| Title: | Analytics, Policy, and Governance |
| Authors: | Jennifer Bachner, Editor ; Benjamin Ginsberg, Editor ; Kathryn Wagner Hill, Editor |
| Material Type: | printed text |
| Publisher: | [S.l.] : Yale University Press, 2017 |
| ISBN (or other code): | 978-0-300-20839-9 |
| Size: | vi, 261 p. / Paperback |
| Languages: | English |
| Class number: | 320.473 |
| Keywords: | Politics and government, Public administration, Vector analysis, Governance, Datenanalyse, United States, USA |
| Contents note: |
Table of Contents
Introduction, 1 Jennifer Bachner PART I ENGAGING THE DATA 1 Measuring Political and Policy Preferences Using Item Response Scaling. 15 Joshua D. Clinton 2 Causal Inference with Observational Data, 40 Justin Esarey 3 Causal Inference with Experimental Data, 67 David W. Nickerson PART II EMERGING DATA SOURCES AND TECHNIQUES 4 Descriptive Network Analysis: Interest Group Lobbying Dynamics Around Immigration Policy, 91 Alexander Furnas and Lee Drutman 5 Learning from Place in the Era of Geolocation, 118 Ryan T. Moore and Andrew Reeves 6 Text Analysis: Estimating Policy Preferences from Written and Spoken Words, 137 Kenneth Benoit and Alexander Herzog vi CONTENTS 7 Machine Learning and Governance, 160 Alex C. Engler PART III IMPLICATIONS FOR GOVERNANCE 8 Governing a Data-Driven Society, 185 Kathryn Wagner Hill 9 Big Data and Privacy, 204 Priscilla M. Regan 10 Reflections on Analytics: Knowledge and Power, 226 Benjamin Ginsberg List of Contributors, 245 Index, 249 |
Copies (1)
| Barcode | Call number | Media type | Location | Section | Status |
|---|---|---|---|---|---|
| P464 | JEN | Books | PPRC | Books | Available |
