Characteristics of hog producers and how those characteristics affect the rate of adoption of technologies used in the hog industry: Evidence from hog producers in the United States," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236196, Agricultural and Applied Economics Association.

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    JEL classification:

    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General

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