Big Data in Political Economy

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RSF: The Russell Sage Foundation Journal of the Social Sciences is a peer-reviewed, open-access journal of original empirical research articles by both established and emerging scholars. It is designed to promote cross-disciplinary collaborations on timely issues of interest to academics, policymakers, and the public at large. Each issue is thematic in nature and focuses on a specific research question or area of interest. The introduction to each issue will include an accessible, broad, and synthetic overview of the research question under consideration and the current thinking from the various social sciences.

Author(s): coll.
Publisher: Russell Sage Foundation
Year: 2016

Language: English
Pages: 0

Contents

Introduction: Big Data in Political
Economy 1
Atif Mian and Howard Rosenthal

A Data-Driven Voter Guide for U.S. Elections:
Adapting Quantitative Measures of the
Preferences and Priorities of Political Elites
to Help Voters Learn About Candidates 11
Adam Bonica

Income, Ideology, and Representation 33
Chris Tausanovitch

Shining the Light on Dark Money: Political
Spending by Nonprofits 51
Drew Dimmery and Andrew Peterson
Big Data in Political
Economy

Home Truths: Promises and Challenges
in Linking Mortgages and Political
Influence 69
Deniz Igan

Data Science and Political Economy:
Application to Financial Regulatory
Structure 87
Sharyn O’Halloran, Sameer Maskey, Geraldine
McAllister, David K. Park, and Kaiping Chen