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oapen-20.500.12657-229972024-03-22T19:23:35Z Data-Driven Policy Impact Evaluation Crato, Nuno Paruolo, Paolo Political science Public policy Statistics Public finance Econometrics Statistics thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics thema EDItEUR::K Economics, Finance, Business and Management::KF Finance and accounting::KFF Finance and the finance industry::KFFD Public finance and taxation thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics 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 2020-03-18 13:36:15 2020-04-01T08:59:22Z 2020-04-01T08:59:22Z 2019 book 1007164 http://library.oapen.org/handle/20.500.12657/22997 eng application/pdf n/a 1007164.pdf https://www.springer.com/9783319784618 Springer Nature 10.1007/978-3-319-78461-8 10.1007/978-3-319-78461-8 6c6992af-b843-4f46-859c-f6e9998e40d5 346 Cham open access
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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
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