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Bias and Productivity in Humans and Machines
In: Upjohn Institute Working Paper 19-309, 2019
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Working paper
Bias and Productivity in Humans and Machines
In: Columbia Business School Research Paper Forthcoming
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Working paper
Delegation in Hiring: Evidence from a Two-Sided Audit
In: Columbia Business School Research Paper No. 898
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Working paper
Competition and Specificity in Market Design: Evidence from Geotargeted Advertising
In: NET Institute Working Paper No. 18-09
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Working paper
Stock Options and Incentives: Employee-Level Evidence from Google
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Algorithmic Fairness and Economics
In: Columbia Business School Research Paper
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Working paper
Refugee Entrepreneurship: The Case of Venezuelans in Colombia
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Legalizing Entrepreneurship
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The Managerial Effects of Algorithmic Fairness Activism
In: AEA Papers & Proceedings, 110 (2020), Forthcoming
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Does online trade live up to the promise of a borderless world? Evidence from the EU Digital Single Market
An important EU Digital Single Market policy objective is to achieve an open and integrated market for online e-commerce in the EU, to make it easy for consumers to go outside their domestic market and shop online in other EU Member States. This study applies a standard gravity model of international trade to Google e-commerce data to estimate the prevalence of home bias in online shopping in the EU. It compares how much EU Member States trade domestically and with other Member States, and how much the EU trades with itself and with the rest of the world. The research confirms the findings of the (offline) international trade literature, according to which there is strong home bias. There is no unambiguous evidence about the strengths or weaknesses of the EU Digital Single Market. Strong intra-EU home bias suggests that online consumers have a tendency to stay in their home country market. Equally strong extra-EU home bias suggests that online consumers who do decide to shop abroad have a tendency to stay in the EU however, rather than going to a non-EU country. There are indications that online home bias is lower in a comparable cross-border trade setting in North America. Data and methodological limitations do not allow a more detailed analysis.
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The Tradeoffs of Transparency: Measuring Discrimination When Subjects Are Told They Are in an Experiment
In: Columbia Business School Research Paper No. 4718786
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The Gender Disclosure Gap: Salary History Bans Unravel When Men Volunteer their Income
In: Columbia Business School Research Paper No. 4104743
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