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Matthew Osborne

Researcher at University of Toronto

Publications -  44
Citations -  2359

Matthew Osborne is an academic researcher from University of Toronto. The author has contributed to research in topics: Medicine & Price discrimination. The author has an hindex of 12, co-authored 32 publications receiving 1534 citations. Previous affiliations of Matthew Osborne include Bureau of Economic Analysis.

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Diagnosing COVID-19: The Disease and Tools for Detection

TL;DR: Diagnostic and surveillance technologies for SARS-CoV-2 and their performance characteristics are described and point-of-care diagnostics that are on the horizon are described to encourage academics to advance their technologies beyond conception.
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Epidemiologic and Clinical Characteristics of Monkeypox Cases — United States, May 17–July 22, 2022

David H. Philpott, +115 more
TL;DR: Clinicians should test patients with rash consistent with monkeypox,† regardless of whether the rash is disseminated or was preceded by prodrome, and public health efforts should prioritize gay, bisexual, and other men who have sex with men, who are currently disproportionately affected for prevention and testing.
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Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock

TL;DR: In this paper, the authors estimate a model of consumer plan choice, usage, and learning using a panel of cellular bills and show that the agreement will lower average consumer welfare by $2 per year because firms will respond by raising monthly fees.
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Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock

TL;DR: In this paper, the authors estimate a model of consumer plan choice, usage, and learning using a panel of cellular bills and show that the agreement will lower average consumer welfare by 2 per year because rms will respond by raising monthly fees.
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Consumer Learning, Switching Costs, and Heterogeneity: A Structural Examination

TL;DR: In this article, an econometric model of consumer learning and experimentation about new products in markets for packaged goods that nests alternative sources of dynamics is proposed. But the model is based on household level scanner data of laundry detergent purchases and the results suggest that consumers have very similar expectations of their match value with new products before consumption experience with the good, but once consumers have learned their true match values they are very heterogeneous.