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Perpetuating Inequality: What Salary History Bans Reveal About Wages, James Bessen, Chen Meng, Erich Denk
Perpetuating Inequality: What Salary History Bans Reveal About Wages, James Bessen, Chen Meng, Erich Denk
Faculty Scholarship
Pay gaps for women and minorities have persisted after accounting for observable differences. Why? If employers can access applicants’ salary histories while bargaining over wages, they can take advantage of past inequities, perpetuating inequality. Recently, a dozen US states have banned employer access to salary histories. We analyze the effects of these salary history bans (SHBs) on employer wage posting and pay in a difference-in-differences design. Following SHBs, employers posted wages more often and increased pay for job changers, particularly for women (6.4%) and non-whites (7.7%). Bargaining behavior appears to account for much of the persistence of residual wage gaps.
Information Technology And Learning On-The-Job, James Bessen
Information Technology And Learning On-The-Job, James Bessen
Faculty Scholarship
Economists disagree how much technology raises demand for workers with pre-existing skills. But technology might affect wages another way: through skills learned on the job. Using instrumental variables on 9 panels of workers from 1989 to 2013, this paper estimates that workers who use information technology (IT) have wage growth that is about 2% greater than non-IT workers, all else equal, implying substantial learning. This effect persists over time, implying sustained productivity growth from IT. Also, it benefits workers both with and without college degrees. Because many more college-educated workers use IT, college wages grow faster, contributing to economic inequality.
How Computer Automation Affects Occupations: Technology, Jobs, And Skills, James Bessen
How Computer Automation Affects Occupations: Technology, Jobs, And Skills, James Bessen
Faculty Scholarship
This paper investigates basic relationships between technology and occupations. Building a general occupational model, I look at detailed occupations since 1980 to explore whether computers are related to job losses or other sources of wage inequality. Occupations that use computers grow faster, not slower. This is true even for highly routine and mid-wage occupations. Estimates reject computers as a source of significant net technological unemployment or job polarization. But computerized occupations substitute for other occupations, shifting employment and requiring new skills. Because new skills are costly to learn, computer use is associated with substantially greater within-occupation wage inequality.