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Application of the binary Propensity Score Matching methodology to evaluation of EU Rural Development programmes – a micro-level approach

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    Abstract

    The main objective of this study is to show how various micro-economic direct/indirect effects (e.g. deadweight loss, leverage effects, etc.) and selected general equilibrium effects (e.g. substitution and displacement effects) of EU RD programmes can be calculated using recently developed advanced econometric semi-parametric evaluation methodologies. Answers to EU Common Evaluation Questions (CEQ) regarding the effects of an RD programme on programme beneficiaries at farm level (including deadweight loss and leverage effects) are provided by comparing changes in specific result indicators collected at a farm level (e.g. profits, employment, gross-value added, labour productivity, etc.) in the group of programme beneficiaries with an appropriately selected control group (counterfactual analysis - based on matching). Direct programme effects are calculated on the basis of Average Treatment on Treated (ATT) indicators (for programme beneficiaries), Average Treatment Effects on Non-Treated (ATNT) indicators (for programme non-beneficiaries) and Average Treatment Effects (for both groups) using a combination of propensity score matching (PSM) and difference in differences (DID) methods. A modified propensity score and difference in differences methodology (modified PSM-DID) is applied to derive various general equilibrium effects (e.g. substitution or displacement effects). The empirical analysis is focused on evaluation of effects of the SAPARD programme in Slovakia (years 2002-2005) and the Agrarinvestitionsförderungsprogramm (AFP) in Schleswig Holstein, Germany (2000-2006) using micro-economic data (balanced panels) of bookkeeping farms (including programme participants and non-participants) in respective countries.

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    File URL: http://publications.jrc.ec.europa.eu/repository/handle/111111111/26499
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    Bibliographic Info

    Paper provided by Institute for Prospective and Technological Studies, Joint Research Centre in its series JRC-IPTS Working Papers with number JRC71977.

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    Length: 91 pages
    Date of creation: Jun 2012
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    Handle: RePEc:ipt:iptwpa:jrc71977

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    Keywords: impact assessment; counterfactual analysis; evaluation; propensity score matching;

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