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        Data-Driven Policy Impact Evaluation

        How Access to Microdata is Transforming Policy Design

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        Contributor(s)
        Crato, Nuno (editor)
        Paruolo, Paolo (editor)
        Language
        English
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        Abstract
        In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation. ; Open Access Demonstrates the potential of data-based policy evaluation Introduces counterfactual impact evaluation methods Includes case studies on policy areas such as public health, education and employment
        URI
        http://library.oapen.org/handle/20.500.12657/22997
        Keywords
        Political science; Public policy; Statistics ; Public finance; Econometrics; Statistics 
        DOI
        10.1007/978-3-319-78461-8
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2019
        Classification
        Social research and statistics
        Public administration
        Econometrics and economic statistics
        Public finance and taxation
        Probability and statistics
        Pages
        346
        Rights
        https://creativecommons.org/licenses/by/4.0
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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