Overseeing the Machine: Monitoring the Effort of Political Party Workers
Last registered on August 02, 2018


Trial Information
General Information
Overseeing the Machine: Monitoring the Effort of Political Party Workers
Initial registration date
July 30, 2018
Last updated
August 02, 2018 1:42 AM EDT

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Primary Investigator
Harvard University
Other Primary Investigator(s)
Additional Trial Information
On going
Start date
End date
Secondary IDs
Can monitoring by political parties induce their workers to expend greater effort in electoral campaigns? Through a large-scale field experiment in collaboration with a major political party in Pakistan, I test whether monitoring of political campaigns by the party can induce greater effort by the party's political workers during the campaign and bring about better electoral outcomes for the party.
External Link(s)
Registration Citation
Liaqat, Asad. 2018. "Overseeing the Machine: Monitoring the Effort of Political Party Workers." AEA RCT Registry. August 02. https://www.socialscienceregistry.org/trials/3190/history/32493
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Experimental Details
Notice to party workers indicating their effort during the electoral campaign on one of two different kinds of voter populations will be monitored.
Intervention Start Date
Intervention End Date
Primary Outcomes
Primary Outcomes (end points)
Party worker effort, turnout and party vote share
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Voter perception of party and party performance, non-electoral political participation, party worker loyalty after election, within-party communication by party worker.
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Union Councils randomized into three experimental groups: two treatment groups where party worker effort in mobilizing different kinds of populations is monitored and a control group where party worker effort is not monitored. Within each treatment Union Council, four out of six wards picked at random where effort is monitored.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Union Councils and wards within Union Councils.
Was the treatment clustered?
Experiment Characteristics
Sample size: planned number of clusters
94 Union Councils with 6 wards each
Sample size: planned number of observations
Number of units: 564 wards within 94 Union Councils. Outcomes will be recorded at: (i) Polling station level, with one or more polling stations per ward (exact number unknown, pending the release of election results by Election Commission of Pakistan) (ii) Voter level (with up to 10 voters surveyed in each ward, for a total of 5,000 voters). (iii) Political worker level, with the main political worker in each treatment and control ward surveyed
Sample size (or number of clusters) by treatment arms
One third of Union Councils placed in each of two treatment groups and control group. Within each of the two treatment groups, four out of six union councils placed into treatment and the remaining two wards placed into within-treated-UC-control.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB Name
Committee on the Use of Human Subjects, Harvard University
IRB Approval Date
IRB Approval Number
IRB 18-0784