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Making the Most of Limited Government Capacity
Last registered on October 07, 2019

Pre-Trial

Trial Information
General Information
Title
Making the Most of Limited Government Capacity
RCT ID
AEARCTR-0004802
Initial registration date
October 06, 2019
Last updated
October 07, 2019 9:33 AM EDT
Location(s)

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Primary Investigator
Affiliation
New York University
Other Primary Investigator(s)
PI Affiliation
NYU
PI Affiliation
INSEAD
Additional Trial Information
Status
In development
Start date
2019-10-07
End date
2021-05-31
Secondary IDs
Abstract
We study how mechanisms that seek to make an optimal use of limited government capacity perform in realistic settings, in which participants need not play according to equilibrium. Our motivating example is that of a tax authority with only limited capacity to perform audits ahead of collection.

The experiment will offer players the opportunity to settle a debt that they owe to a collection authority. The treatments of the experiment will vary the method of collection, settlement offers and information provided to participants about the settlement decisions of others.
External Link(s)
Registration Citation
Citation
Chassang, Sylvain, Lucia Del Carpio and Samuel Kapon. 2019. "Making the Most of Limited Government Capacity." AEA RCT Registry. October 07. https://doi.org/10.1257/rct.4802-1.0.
Experimental Details
Interventions
Intervention(s)
We vary the method of collection, the information that players receive about others, and discounts for settling early.
Intervention Start Date
2019-10-07
Intervention End Date
2021-05-31
Primary Outcomes
Primary Outcomes (end points)
The outcomes we are interested in are total amount collected, total number of settlers and the speed of settlement.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We will run short sessions (approximately 45 minutes) in which groups play three different treatments. Group sizes will be around 10-15 players.

After running short sessions, we also plan to run longer versions of the experiment. In these longer versions (between 1 day and 1 week), a larger number of players (60-100) will play a single treatment.
Experimental Design Details
Not available
Randomization Method
Randomization done by computer. Some randomization will be done pre-session.
Randomization Unit
Across sessions: randomize order of treatments
Within sessions: random matching of players
Within game: random order of parameter change
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
12 (short) sessions in NYU CESS
3 long sessions
Sample size: planned number of observations
200-700 players
Sample size (or number of clusters) by treatment arms
Each player in the short session plays all 3 treatments, randomly ordered.
3 clusters for large group experiments.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
Documents
Document Name
Theory, Design and Instructions
Document Type
other
Document Description
This document includes the main theoretical predictions, experimental design and a sample of instructions.
File
Theory, Design and Instructions

MD5: 2cd3f8d36264c0bfde774b50fbe2da45

SHA1: 63dae05a36041774025dfd230950dfe7eeb6ffef

Uploaded At: September 30, 2019

IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University Committee on Activities Involving Human Subjects
IRB Approval Date
2019-10-19
IRB Approval Number
FY-IRB# 2016-1401