Statistical Tools for Program Evaluation. Methods and Applications to Economic Policy, Public Health, and Education

Jean-Michel Josselin () and Benoît Le Maux ()
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Jean-Michel Josselin: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique
Benoît Le Maux: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique

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Abstract: This book provides a self-contained presentation of the statistical tools required for evaluating public programs, as advocated by many governments, the World Bank, the European Union, and the Organization for Economic Cooperation and Development. After introducing the methodological framework of program evaluation, the first chapters are devoted to the collection, elementary description and multivariate analysis of data as well as the estimation of welfare changes. The book then successively presents the tools of ex-ante methods (financial analysis, budget planning, cost-benefit, cost-effectiveness and multi-criteria evaluation) and ex-post methods (benchmarking, experimental and quasi-experimental evaluation). The step-by-step approach and the systematic use of numerical illustrations equip readers to handle the statistics of program evaluation. It not only offers practitioners from public administrations, consultancy firms and nongovernmental organizations the basic tools and advanced techniques used in program assessment, it is also suitable for executive management training, upper undergraduate and graduate courses, as well as for self-study.

Keywords: Statistical Tools; Economic Policy; Public Health; Education (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)

Published in Springer International Publishing, pp.531, 2017, 978-3-319-52827-4. ⟨10.1007/978-3-319-52827-4⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-02138619

DOI: 10.1007/978-3-319-52827-4

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