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Autor(en): 
  • Benoît Le Maux
  • Jean-Michel Josselin
  • Statistical Tools for Program Evaluation: Methods and Applications to Economic Policy, Public Health, and Education 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2018  
    Genre:  Wirtschaft / Recht 
     
    B / Economics and Finance / Economics, finance, business & management / Education and state / Educational Policy / Educational Policy and Politics / Educational strategies & policy / Management science / Probability & statistics / Public Administration / Public Economics / Public finance / Public Health / Public health & preventive medicine / Public Policy / Social research & statistics / Statistics / Statistics for Social Sciences, Humanities, Law
    ISBN:  9783319849966 
    EAN-Code: 
    9783319849966 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  825 gr 
    Seiten:  531 
    Illustration:  X, 531 p. 139 illus., 86 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      
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