NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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Occupational Classifications: A Machine Learning Approach

Akina Ikudo, Julia Lane, Joseph Staudt, Bruce Weinberg

NBER Working Paper No. 24951
Issued in August 2018

---- Acknowledgments ----

Any opinions and conclusions expressed herein are those of the authors and do not necessarily represent the views of the U.S. Census Bureau or the National Bureau of Economic Research. All results have been reviewed to ensure that no confidential information is disclosed. This research was supported by the National Center for Science and Engineering Statistics. NSF SciSIP Awards 1064220 and 1262447; NSF Education and Human Resources DGE Awards 1348691, 1547507, 1348701, 1535399, 1535370; NSF NCSES award 1423706; NIHP01AG039347; and the Ewing Marion Kaufman and Alfred P. Sloan Foundations. Lane was supported through an Intergovernment Personnel Act assignment to the US Census Bureau. The research agenda draws on work with many coauthors, but particularly Jason Owen Smith.

---- Disclosure of Financial Relationships for Bruce Weinberg ----

Weinberg was paid on NIH P01AG039347 directly by NBER and his research was supported by a subcontract to Ohio State University.

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