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The evaluation of public policies is of paramount importance for modern policy making, especially in a period of severe budget constraints. The literature has proposed several methods to deal with the issue of causality and counterfactual evaluation in a variety of contexts, with an increasing attention to the local dimension. The book aims to present the state-of-the-art of evaluation techniques with a special focus on the consideration of geographical and spatial effects into existing methodologies (such as propensity score matching, regression discontinuity, difference-in-difference). Furthermore, the volume highlights how strict the identification conditions for models with spatial effects are and proposes instrumental variables as a technique able to circumvent the issue. Finally, some insights into the emerging literature on ex ante evaluation are offered with respect to EU Cohesion Policy.
List of contents
Introduction.- Regression Discontinuity Design: When Series Interrupt.- Propensity Score Matching: When Units Meet.- Difference-in-Differences: When Time and Space Matter.- A Synthetic Control Approach to Evaluate Local Policies.- Methods for Ex Ante Evaluation.
About the author
Marco Percoco is an assistant professor of regional economics and economic geography in the Department of Policy Analysis and Public Management at Università Bocconi in Milan, where he is also affiliated to Dondena Center for Research on Social Dynamics and CERTeT. His main research interests are in the evaluation of regional and transport policies and in historical economic geography.
Summary
The evaluation of public policies is of paramount importance for modern policy making, especially in a period of severe budget constraints. The literature has proposed several methods to deal with the issue of causality and counterfactual evaluation in a variety of contexts, with an increasing attention to the local dimension. The book aims to present the state-of-the-art of evaluation techniques with a special focus on the consideration of geographical and spatial effects into existing methodologies (such as propensity score matching, regression discontinuity, difference-in-difference). Furthermore, the volume highlights how strict the identification conditions for models with spatial effects are and proposes instrumental variables as a technique able to circumvent the issue. Finally, some insights into the emerging literature on ex ante evaluation are offered with respect to EU Cohesion Policy.
