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

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  • Henning, Christian H.C.A.
  • Michalek, Jerzy

Abstract

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.

Suggested Citation

  • Henning, Christian H.C.A. & Michalek, Jerzy, 2008. "Ökonometrische Methoden der Politikevaluation: Meilenstein für eine sinnvolle Agrarpolitik der 2. Säule oder akademische Fingerübung?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(3/4).
  • Handle: RePEc:ags:gjagec:97600
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    References listed on IDEAS

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    1. 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.
    2. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
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    4. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    5. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    6. James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 487-535.
    7. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    8. 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.
    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.
    11. 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 01 Feb 2018.
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    Cited by:

    1. Christian Schader & Jürn Sanders & Thomas Nemecek & Nic Lampkin & Matthias Stolze, 2008. "A Modelling Approach for Evaluating Agri-Environmental Policies at Sector Level," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 1(1), pages 93-132.

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