Data and Code for: Measuring Corruption in the Field Using Behavioral Games

Name: Data and Code for: Measuring Corruption in the Field Using Behavioral Games
Published: 2022-12-06
License: https://creativecommons.org/licenses/by/4.0

Principal Investigator(s): View help for Principal Investigator(s) Alex Armand, Nova School of Business and Economics; Alexander Coutts, Schulich School of Business – York University; Pedro C. Vicente, Nova School of Business and Economics; Inês Vilela, Royal Holloway – University of London

Version: View help for Version V1

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Project Citation:

Armand, Alex, Coutts, Alexander, Vicente, Pedro C., and Vilela, Inês. Data and Code for: Measuring Corruption in the Field Using Behavioral Games. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-12-06. https://doi.org/10.3886/E183441V1

Project Description

Summary: This project provides the replication material for the paper "Measuring Corruption in the Field Using Behavioral Games" by Alex Armand, Alexander Coutts, Pedro C. Vicente, and Inês Vilela.

Scope of Project

Subject Terms: Corruption; Mozambique; lab-in-the-field; behavioral game; elite capture; political leader

Geographic Coverage: Cabo Delgado Province, Mozambique

Universe: Household heads, local leaders, and communities in the Cabo Delgado Province (Mozambique).

Data Type(s): experimental data; survey data

Collection Notes: The readme file attached to this project details the data that have been anonymized following the ethics approval of the project.

Methodology

Response Rate: A total of 2,065 heads of household were interviewed at the baseline, targeting 10 per community. Post-treatment attrition was handled through substitutions in the same household, when possible. Endline attrition rate at household-level is equal to 8.3%. Behavioral games object of the study are implemented only at endline.

Sampling: We selected a sample of 206 communities in the province of Cabo Delgado. These were randomly drawn from the list of all 454 polling locations in the sampling frame, stratified on urban, semi-urban, and rural areas. To obtain the sampling frame, 52 polling stations with inconsistent information in either the 2009 or the 2014 general elections were excluded. Moreover, the smallest 5th percentile by voter size (corresponding to a cutoff of 207 voters) was also excluded. The polling locations were located within the following 16 districts in the province of Cabo Delgado: Ancuabe, Balama, Chiure, Macomia, Mecufi, Meluco,Metuge, Mocimboa da Praia, Montepuez, Mueda, Muidumbe, Namuno, Nangade,Palma, Pemba, and Quissanga. The Ibo district was excluded since it is an island, together with two other polling stations in another island. Eleven polling stations in Palma's posto administrativo were also excluded to avoid areas that had already experienced some violence related to relocation of communities.

Sampling of citizens was the product of physical random walks during the baseline survey. In each house, heads of households were sampled for survey interviews and behavioral activities.

Data Source: Data are obtained from primary data collection.

Collection Mode(s): coded on-site observation; cognitive assessment test; face-to-face interview

Scales: Different scales. See Online Appendix of the paper for further details about the data collection.

Weights: N/A.

Unit(s) of Observation: Communities, Community leaders, Household heads

Geographic Unit: Community

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