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Ökonometrische Methoden der Politikevaluation: Meilenstein für eine sinnvolle Agrarpolitik der 2. Säule oder akademische Fingerübung?

  • Henning, Christian H.C.A.
  • Michalek, Jerzy
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    Recently the importance of a comprehensive policy evaluation has been increasingly recognized by international organizations, e.g. the World Bank, OECD and FAO as well as especially by the EU. In particular, for agricultural policies of the second pillar a comprehensive evaluation is obligatory. However, presently applied evaluation techniques are clearly lagging behind the ambiguous evaluation targets set by the EU Commission. Given the fact that a comprehensive policy evaluation is a very complex methodological challenge this discrepancy is not really surprising. Thus, nowadays it is still fair to conclude that adequate evaluation tools applicable to EU rural development policies do not exist yet. In this context this paper derives microeconometric evaluation techniques which have been developed within the EU research project ADVANCED-EVAL to evaluate RD policy programmes. In particular, the methodological shortcomings of simple evaluation techniques currently applied to evaluate EU RD policy programmes are demonstrated via a comparison of empirical evaluation results of SAPARD policies in Slovakia derived from these simple EU techniques with evaluation results derived from advanced microeconometric methods, i.e. propensity score matching.

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    File URL: http://purl.umn.edu/97600
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    Article provided by Humboldt-Universitaet zu Berlin, Department for Agricultural Economics in its journal German Journal of Agricultural Economics.

    Volume (Year): 57 (2008)
    Issue (Month): 3/4 ()
    Pages:

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    Handle: RePEc:ags:gjagec:97600
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    1. Blundell, Richard & Costa Dias, Monica, 2008. "Alternative Approaches to Evaluation in Empirical Microeconomics," IZA Discussion Papers 3800, Institute for the Study of Labor (IZA).
    2. James J. Heckman, 1989. "Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The Case of Manpower Training," NBER Working Papers 2861, National Bureau of Economic Research, Inc.
    3. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
    4. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
    5. Heckman, James J & Smith, Jeffrey, 1997. "Making the Most Out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 487-535, October.
    6. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
    7. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
    8. Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 19 Jan 2015.
    9. 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.
    10. Ryan J. Davies, 2001. "Matching and the Estimated Impact of Inter-listing (updated July 2003)," ICMA Centre Discussion Papers in Finance icma-dp2001-11, Henley Business School, Reading University, revised Jun 2003.
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