Record Details

Replication Data for: Pleasing the Principal: U.S. Influence in World Bank Policymaking

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Replication Data for: Pleasing the Principal: U.S. Influence in World Bank Policymaking
 
Identifier https://doi.org/10.7910/DVN/YSS19O
 
Creator Clark, Richard
Dolan, Lindsay
 
Publisher Harvard Dataverse
 
Description How do policies in international organizations reflect the preferences of powerful institutional stakeholders? Using an underutilized data set on the conditions associated with World Bank loans, we find that borrower countries that vote with the United States at the United Nations are required to enact fewer domestic policy reforms, and on fewer and softer issue areas. Though U.S. preferences permeate World Bank decision making, we do not find evidence that borrower countries trade favors in exchange for active U.S. intervention on their behalf. Instead, we propose that U.S. influence operates indirectly when World Bank staff — consciously or unconsciously — design programs that are compatible with U.S. preferences. Our study provides novel evidence of World Bank conditionality and shows that politicized policies can result even from autonomous bureaucracies.
 
Subject Social Sciences
World Bank Group
International agencies
Economic assistance
Political conditionality
 
Contributor Clark, Richard
 
Source Bailey, Michael A., Anton Strezhnev and Erik Voeten. 2017. “Estimating Dynamic State Preferences from United Nations Voting Data.” Journal of Conflict Resolution 61(2):430-456. Downloaded in November 2018. URL: https://doi.org/10.7910/ DVN/LEJUQZ



Development Policy Action Database. 2020. World Bank. Accessed via information request in October 2018. Available at URL: https://projects. worldbank.org/en/projects-operations/products-and-services



Dreher, Axel, Andreas Fuchs, Bradley Parks, Austin M. Strange and Michael J. Tierney. 2017. “Aid, China, and Growth: Evidence from a New Global Development Finance Dataset.” Aid Data Working Paper 46. Date accessed: 2020-13-02 (version 1.0). URL: https://bit.ly/2SNr0V4



Dreher, Axel, Jan-Egbert Sturm and James Raymond Vreeland. 2009. “Development Aid and International Politics: Does Membership on the UN Security Council Influence World Bank Decisions?” Journal of Development Economics 88(1):1-18. Accessed in November 2018. URL: http: //www.axel-dreher.de/UNSCdata.xls



Gleditsch, Nils Petter, Peter Wallensteen, Michael Eriksson, Margareta Sollenberg and Havard Strand. 2002. “Armed Conflict 1946-2001: A New Dataset.” Journal of Peace Research 39(5):615-637. Downloaded in November 2018. URL: https://www.ucdp. uu.se/downloads/



Jaggers, Keith and Ted Robert Gurr. 1995. “Tracking Democracy’s Third Wave with the Polity III Data.” Journal or Peace Research 32(4):469-482. 2017 version of Polity IV dataset was used. URL: https://www.systemicpeace.org/polityproject.html



Kentikelenis, Alexander E., Thomas H. Stubbs and Lawrence P. King. 2016. “IMF Conditionality and Development Policy Space, 1985-2014.” Review of International Political Economy 23(4):543-582. Downloaded in October 2018. URL: http://www. imfmonitor.org/datasets.html



Hyde, Susan and Nikolay Marinov. 2012. “Which Elections Can Be Lost?” Political Analysis 20(2):191-210. NELDA dataset accessed via download in November 2018. URL: https://nelda.co/



Net ODA (indicator). 2020. OECD. Accessed via download in October 2019. URL: https://data.oecd.org/oda/net-oda.htm



World Development Indicators. World Bank. Accessed via download in November 2018. URL: https://datacatalog.worldbank.org/dataset/world-development-indicators