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

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.文件：复现包 论文标题：基于家庭收入与消费微观数据测度腐败：国际视角 作者： Nicolas Sarullo（加州大学伯克利分校） Yuriy Gorodnichenko 教授（加州大学伯克利分校） Tatyana Deryugina 教授（伊利诺伊大学厄巴纳-香槟分校） James Hodson（AI for Good） Ilona Sologoub（VoxUkraine） Anastassia Fedyk 教授（加州大学伯克利分校） 日期：2026年2月11日 概述： 本复现包包含可复现该研究论文实证结果所需的全部公开数据、代码与操作指南。数据集源自多国家庭与个体层面调研数据，已完成标准化处理以支持分析工作。本研究利用公共部门雇员与私营部门雇员的消费-收入缺口，为多国构建了公共部门腐败的客观测度指标。 本复现包旨在支持学界独立验证论文中报告的统计研究结果。为遵守保密协议并降低用户使用门槛，本包已针对涉密数据源提供经处理与随机打乱后的数据。