Augmenting the Human Capital Earnings Equation with Measures of Where People Work

Barth, Erling; Davis, James C.; Freeman, Richard B.

doi:10.1086/694187

Cited by 20 publications

(15 citation statements)

References 25 publications

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“…This relationship, called the "size-wage premium", was discovered by Moore (1911) and then confirmed not only for the US (Brown and J. Medoff, 1989;Bayard and K. R. Troske, 1999;K. Troske, 1999;Oi and Idson, 1999;Barth et al, 2018), but also for other industrialised countries (see Morissette, 1993, for Canada, Main andReilly, 1993, for Great Britain, Albaek et al, 1998, for the Scandinavian countries, and Schmidt and Zimmermann, 1991, for Germany).…”

Section: Introductionmentioning

confidence: 80%

The Productivity-Wage Premium: Does Size Still Matter in a Service Economy?

Berlingieri

Calligaris

Criscuolo

2018

AEA Papers and Proceedings

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The literature has established two robust stylized facts: (i) the existence of a firm size-wage premium and (ii) a positive relationship between firm size and productivity. However, the existing evidence is mainly based on manufacturing, which nowadays accounts for a small share of the economy. Using a unique micro-aggregated dataset covering 17 countries over 1994-2012, this paper compares these relationships across sectors. While the size-wage and size-productivity premia are significantly weaker in market services compared to manufacturing, the link between wages and productivity is stronger. In a service economy the stylized fact is a “productivity-wage premium” rather than a “size-wage premium.”

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Section: Introductionmentioning

confidence: 80%

The Productivity-Wage Premium: Does Size Still Matter in a Service Economy?

Berlingieri

Calligaris

Criscuolo

2018

AEA Papers and Proceedings

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show abstract

“…This relationship, called the "size-wage premium", was discovered by Moore (1911) and then confirmed not only for the US (Brown and J. Medoff, 1989;Bayard and K. R. Troske, 1999;K. Troske, 1999;Oi and Idson, 1999;Barth et al, 2018), but also for other industrialised countries (see Morissette, 1993, for Canada, Main and Reilly, 1993, for Great Britain, Albaek et al, 1998, for the Scandinavian countries, and Schmidt and Zimmermann, 1991, for Germany).…”

Section: Introductionmentioning

confidence: 80%

The productivity-wage premium

2018

OECD Science, Technology and Industry Working Papers

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This document has been prepared by Giuseppe Berlingieri, Sara Calligaris and Chiara Criscuolo from the Productivity and Business Dynamics (PBD) Division of the OECD Directorate for Science, Technology and Innovation (STI). This draft has benefited from helpful suggestions and feedback from Dirk Pilat, Alexander Hijzen and Isaac Sorkin, as well as WPIA and CIIE delegates, and seminar participants at the AEA Annual Meeting, OECD, and Paris School of Economics. Rudy Verlhac and Isabelle Desnoyers-James provided excellent assistance with the metadata. OECD Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the authors. Working Papers describe preliminary results or research in progress by the authors and are published to stimulate discussion on a broad range of issues on which the OECD works. Comments on

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“…If men and women with the same job titles tend to work in different establishments, gender segregation is underestimated. Because the growth in withinoccupation inequality is generally attributed, at least in part, to firm-level differences (Abowd, McKinney, and Zhao 2018;Barth, Davis, and Freeman 2018;Card et al 2018;Song et al 2018), the ideal dataset would include both job title and firm information, as in Bielby and Baron (1986) (although their data were limited to a nonrepresentative set of firms over a relatively short time span).…”

Section: Limitationsmentioning

confidence: 99%

What’s in an Occupation? Investigating Within-Occupation Variation and Gender Segregation Using Job Titles and Task Descriptions

Martin-Caughey¹

2021

Preprint

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Occupations have long been central to the study of inequality and mobility. However, the occupational categories typical in most U.S. survey data conceal potentially important patterns within occupations. This project uses a novel data source that has not previously been released for analysis: the verbatim text responses provided by respondents to the General Social Survey from 1972 to 2018 when asked about their occupation. These text data allow for an investigation of variation within occupations, in terms of job titles and task descriptions, and the occupation-level factors associated with this variation. I construct an index of occupational similarity based on the average pairwise cosine similarity between job titles and between task descriptions within occupations. Findings indicate substantial variation in the level of similarity across occupations. Occupational prestige, education, and income are associated with less heterogeneity in terms of job titles but slightly more heterogeneity in terms of task descriptions. Gender diversity is associated with more internal heterogeneity in terms of both job titles and task descriptions. In addition, I use the case of gender segregation to demonstrate how occupational categories can conceal the depth and form of stratification.

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Augmenting the Human Capital Earnings Equation with Measures of Where People Work

Cited by 20 publications

References 25 publications

The Productivity-Wage Premium: Does Size Still Matter in a Service Economy?

The Productivity-Wage Premium: Does Size Still Matter in a Service Economy?

The productivity-wage premium

What’s in an Occupation? Investigating Within-Occupation Variation and Gender Segregation Using Job Titles and Task Descriptions

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