Webinar Series

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Innovation, Productivity and Challenges in the Digital Era: Asia and Beyond

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Feb 2022

This paper studies a decentralized dynamic matching market by using data from a Chinese ride-sharing platform to estimate a model of search and matching between drivers and passengers. We measure passenger valuations of trips, driver preferences, distributions of planned search length, and waiting c...
Keywords: Dynamic Matching, Moment Inequality
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Webinar Series

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Innovation, Productivity and Challenges in the Digital Era: Asia and Beyond

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Jan 2022

This study provides a new perspective on the rise of FinTech lending by uncovering an informational synergy with cashless payments. Theoretically, FinTech lenders screen borrowers more efficiently when borrowers use cashless payments that produce transferable and verifiable information. In turn, bec...
Keywords: FinTech, Lending, payments, verifiability, data sharing, open banking
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Webinar Series

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Innovation, Productivity and Challenges in the Digital Era: Asia and Beyond

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Dec 2021

In the mobile app market, multiple monetizing policies such as paid and free ad-sponsored models co-exist. This paper proposes a novel model of ad-sponsored media with endogenous business model choice, that is applicable to the mobile app industry. The model defines an equilibrium over consumers’ ...
Keywords: Merger simulation, market definition, SSNIP, antitrust policy, ad-sponsored media, platform transaction fee, app economy, distributed word representation.
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Webinar Series

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Innovation, Productivity and Challenges in the Digital Era: Asia and Beyond

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Oct 2021

Keywords: AI, machine learning, autonomy, service delivery
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Webinar Series

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Innovation, Productivity and Challenges in the Digital Era: Asia and Beyond

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Nov 2021

Developing AI technology requires data. In many domains, government data far exceeds in magnitude and scope data collected by the private sector, and AI firms often gain access to such data when providing services to the state. We argue that such access can stimulate commercial AI innovation in part...
Keywords: AI, facial recognition, government data, innnovation, policies
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