Data and Code for: Social Ties and the Selection of China's Political Elite

Principal Investigator(s):  View help for Principal Investigator(s) Raymond Fisman, Boston University; Yonxiang Wang, University of Southern California; Jing Shi, Macquarie University; Weixing Wu, University of International Business and Economics

Version:  View help for Version V2

Version Title:  View help for Version Title After verification by the Data Editor

Name File Type Size Last Modified
AER_do.do text/x-stata-syntax 73.7 KB 01/15/2020 07:52:AM
AER_final_deputycc.dta application/x-stata 888.1 KB 12/06/2019 02:28:PM
aer_final.dta application/x-stata 6.9 MB 12/06/2019 02:27:PM
cityties_currentterm.dta application/x-stata 56.2 KB 12/06/2019 02:28:PM
collegeties_currentterm.dta application/x-stata 21.9 KB 12/06/2019 02:28:PM
readme.txt text/plain 1.3 KB 12/06/2019 02:26:PM

Project Citation: 

Fisman, Raymond, Wang, Yonxiang, Shi, Jing, and Wu, Weixing. Data and Code for: Social Ties and the Selection of China’s Political Elite. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-05-15. https://doi.org/10.3886/E115794V2

Project Description

Summary:  View help for Summary
We study how sharing a hometown or college connection with an incumbent member of China's Politburo affects a candidate's likelihood of selection as a new member. In specifications that include fixed effects to absorb quality differences across cities and colleges, we find that hometown and college connections are each associated with 5-9 percentage point reductions in selection probability. This "connections penalty"
is equally strong for retiring Politburo members, arguing against quota-based explanations, and it is much stronger for junior Politburo members, consistent with a role for intra-factional competition. Our findings differ from earlier work because of our emphasis on within-group variation, and our focus on shared hometown and college -- rather than shared workplace -- connections.  
Funding Sources:  View help for Funding Sources National Science Foundation (1729784)

Scope of Project

Subject Terms:  View help for Subject Terms Social Ties; Political connections; China; Politburo; Political selection
JEL Classification:  View help for JEL Classification
      D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
      P26 Socialist Systems and Transitional Economies: Political Economy; Property Rights
Geographic Coverage:  View help for Geographic Coverage China
Time Period(s):  View help for Time Period(s) 1950 – 2017 (1950s-present)
Universe:  View help for Universe Politicians in the China's Central Committee
Data Type(s):  View help for Data Type(s) observational data

Methodology

Data Source:  View help for Data Source See paper for details

Related Publications

Download this project

Published Versions

V2 [2020-05-15]

V1 [2019-11-26]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.