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010   $a3-319-78461-7
024 7 $a10.1007/978-3-319-78461-8
035   $a(CKB)4100000006999298
035   $a(DE-He213)978-3-319-78461-8
035   $a(MiAaPQ)EBC5535810
035   $a(Au-PeEL)EBL5535810
035   $a(OCoLC)1108568216
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/27072
035   $a(PPN)259451355
035   $a(EXLCZ)994100000006999298
100   $a20181002d2019      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData-Driven Policy Impact Evaluation$b[electronic resource] $eHow Access to Microdata is Transforming Policy Design /$fedited by Nuno Crato, Paolo Paruolo
205   $a1st ed. 2019.
210   $aCham$cSpringer Nature$d2019
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (XII, 346 p. 48 illus., 16 illus. in color.) 
311   $a3-319-78460-9 
327   $aIntroduction -- Part I: Microdata for Policy Research -- Part II: Microdata Access -- Part III: Counterfactual Studies -- Part IV: Use of Results.
330   $aIn 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. .
606   $aPublic policy
606   $aStatistics 
606   $aPublic finance
606   $aEconometrics
606   $aPublic Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/911060
606   $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040
606   $aPublic Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W34000
606   $aEconometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/W29010
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
610   $aPolitical science
610   $aPublic policy
610   $aStatistics 
610   $aPublic finance
610   $aEconometrics
615  0$aPublic policy.
615  0$aStatistics .
615  0$aPublic finance.
615  0$aEconometrics.
615 14$aPublic Policy.
615 24$aStatistics for Social Sciences, Humanities, Law.
615 24$aPublic Economics.
615 24$aEconometrics.
615 24$aStatistics for Business, Management, Economics, Finance, Insurance.
676   $a320.6
700   $aCrato$b Nuno$4edt$01333754
702   $aCrato$b Nuno$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aParuolo$b Paolo$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910338020503321
996   $aData-Driven Policy Impact Evaluation$93362021
997   $aUNINA