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This paper estimates the magnitude and distribution of surplus from the knowledge worker gig economy using data from an online labor market. Labor demand elasticities determine workers' wages, and buyers' past market experience shapes both their job posting frequency and hiring rates. We find that workers on the supply side capture around 40% of the surplus from filled jobs. Under counterfactual policies that resemble traditional employment regulation, buyers post fewer online jobs and fill posted jobs less often, reducing expected surplus for all market participants. We find negligible substitution on the demand side between online and offline jobs by assessing how changes in local offline minimum wages affect online hiring. The results suggest that neither online or offline knowledge workers will benefit from applying traditional employment regulation to the online gig economy.
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This paper estimates housing choice differences between households with and without remote workers. Prior to the pandemic, the expenditure share on housing was more than seven percent higher for remote households compared to similar non-remote households in the same commuting zone. Remote households' higher housing expenditures arise from larger dwellings (more rooms) and a higher price per room. Pre-COVID, households with remote workers were actually located in areas with above-average housing costs, and sorting within-commuting zone to suburban or rural areas was not economically meaningful. Using the pre-COVID distribution of locations, we estimate how much additional pre-tax income would be necessary to compensate non-remote households for extra housing expenses arising from remote work in the absence of geographic mobility, and we compare this compensation to commercial office rents in major metro areas.
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When experience goods compete, consuming one product can be informative about value for similar untried products. We study a two-period model of duopoly competition in markets that have this feature and where firms can price discriminate between consumers based on purchasing history. Price dynamics, firm profits, and consumer surplus depend on how information spillovers shape demand from the consumers who have trialed the rival product--the potential switchers. In the first period, rather than competing intensely for all future profits, firms compete only for the difference in future profits between repeat and switching consumers. Demand-side information spillovers offer an explanation of how competing firms in new product markets can be profitable in all periods even when selling products that are indistinguishable ex ante.
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In a field experiment, we find large differences in productivity treatment effects between voluntary and mandatory workplace mentorship programs. A significant portion of this difference is due to the best employees opting into the program when it is voluntary and these employees having the smallest treatment effects. Our findings suggest that pilot programs run on a voluntary group may obfuscate large potential gains. In our setting, the firm cannot rely on self-selection to help with program allocation because employees that benefit the most from the program are the least likely to participate. Our findings have implications for program evaluation, experimental design, productivity dispersion, and inequality.
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