Iyer, Lakshmi and Mani, Anandi (2013) Data for Traveling agents : political change and bureaucratic turnover in India. [Dataset]

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Abstract

We develop a framework to empirically examine how politicians with electoral pressures control bureaucrats with career concerns, and the consequent implications for bureaucrats' career investments. Unique micro-level data on Indian bureaucrats support our key predictions. Politicians use frequent reassignments (transfers) across posts of
varying importance to control bureaucrats. High-skilled bureaucrats face less frequent political transfers and lower variability in the importance of their posts. We find evidence of two alternative paths to career success: officers of higher initial ability are more likely to invest in skill, but caste affinity to the politician's party base also helps secure important positions.

Item Type:	Dataset
Alternative Title:	Replication data for : Traveling Agents : Political Change and Bureaucratic Turnover in India
Subjects:	H Social Sciences > HC Economic History and Conditions J Political Science > JQ Political institutions (Asia, Africa, Australia, Pacific Area, etc.) J Political Science > JS Local government Municipal government
Divisions:	Faculty of Social Sciences > Economics
Type of Data:	Modelling data
Library of Congress Subject Headings (LCSH):	Bureaucracy -- India, Civil service -- India, India -- Politics and government -- 21st century, Political science -- India
Publisher:	Harvard Dataverse
Official Date:	30 January 2013
Dates:	Date Event 28 January 2013 Submitted 30 January 2013 Published
Status:	Not Peer Reviewed
Publication Status:	Published
Media of Output:	.do .out .tab
Access rights to Published version:	Open Access
Copyright Holders:	University of Warwick
Description:	Data record consists of 34 data files, in .do, .out and .tab format, and a readme file. All data files are in Stata version 11. Do-files run in Stata version 10. The do-file IyerMani_Bureaucrats_filecreate.do creates the files needed to run regressions for each table. Data sources for all variables are described in Section 4 of the paper. Note that bureaucrat names have been anonymized; the field “identifier” provides a unique author-generated ID for each officer. All key variables have been labeled within each stata data file. The do-file IyerMani_Bureaucrats.do generates the results used in the paper. The readme describes the data files needed to generate the results in each table, and the file where the output is stored in a form easily read by Excel.
Related URLs:	Related item in WRAP Other
Contributors:	Contribution Name Contributor ID Contact Person Iyer, Lakshmi 23619

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