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What Can We Learn from Online Wage Postings? Evidence from Glassdoor
We use millions of user-entry salaries from Glassdoor to evaluate how well data from online wage postings compare with more traditional, aggregated data, such as the Quarterly Census for Employment and Wages (QCEW) or household-level data such as the Panel Study of Income Dynamics (PSID). We perform our analysis across industries as well as geographical areas. We find that industry employment shares differ substantially between Glassdoor and QCEW. However, the correlation between industry- and region-specific average salaries in Glassdoor and the QCEW is fairly high. Similarly, the ...
An Assessment of the National Establishment Time Series (NETS) Database
The National Establishment Time Series (NETS) is a private sector source of U.S. business microdata. Researchers have used state-specific NETS extracts for many years, but relatively little is known about the accuracy and representativeness of the nationwide NETS sample. We explore the properties of NETS as compared to official U.S. data on business activity: The Census Bureau's County Business Patterns (CBP) and Nonemployer Statistics (NES) and the Bureau of Labor Statistics' Quarterly Census of Employment and Wages (QCEW). We find that the NETS universe does not cover the entirety of the ...
Impact of Allowing Sunday Alcohol Sales in Georgia on Employment and Hours
This paper uses differential timing across counties of the removal of restrictions on Sunday alcohol sales in the state of Georgia to determine whether the change had an impact on employment and hours in the beer, wine, and liquor retail sales industry. A triple-difference (DDD) analysis finds significant relative increases in average weekly hours in the treated industry. There is no significant relative employment increase. The DDD hours result is stronger when we limit the counties removing restrictions to those that border states with significantly higher alcohol excise taxes.