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Evaluating the Effects of Farm Programs: Results from Propensity Score Matching

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  • Pufahl, Andrea
  • Weiss, Christoph R.

Abstract

The paper applies a non-parametric propensity score matching approach to evaluate the effects of two types of farm programs (agri-environment (AE) programs and the less favoured area (LFA) scheme) on input use and farm output of individual farms in Germany. The analysis reveals a positive and significant treatment effect of the LFA scheme for farm sales and the area under cultivation. Participants in AE schemes are found to significantly increase the area under cultivation (in particular grassland), resulting in a decrease of livestock densities. Furthermore, participation in AE programs significantly reduced the purchase of farm chemicals (fertilizer, pesticide). We also find substantial differences in the treatment effect between individual farms (heterogeneous treatment effects). Farms which can generate the largest benefit from the program are most likely to participate.

Suggested Citation

  • Pufahl, Andrea & Weiss, Christoph R., 2008. "Evaluating the Effects of Farm Programs: Results from Propensity Score Matching," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6635, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa107:6635
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    References listed on IDEAS

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    1. Mary Clare Ahearn & Jet Yee & Penni Korb, 2005. "Effects of Differing Farm Policies on Farm Structure and Dynamics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1182-1189.
    2. Teresa Serra & Barry K. Goodwin & Allen M. Featherstone, 2005. "Agricultural Policy Reform and Off-farm Labour Decisions," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(2), pages 271-285.
    3. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    4. 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.
    5. 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.
    6. Ashok K. Mishra & Barry K. Goodwin, 1997. "Farm Income Variability and the Supply of Off-Farm Labor," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 880-887.
    7. Shaik, Saleem & Helmers, Glenn A., 2006. "An Examination Of Farm Program Payments On Farm Economic Structure," 2006 Annual meeting, July 23-26, Long Beach, CA 21215, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Lori Lynch & Wayne Gray & Jacqueline Geoghegan, 2007. "Are Farmland Preservation Program Easement Restrictions Capitalized into Farmland Prices? What Can a Propensity Score Matching Analysis Tell Us?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 502-509.
    9. Thilo Glebe & Klaus Salhofer, 2007. "EU agri-environmental programs and the "restaurant table effect"," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2-3), pages 211-218, September.
    10. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
    11. Nigel Key & Michael J. Roberts, 2006. "Government Payments and Farm Business Survival," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 382-392.
    12. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    13. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
    14. Howard D. Leathers, 1992. "The Market for Land and the Impact of Farm Programs on Farm Numbers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 291-298.
    15. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    16. C. S. Kim & G. Schluter & G. Schaible & A. Mishra & C. Hallahan, 2005. "A Decomposed Negative Binomial Model of Structural Change: A Theoretical and Empirical Application to U.S. Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(2-3), pages 161-176, June.
    17. Joe Dewbre, 2006. "The Impact of Coupled and Decoupled Government Subsidies on Off-Farm Labor Participation of U.S. Farm Operators," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 393-408.
    18. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
    19. Nigel Key & Ruben N. Lubowski & Michael J. Roberts, 2005. "Farm-Level Production Effects from Participation in Government Commodity Programs: Did the 1996 Federal Agricultural Improvement and Reform Act Make a Difference?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1211-1219.
    20. 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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    Keywords

    evaluation; farm programs; propensity score matching; Agricultural and Food Policy; Farm Management;

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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