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

Jerzy Michalek (jerzy.michalek@ec.europa.eu)
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Jerzy Michalek: European Commission JRC, https://joint-research-centre.ec.europa.eu/index_en

No JRC71977, JRC Research Reports from Joint Research Centre

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.

Keywords: impact assessment; counterfactual analysis; evaluation; propensity score matching (search for similar items in EconPapers)
JEL-codes: Q12 Q18 (search for similar items in EconPapers)
Pages: 91 pages
Date: 2012-06
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