Information, Accountability, and Cumulative Learning: Lessons from Metaketa I

Information, Accountability, and Cumulative Learning

Lessons from Metaketa I
 
Publisher: Cambridge University Press
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Product details:

ISBN13:9781108435048
ISBN10:1108435041
Binding:Paperback
No. of pages:504 pages
Size:228x153x24 mm
Weight:810 g
Language:English
Illustrations: 54 b/w illus. 3 maps 50 tables
119
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Short description:

Examines a set of voter information campaigns worldwide to assess their effectiveness, and develops a new social science research model aimed at cumulative learning.

Long description:
Throughout the world, voters lack access to information about politicians, government performance, and public services. Efforts to remedy these informational deficits are numerous. Yet do informational campaigns influence voter behavior and increase democratic accountability? Through the first project of the Metaketa Initiative, sponsored by the Evidence in Governance and Politics (EGAP) research network, this book aims to address this substantive question and at the same time introduce a new model for cumulative learning that increases coordination among otherwise independent researcher teams. It presents the overall results (using meta-analysis) from six independently conducted but coordinated field experimental studies, the results from each individual study, and the findings from a related evaluation of whether practitioners utilize this information as expected. It also discusses lessons learned from EGAP's efforts to coordinate field experiments, increase replication of theoretically important studies across contexts, and increase the external validity of field experimental research.

'This pathbreaking and hugely important book presents and, in a series of illuminating empirical chapters, applies a new method for organizing field experimental research to increase the likelihood of knowledge accumulation from multiple studies. In doing so, it offers the most thoughtful and effective response to date to the challenge of cumulative learning in the field-based social sciences.' Daniel N. Posner, James S. Coleman Professor of International Development, University of California, Los Angeles
Table of Contents:
Part I. Information, Accountability, and a New Approach to Cumulative Learning: 1. Do informational campaigns promote electoral accountability? Thad Dunning, Guy Grossman, Macartan Humphreys, Susan D. Hyde, Craig McIntosh and Gareth Nellis; 2. The Metaketa Initiative Thad Dunning, Guy Grossman, Macartan Humphreys, Susan D. Hyde and Craig McIntosh; 3. Informational interventions: theory and measurement Thad Dunning, Guy Grossman, Macartan Humphreys, Susan D. Hyde, Craig McIntosh and Gareth Nellis; Part II. Field Experiments: 4. Under what conditions does performance information influence voting behavior? Lessons from Benin Claire Adida, Jessica Gottlieb, Eric Kramon and Gwyneth Mcclendon; 5. When does information increase electoral accountability? Lessons from a field experiment in Mexico Eric Arias, Horacio Larreguy, John Marshall and Pablo Querubin; 6. Candidate videos and vote choice in Ugandan parliamentary elections Melina R. Platas and Pia Raffler; 7. Budgets, SMS texts, and votes in Uganda Mark T. Buntaine, Sarah S. Bush, Ryan Jablonski, Daniel L. Nielson and Paula M. Pickering; 8. Performance-based voting in local elections: experimental evidence from Burkina Faso Malte Lierl and Marcus Holmlund; 9. Horizontal but not vertical: accountability institutions and electoral sanctioning in Northeast Brazil Taylor C. Boas, F. Daniel Hidalgo and Marcus A. Melo; 10. Dilemmas and challenges of citizen information campaigns: lessons from a failed experiment in India Neelanjan Sircar and Simon Chauchard; Part III. Cumulative Learning: 11. Meta-analysis Thad Dunning, Clara Bicalho, Anirvan Chowdhury, Guy Grossman, Macartan Humphreys, Susan D. Hyde, Craig McIntosh and Gareth Nellis; 12. Learning about cumulative learning: an experiment with policy practitioners Gareth Nellis, Thad Dunning, Guy Grossman, Macartan Humphreys, Susan D. Hyde, Craig McIntosh and Catlan Reardon; Part IV. Conclusion: 13. Challenges and opportunities Thad Dunning, Guy Grossman, Macartan Humphreys, Susan D. Hyde, Craig McIntosh and Gareth Nellis; Part V. End Matter: 14. Appendix: meta-preanalysis plan (MPAP); 15. References; Part VI. Online Appendix.