TY - BOOK ID - 46207746 TI - Data-Driven Policy Impact Evaluation : How Access to Microdata is Transforming Policy Design AU - Crato, Nuno AU - Crato, Nuno. AU - Paruolo, Paolo. PY - 2019 SN - 3319784617 3319784609 PB - Cham Springer Nature DB - UniCat KW - Public policy. KW - Statistics. KW - Public finance. KW - Econometrics. KW - Public Policy. KW - Statistics for Social Sciences, Humanities, Law. KW - Public Economics. KW - Statistics for Business, Management, Economics, Finance, Insurance. KW - Economics, Mathematical KW - Statistics KW - Cameralistics KW - Public finance KW - Currency question KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Mathematics KW - Econometrics KW - Public finances KW - StatisticsĀ . KW - Political science KW - Public policy KW - StatisticsĀ UR - https://www.unicat.be/uniCat?func=search&query=sysid:46207746 AB - 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. . ER -