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Data and Policy Change

Data and Policy Change
Author: David Dery
Publisher: Springer Science & Business Media
Total Pages: 168
Release: 2013-11-11
Genre: Political Science
ISBN: 940092187X

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This is a work on "hostile" data and the conditions under which they are accepted and rejected. What is the place of data in politics and organization? Why are politicians and administrators so often hostile to research data, or why do they tend to perceive data as hostile to them? How can data become relevant to policy? These questions are the focus of this book. In answer I try to show how political and administrative institutions cope with "hostile" data; how they seek to maintain closedness to disconfirming data, and how they are led, in a free society, to change their policies despite the epistemological bias in favor of the already known and the initial inclination to resist change. At the same time, I demonstrate that data producers must learn that while their research findings may be subjected to science's own standards of verifiability, such data must also meet standards of contestability by the various interests involved in political and administrative decisions. The production and "appropriate" publication of a research report may at best buy one an admission ticket to participate in political and administrative contests, but not the power nor the justification to determine the outcomes of the contest. I begin with two hypotheses: Hypothesis 1: Politicians or administrators reject data that do not coincide with behavior they are unwilling to change. Hypothesis II: Politicians or administrators change behavior that does not coincide with data they are unwilling to reject.


Big Data for Twenty-First-Century Economic Statistics

Big Data for Twenty-First-Century Economic Statistics
Author: Katharine G. Abraham
Publisher: University of Chicago Press
Total Pages: 502
Release: 2022-03-11
Genre: Business & Economics
ISBN: 022680125X

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Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.


Lobbying and Policy Change

Lobbying and Policy Change
Author: Frank R. Baumgartner
Publisher: University of Chicago Press
Total Pages: 357
Release: 2009-08-01
Genre: Political Science
ISBN: 0226039463

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During the 2008 election season, politicians from both sides of the aisle promised to rid government of lobbyists’ undue influence. For the authors of Lobbying and Policy Change, the most extensive study ever done on the topic, these promises ring hollow—not because politicians fail to keep them but because lobbies are far less influential than political rhetoric suggests. Based on a comprehensive examination of ninety-eight issues, this volume demonstrates that sixty percent of recent lobbying campaigns failed to change policy despite millions of dollars spent trying. Why? The authors find that resources explain less than five percent of the difference between successful and unsuccessful efforts. Moreover, they show, these attempts must overcome an entrenched Washington system with a tremendous bias in favor of the status quo. Though elected officials and existing policies carry more weight, lobbies have an impact too, and when advocates for a given issue finally succeed, policy tends to change significantly. The authors argue, however, that the lobbying community so strongly reflects elite interests that it will not fundamentally alter the balance of power unless its makeup shifts dramatically in favor of average Americans’ concerns.


Data Activism and Social Change

Data Activism and Social Change
Author: Miren Gutiérrez
Publisher: Springer
Total Pages: 178
Release: 2018-05-02
Genre: Social Science
ISBN: 331978319X

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This book efficiently contributes to our understanding of the interplay between data, technology and communicative practice on the one hand, and democratic participation on the other. It addresses the emergence of proactive data activism, a new sociotechnical phenomenon in the field of action that arises as a reaction to massive datafication, and makes affirmative use of data for advocacy and social change. By blending empirical observation and in-depth qualitative interviews, Gutiérrez brings to the fore a debate about the social uses of the data infrastructure and examines precisely how people employ it, in combination with other technologies, to collaborate and act for social change.


Global Change Research and Data Management Act of 2007

Global Change Research and Data Management Act of 2007
Author: United States. Congress. House. Committee on Science and Technology (2007-2011)
Publisher:
Total Pages: 152
Release: 2008
Genre: Climatic changes
ISBN:

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