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The Impact of the 2005 CAP-First Pillar Reform as a Multivalued Treatment Effect -Alternative Estimation Approaches

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  • Esposti, Roberto

Abstract

This paper aims at evaluating the impact of the 2003/2005 CAP reform on farm production choices. The outcome of “market orientation” is measured by considering both the short-term production choices and the long-term investment decisions. The Treatment Effect (TE) is estimated through recent alternative multiple/continuous TEs estimators based on the Generalized Propensity Score (GPS). Instead of looking at non-treated counterfactuals these approaches take advantage of the different intensity with which the first pillar support is delivered to treated units. These alternative estimators are implemented and their statistical robustness assessed and results compared. Results show that the 2003/2005 reform of the first pillar of the CAP actually had an impact more in (ri)orienting short-term farm production choices then investment decisions and this effect is significantly more evident for farms with a limited contribution of the CAP on their own Gross Production Value.

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  • Esposti, Roberto, 2014. "The Impact of the 2005 CAP-First Pillar Reform as a Multivalued Treatment Effect -Alternative Estimation Approaches," 2014 Third Congress, June 25-27, 2014, Alghero, Italy 173005, Italian Association of Agricultural and Applied Economics (AIEAA).
  • Handle: RePEc:ags:aiea14:173005
    DOI: 10.22004/ag.econ.173005
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    1. Salvioni, Cristina & Sciulli, Dario, 2011. "Impact of Rural Development Policy and Less Favored Areas Scheme: A Difference in Difference Matching Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115988, European Association of Agricultural Economists.
    2. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    3. 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.
    4. Markus Frölich, 2004. "Programme Evaluation with Multiple Treatments," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 181-224, April.
    5. Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008. "Using Randomization in Development Economics Research: A Toolkit," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 61, pages 3895-3962, Elsevier.
    6. Roberto Esposti & Giulia Listorti, 2013. "Agricultural price transmission across space and commodities during price bubbles," Agricultural Economics, International Association of Agricultural Economists, vol. 44(1), pages 125-139, January.
    7. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    8. Matias D. Cattaneo & David M. Drukker & Ashley D. Holland, 2013. "Estimation of multivalued treatment effects under conditional independence," Stata Journal, StataCorp LP, vol. 13(3), pages 407-450, September.
    9. Roberto ESPOSTI, 2014. "To match, not to match, how to match: Estimating the farm-level impact of the CAP-first pillar reform (or: How to Apply Treatment-Effect Econometrics when the Real World is;a Mess)," Working Papers 403, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    10. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," IZA Discussion Papers 3255, Institute of Labor Economics (IZA).
    11. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    12. Jerzy Michalek, 2012. "Counterfactual impact evaluation of EU rural development programmes - Propensity Score Matching methodology applied to selected EU Member States. Volume 2: A regional approach," JRC Research Reports JRC72060, Joint Research Centre.
    13. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    14. Renwick, Alan W. & Revoredo-Giha, Cesar, 2008. "Measuring Cross-Subsidisation Of The Single Payment Scheme In England," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44783, European Association of Agricultural Economists.
    15. Moro, Daniele & Sckokai, Paolo, 2011. "The impact of pillar I support on farm choices: conceptual and methodological challenges," 122nd Seminar, February 17-18, 2011, Ancona, Italy 99836, European Association of Agricultural Economists.
    16. Chabé-Ferret, Sylvain & Subervie, Julie, 2013. "How much green for the buck? Estimating additional and windfall effects of French agro-environmental schemes by DID-matching," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 12-27.
    17. Michela Bia & Alessandra Mattei, 2012. "Assessing the effect of the amount of financial aids to Piedmont firms using the generalized propensity score," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(4), pages 485-516, November.
    18. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    19. Magrini, Emiliano & Montalbano, Pierluigi & Nenci, Silvia & Salvatici, Luca, 2014. "Agricultural trade distortions during recent international price spikes: what implications for food security?," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182726, European Association of Agricultural Economists.
    20. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    21. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    22. Roberto Esposti, 2007. "Regional Growth and Policies in the European Union: Does the Common Agricultural Policy Have a Counter-Treatment Effect?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 116-134.
    23. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    24. Bia, Michela & Mattei, Alessandra, 2007. "Application of the Generalized Propensity Score. Evaluation of public contributions to Piedmont enterprises," POLIS Working Papers 80, Institute of Public Policy and Public Choice - POLIS.
    25. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    26. 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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    More about this item

    Keywords

    Agricultural and Food Policy; Environmental Economics and Policy; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy;
    All these keywords.

    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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