Synthetic data generation is a powerful tool for privacy protection when considering public
release of record‐level data files. Initially proposed about three decades ago, it has …

Policymakers often rely on official statistics and administrative data to make essential public
policy decisions, such as using administrative tax data to broaden our understanding of …

Synthetic data generation is a powerful tool for privacy protection when considering public
release of record-level data files. Initially proposed about three decades ago, it has …

The data privacy community generally agrees that government data should be more widely
accessible, especially being of the people (data collected about them), by the people …

Abstract The United States Internal Revenue Service Statistics of Income (SOI) Division
possesses invaluable administrative tax data from individual income tax returns that could …

The data privacy community generally agrees that government data should be more widely
accessible, especially being of the people (data collected about them), by the people …

This article briskly reviews how tax analysis has evolved over the past three decades and
how these changes have been reflected in the National Tax Journal. The focus is on four …

Providing access to confidential tax data for research while protecting taxpayers' privacy has
grown increasingly difficult using traditional disclosure control methods. For that reason, we …

Accessing data collected by federal statistical agencies is essential for public policy
research and improving evidence-based decision making, such as evaluating the …

The Internal Revenue Service (IRS) collects and curates a remarkable trove of high-quality
tax data drawn from federal tax and information returns on almost every person and …