Augmenting the Human Capital Earnings Equation with Measures of Where People Work / Erling Barth, James Davis, Richard B. Freeman.
Material type:
- Hardcopy version available to institutional subscribers
Item type | Home library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Working Paper | Biblioteca Digital | Colección NBER | nber w22512 (Browse shelf(Opens below)) | Not For Loan |
Collection: Colección NBER Close shelf browser (Hides shelf browser)
August 2016.
We augment standard ln earnings equations with variables reflecting unmeasured attributes of workers and measured and unmeasured attributes of their employer. Using panel employee-establishment data for US manufacturing we find that the observable employer characteristics that most impact earnings are: number of workers, education of co-workers, capital equipment per worker, industry in which the establishment produces, and R&D intensity of the firm. Employer fixed effects also contribute to the variance of ln earnings, though substantially less than individual fixed effects. In addition to accounting for some of the variance in earnings, the observed and unobserved measures of employers mediate the estimated effects of individual characteristics on earnings and increasing earnings inequality through the sorting of workers among establishments.
Hardcopy version available to institutional subscribers
System requirements: Adobe [Acrobat] Reader required for PDF files.
Mode of access: World Wide Web.
Print version record
There are no comments on this title.