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Papers written by Author(s): 'Rachel Nesbit'

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  • Working Paper

    Collaborative Micro-productivity Project: Establishment-Level Productivity Dataset, 1972-2020

    December 2023

    Working Paper Number:

    CES-23-65

    We describe the process for building the Collaborative Micro-productivity Project (CMP) microdata and calculating establishment-level productivity numbers. The documentation is for version 7 and the data cover the years 1972-2020. These data have been used in numerous research papers and are used to create the experimental public-use data product Dispersion Statistics on Productivity (DiSP).
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  • Working Paper

    Same-Sex and Opposite-Sex Couples and the Child Penalty

    May 2023

    Working Paper Number:

    CES-23-25R

    Existing work has shown that the entry of a child into a household results in a large and sustained increase in the earnings gap between male and female partners in opposite-sex couples. We expand this analysis of the child penalty to examine within-couple dynamics in earnings for both opposite-sex and same-sex couples in the U.S. around the time their first child enters the household. Using linked survey and administrative data and event-study methodology, we confirm earlier work finding a child penalty for women in opposite-sex couples. We find this is true even when the female partner is the primary earner pre-parenthood, lending support to the importance of gender norms in opposite-sex couples. By contrast, in both female and male same-sex couples, earnings changes associated with child entry differ by the relative pre-parenthood earnings of the partners and tend towards equalization: secondary earners see an increase in earnings, while primary earners see a small decrease.
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  • Working Paper

    Opening the Black Box: Task and Skill Mix and Productivity Dispersion

    September 2022

    Working Paper Number:

    CES-22-44

    An important gap in most empirical studies of establishment-level productivity is the limited information about workers' characteristics and their tasks. Skill-adjusted labor input measures have been shown to be important for aggregate productivity measurement. Moreover, the theoretical literature on differences in production technologies across businesses increasingly emphasizes the task content of production. Our ultimate objective is to open this black box of tasks and skills at the establishment-level by combining establishment-level data on occupations from the Bureau of Labor Statistics (BLS) with a restricted-access establishment-level productivity dataset created by the BLS-Census Bureau Collaborative Micro-productivity Project. We take a first step toward this objective by exploring the conceptual, specification, and measurement issues to be confronted. We provide suggestive empirical analysis of the relationship between within-industry dispersion in productivity and tasks and skills. We find that within-industry productivity dispersion is strongly positively related to within-industry task/skill dispersion.
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