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Data-Driven Policy Impact Evaluation

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Cover of 'Data-Driven Policy Impact Evaluation'

Table of Contents

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    Book Overview
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    Chapter 1 The Power of Microdata: An Introduction
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    Chapter 2 From ‘Intruders’ to ‘Partners’: The Evolution of the Relationship Between the Research Community and Sources of Official Administrative Data
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    Chapter 3 Microdata for Social Sciences and Policy Evaluation as a Public Good
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    Chapter 4 Overview of Data Linkage Methods for Policy Design and Evaluation
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    Chapter 5 Privacy in Microdata Release: Challenges, Techniques, and Approaches
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    Chapter 6 Access to European Statistical System Microdata
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    Chapter 7 Giving the International Scientific Community Access to German Labor Market Data: A Success Story
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    Chapter 8 Hungary: A Case Study on Improving Access to Administrative Data in a Low-Trust Environment
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    Chapter 9 Experimental and Longitudinal Data for Scientific and Policy Research: Open Access to Data Collected in the Longitudinal Internet Studies for the Social Sciences (LISS) Panel
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    Chapter 10 Public Policy, Big Data, and Counterfactual Evaluation: An Illustration from an Employment Activation Programme
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    Chapter 11 The Use of Administrative Data to Evaluate the Impact of Active Labor Market Policies: The Case of the Italian Liste di Mobilità
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    Chapter 12 Negative Home Equity and Job Mobility
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    Chapter 13 Microdata and Policy Evaluation at CPB
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    Chapter 14 Long-Term Effects of a Social Intervention for Vulnerable Youth: A Register-Based Study
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    Chapter 15 Does the Road to Happiness Depend on the Retirement Decision? Evidence from Italy
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    Chapter 16 The Impact of Age of Entry on Academic Progression
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    Chapter 17 Use of Administrative Data for Counterfactual Impact Evaluation of Active Labour Market Policies in Europe: Country and Time Comparisons
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    Chapter 18 Designing Evaluation of Modern Apprenticeships in Scotland
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    Chapter 19 Pay for Performance in Primary Care: The Use of Administrative Data by Health Economists
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    Chapter 20 The Potential of Administrative Microdata for Better Policy-Making in Europe
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Citations

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Title
Data-Driven Policy Impact Evaluation
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-319-78461-8
ISBNs
978-3-31-978460-1, 978-3-31-978461-8
Authors

FPFIS team

Editors

Nuno Crato, Paolo Paruolo

X Demographics

X Demographics

The data shown below were collected from the profiles of 113 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 14%
Researcher 11 11%
Student > Ph. D. Student 7 7%
Professor 5 5%
Student > Bachelor 4 4%
Other 14 14%
Unknown 46 46%
Readers by discipline Count As %
Social Sciences 20 20%
Economics, Econometrics and Finance 9 9%
Business, Management and Accounting 7 7%
Medicine and Dentistry 3 3%
Linguistics 2 2%
Other 14 14%
Unknown 46 46%