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Andrew Atkeson

Researcher at University of California, Los Angeles

Publications -  145
Citations -  8471

Andrew Atkeson is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Monetary policy & Interest rate. The author has an hindex of 38, co-authored 142 publications receiving 7673 citations. Previous affiliations of Andrew Atkeson include University of Pennsylvania & University of Minnesota.

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Pricing-to-Market, Trade Costs, and International Relative Prices

TL;DR: In this article, the authors embed a model of imperfect competition and variable markups in a quantitative model of international trade and find that when their model is parameterized to match salient features of the data on international trade, it can reproduce deviations from relative purchasing power parity similar to those observed in the data because firms choose to price-to-market.
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Are Phillips Curves Useful for Forecasting Inflation

TL;DR: In this paper, the authors evaluate the conventional wisdom that modern Phillips curve-based models are useful tools for forecasting inflation and show that none of the NAIRU forecasts is more accurate than the naive forecast.
ReportDOI

What Will Be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios

Andrew Atkeson
- 19 Mar 2020 - 
TL;DR: In this article, a simple SIR model of the progression of COVID-19 in the United States over the next 12-18 months is introduced, which allows quantitative statements regarding the tradeoff between the severity and timing of suppression of the disease through social distancing and the progression in the population.
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On Efficient Distribution With Private Information

TL;DR: In this paper, the authors study the dynamics of the efficient distribution of consumption in an exchange economy with many consumers, each of whom is subject to private, idiosyncratic taste shocks.
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Modeling and Measuring Organization Capital

TL;DR: This article used a quantitative growth model of the life cycle of plants, along with U.S. data, to infer the overall size of these payments, and showed that the location of plants in a life cycle determines the size of the payments, or organization rents, plant owners receive from organization capital.