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Farm Labor Demand: A Meta-Regression Analysis Of Wage Elasticities

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  • Espey, Molly
  • Thilmany, Dawn D.

Abstract

Previous research on farm labor demand is reviewed to empirically explore what has been learned over the past 50 years. Following the example of Hamermesh, studies were differentiated by numerous factors. A meta-regression analysis of estimated demand wage elasticities was conducted to more clearly identify any systematic factors that influence such estimates. Results of the analysis show that the magnitudes of own-price demand elasticities are affected by differences including type and area of labor market, methodology, and the time period covered by the data. Understanding variations due to model specification is important when interpreting current and future agricultural labor and policy research.

Suggested Citation

  • Espey, Molly & Thilmany, Dawn D., 2000. "Farm Labor Demand: A Meta-Regression Analysis Of Wage Elasticities," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(1), pages 1-15, July.
    • Handle: RePEc:ags:jlaare:30824
    DOI: 10.22004/ag.econ.30824
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    References listed on IDEAS

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    1. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. T. D. Stanley & Stephen B. Jarrell, 2005. "Meta‐Regression Analysis: A Quantitative Method of Literature Surveys," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 299-308, July.
    3. Theodore P. Lianos, 1972. "Impact of Minimum Wages Upon the Level and Composition of Agricultural Employment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(3), pages 477-484.
    4. Saxonhouse, Gary R, 1977. "Regressions from Samples Having Different Characteristics," The Review of Economics and Statistics, MIT Press, vol. 59(2), pages 234-237, May.
    5. Duffield, James A., 1990. "Estimating Farm Labor Elasticities To Analyze The Effects Of Immigration Reform," Staff Reports 278270, United States Department of Agriculture, Economic Research Service.
    6. Thomas W. Hertel, 1989. "Negotiating Reductions in Agricultural Support: Implications of Technology and Factor Mobility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 559-573.
    7. Zvi Griliches, 1959. "The Demand for Inputs in Agriculture and a Derived Supply Elasticity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 41(2), pages 309-322.
    8. Stephen B. Jarrell & T. D. Stanley, 1990. "A Meta-Analysis of the Union-Nonunion Wage Gap," ILR Review, Cornell University, ILR School, vol. 44(1), pages 54-67, October.
    9. Martinos, Nikolaos Stephanou, 1973. "A. Econometric models of the labor market in the farm sector of the north central region of the United States, B. The demand for farm labor in the United States," ISU General Staff Papers 197301010800007157, Iowa State University, Department of Economics.
    10. Susan M. Capalbo & Michael Denny, 1985. "Testing Long-Run Productivity Models for the Canadian and U.S. Agricultural Sectors," NBER Working Papers 1764, National Bureau of Economic Research, Inc.
    11. Phillips, Joseph M, 1994. "Farmer Education and Farmer Efficiency: A Meta-Analysis," Economic Development and Cultural Change, University of Chicago Press, vol. 43(1), pages 149-165, October.
    12. David K. Lambert & J.S. Shonkwiler, 1995. "Factor Bias under Stochastic Technical Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 578-590.
    13. J. Edward Taylor & Dawn Thilmany, 1993. "Worker Turnover, Farm Labor Contractors, and IRCA's Impact on the California Farm Labor Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 350-360.
    14. T. D. Wallace & D. M. Hoover, 1966. "Income Effects of Innovation: The Case of Labor in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 48(2), pages 325-336.
    15. Lopez, Ramon E., 1984. "Estimating labor supply and production decisions of self-employed farm producers," European Economic Review, Elsevier, vol. 24(1), pages 61-82.
    16. C. Richard Shumway, 1983. "Supply, Demand, and Technology in a Multiproduct Industry: Texas Field Crops," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(4), pages 748-760.
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