Record Linkage Using Stata: Preprocessing, Linking, and Reviewing Utilities

Author:

Wasi Nada1,Flaaen Aaron2

Affiliation:

1. Survey Research Center Institute for Social Research University of Michigan Ann Arbor, MI

2. Division of Research and Statistics Federal Reserve Board of Governors Washington, DC

Abstract

In this article, we describe Stata utilities that facilitate probabilistic record linkage—the technique typically used for merging two datasets with no common record identifier. While the preprocessing tools are developed specifically for linking two company databases, the other tools can be used for many different types of linkage. Specifically, the stnd_compname and stnd_address commands parse and standardize company names and addresses to improve the match quality when linking. The reclink2 command is a generalized version of Blasnik's reclink (2010, Statistical Software Components S456876, Department of Economics, Boston College) that allows for many-to-one matching. Finally, clrevmatch is an interactive tool that allows the user to review matched results in an efficient and seamless manner. Rather than exporting results to another file format (for example, Excel), inputting clerical reviews, and importing back into Stata, one can use the clrevmatch tool to conduct all of these steps within Stata. This helps improve the speed and flexibility of matching, which often involves multiple runs.

Publisher

SAGE Publications

Subject

Mathematics (miscellaneous)

Reference5 articles.

1. Estimating Measurement Error in Annual Job Earnings: A Comparison of Survey and Administrative Data

2. AgrawalA., and TambeP. 2013. Private equity, technological investment, and labor outcomes. Working paper. http://www.usc.edu/schools/business/FBE/FOM/paper/FOM-Session5_2.20p_AGRAWAL.pdf.

3. BlasnikM. 2010. reclink: Stata module to probabilistically match records. Statistical Software Components S456876, Department of Economics, Boston College. https://ideas.repec.org/c/boc/bocode/s456876.html.

4. Data Matching

5. A Theory for Record Linkage

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