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Data-Driven Policy Impact Evaluation [electronic resource] : How Access to Microdata is Transforming Policy Design / edited by Nuno Crato, Paolo Paruolo.

Contributor(s): Material type: TextTextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XII, 346 p. 48 illus., 16 illus. in color. online resourceContent type:
Media type:
Carrier type:
ISBN:
  • 9783319784618
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 320.6 23
Online resources:
Contents:
Introduction -- Part I: Microdata for Policy Research -- Part II: Microdata Access -- Part III: Counterfactual Studies -- Part IV: Use of Results.
In: Springer Nature eBookSummary: 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. .
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IT Carlow ebook

Introduction -- Part I: Microdata for Policy Research -- Part II: Microdata Access -- Part III: Counterfactual Studies -- Part IV: Use of Results.

Open Access

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. .

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