Non-Coercive Mobilization in State-Controlled Elections: An Experimental Study in Beijing

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Suggested citation: 

Guan, Mei, Donald P. Green (2006), Replication Materials for ‘Non-Coercive Mobilization in State-Controlled Elections: An Experimental Study in Beijing.’ ISPS Data Archive.


Donald P. Green, Mei Guan

Research design: 
Data type: 
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Data source information: 


Field date: 
December 9, 2003
Field Date: 
2003-12-09 - 2003-12-10
Location details: 
Unit of observation: 
Sample size: 
This experiment took place in one of Peking University’s three precincts. This precinct comprised approximately 10,000 registered voters, including both faculty members and students from 18 departments. We obtained a complete list of registered voters a month in advance of the election and removed the names of nonstudents. The remaining names were matched to campus addresses using the name directory in each dormitory building. This procedure generated an experimental population of 4,024 undergraduates and master’s degree students living in 1,004 dormitory rooms on the main campus.
Randomization procedure: 
We assigned voters into control and treatment groups by dormitory room rather than individually. Each dorm room’s residents were randomly assigned to one of three groups: one control group and two treatment groups.
Door-to-door canvassing treatment 1 (civic duty, Chinese democratization, and concerns of voters), Door-to- door canvassing treatment 2 (civic duty, Chinese democratization, concerns of voters, and self-nomination), Control
Treatment administration: 
Door to door
Outcome measures: 
Voting in 2003 Chinese county- and district-level People’s Congress elections; Voter turnout was assessed by watching voters sign in at the polling places on election day
Archive date: 
Mei Guan, Donald P. Green
Owner contact: 


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Area of study: 
Data file numbersort ascending Description File format Size File url
D003F09 Metadata (DDI 3.2) .xml 99883 Download file
D003F06 Treatment materials Adobe Acrobat (8.1) .pdf 41472 Download file
D003F05 Output file R (2.9.1) .txt 17715 Download file
D003F04 Program file R (2.9.1) .R 6144 Download file
D003F03 Dataset Excel .csv 144384 Download file
D003F02 Program file Stata (10.0) .do 4096 Download file
D003F01 Dataset Stata (10.0) .dta 67584 Download file