Measuring Corruption from Household Income and Consumption Micro-Data: An International Perspective

Description

File: Replication Package Paper Title: Measuring Corruption from Household Income and Consumption Micro-Data: An International Perspective Authors: Nicolas Sarullo (University of California, Berkeley) Prof. Yuriy Gorodnichenko (University of California, Berkeley) Prof. Tatyana Deryugina (University of Illinois, Urbana-Champaign) James Hodson (AI for Good) Ilona Sologoub (VoxUkraine) Prof. Anastassia Fedyk (University of California, Berkeley) Date: February 11, 2026 Overview: This replication package provides all publicly available data along with code and instructions required to reproduce the empirical results of the research paper. The data is sourced from numerous household and individual level country survey data which are harmonized for analysis. These data are utilized to construct an objective measure of corruption in the public sector for a broad spectrum of countries using consumption-income gaps for public sector workers relative to private sector workers. The package was created to allow independent verification of the statistical findings reported in the paper. Processed and shuffled data are included for confidential sources in order to fulfill confidentiality agreements and minimize user friction.

Steps to reproduce

Please refer to the README file in the replication package for steps to reproduce.

Institutions

• University of California, Berkeley

  California, Berkeley
• University of Illinois Urbana-Champaign

  Illinois, Urbana

Categories

Licence