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Updated: Jun 18, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
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Social Security Administration's Master Earnings File: background information.

Anya Olsen1, Russell Hudson

  • 1Office of Retirement Policy, Office of Retirement and Disability Policy (ORDP), Social Security Administration (SSA), USA.

Social Security Bulletin
|December 8, 2009
PubMed
Summary

This article details the Master Earnings File (MEF), a key Social Security Administration (SSA) data source. It provides researchers and policymakers with a comprehensive understanding of SSA earnings data for policy and research.

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Area of Science:

  • Economics
  • Public Policy
  • Data Science

Background:

  • The Social Security Administration (SSA) annually collects earnings data for the U.S. workforce.
  • This earnings data is crucial for administering Social Security programs and conducting relevant research.
  • The Master Earnings File (MEF) is the primary source of this earnings data.

Observation:

  • The MEF has undergone numerous modifications due to evolving administrative needs of the SSA and other agencies.
  • Understanding the MEF's history, content, limitations, and complexities is essential for accurate data interpretation.
  • The MEF and its derived files are vital for studying work patterns and their societal implications.

Findings:

  • This article serves as a comprehensive resource on the MEF.
  • It documents the evolution, structure, and application of SSA earnings data.
  • The resource aims to enhance the utilization of MEF data in research and policy.

Implications:

  • Researchers can better analyze work patterns and their economic and social consequences.
  • Policymakers and administrators gain insights into data for current program administration.
  • Informed decisions regarding potential program changes can be made based on a solid understanding of earnings data.