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

  • Espey, Molly
  • Thilmany, Dawn D.

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.

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File URL: http://purl.umn.edu/30824
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Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

Volume (Year): 25 (2000)
Issue (Month): 01 (July)
Pages:

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Handle: RePEc:ags:jlaare:30824
Contact details of provider: Web page: http://waeaonline.org/

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  1. 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, 07.
  2. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
  3. Stephen B. Jarrell & T. D. Stanley, 1990. "A meta-analysis of the union-nonunion wage gap," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 44(1), pages 54-67, October.
  4. 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.
  5. 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.
  6. Saxonhouse, Gary R, 1977. "Regressions from Samples Having Different Characteristics," The Review of Economics and Statistics, MIT Press, vol. 59(2), pages 234-37, May.
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