Andrew G. Atkeson’s research while affiliated with University of California, Los Angeles and other places

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Publications (14)


SIR model with screening and diagnostic testing and partial adherence
Actual and simulated paths for deaths and GDP: No-screening baseline. Notes Quarterly GDP (green step function) is shown in real levels, indexed to 1 in 2019Q4. Total deaths (actual in black dashed, simulated in red) under the baseline simulation are 359,000 by January 1, 2021. Bands denote 67%, 90%, and 95% confidence bands using standard errors for the estimated model parameters (color figure online)
Mortality and economic outcomes for program A (50% confirmatory testing)
Costs and benefits for program A (50% confirmatory PCR testing)
Mortality and economic outcomes for program B (universal confirmatory testing)

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Economic benefits of COVID-19 screening tests
  • Article
  • Publisher preview available

October 2024

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11 Reads

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10 Citations

Review of Economic Design

Andrew Atkeson

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Michael Droste

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Michael J. Mina

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James H. Stock

We assess the economic value of screening testing programs as a policy response to the COVID-19 pandemic, first before vaccines were available then during the vaccine rollout. We find that, before vaccines, the fiscal, macroeconomic, and health benefits of rapid SARS-CoV-2 screening testing programs would have far exceeded their costs, with the ratio of economic benefits to costs typically in the range of 2–15 (depending on program details), not counting the monetized value of lives saved. The macroeconomic cost–benefit analysis remains strongly positive after vaccines become available, although the increase in tax revenue might not fully cover the program cost. Confirmatory testing increases the net economic benefits of screening tests by reducing the number of healthy workers in quarantine and by increasing adherence to quarantine measures. The analysis is undertaken using a behavioral SIR model for the United States with 5 age groups, 66 economic sectors, screening and diagnostic testing, and partial adherence to instructions to quarantine or to isolate.

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FOUR STYLIZED FACTS ABOUT COVID‐19

July 2023

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3 Reads

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1 Citation

International Economic Review

We develop a Bayesian method for estimating the dynamics of COVID‐19 deaths and discover four key findings that expose the limitations of current structural epidemiological models. (1) Death growth rates declined rapidly from high levels during the initial 30 days of the epidemic worldwide. (2) After this initial period, these rates fluctuated substantially around zero percent. (3) The cross‐location standard deviation of death growth rates decreased rapidly in the first 10 days but remained high afterwards. (4) These insights apply to both effective reproduction numbers and their cross‐location variability through epidemiological models. Our method is applicable to studying other epidemics. This article is protected by copyright. All rights reserved


COVID-19: Epidemiological Models

May 2023

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34 Reads

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4 Citations

Annual Review of Financial Economics

The world has been confronted in recent decades with several infectious disease outbreaks caused by novel pathogens, with the COVID-19 pandemic being the most severe of these. In this article, I review some of the main elements of epidemiological models used to forecast the trajectory of a new epidemic and to guide public health policy responses to a new infectious disease. I argue that economists have a lot to contribute to the discussion of public health policies, particularly in regard to assessing the costs and benefits of alternative policies and in improving the modeling of changes in human behavior in response to new infectious diseases. This survey is intended to serve economists interested in starting research in these areas. Expected final online publication date for the Annual Review of Financial Economics, Volume 15 is November 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


Behavior and the Transmission of COVID-19

May 2021

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36 Reads

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23 Citations

AEA Papers and Proceedings

A simple model of COVID-19 that incorporates feedback from disease prevalence to disease transmission through an endogenous response of human behavior does a remarkable job fitting the main features of the data on the growth rates of daily deaths observed across a large number of countries and states in the United States in 2020. This finding, however, suggests a new empirical puzzle: very large wedges that shift disease transmission rates holding disease prevalence fixed are required both across regions and within a region over time for the model to match the data on deaths from COVID-19 as an equilibrium outcome exactly.


Figure 1. Vaccination Forecast Path
Economic Benefits of COVID-19 Screening Tests with a Vaccine Rollout

March 2021

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99 Reads

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2 Citations

This note estimates the costs and benefits of a nationwide COVID-19 screening testing program in the presence of vaccine distribution. Even for an optimistic vaccine rollout scenario, a well-designed federally-funded screening testing program, coupled with self-isolation of those who test positive, pays for itself in terms of increased GDP and is projected to save 20,000 or more lives. The sooner the testing program is put in place, the greater are its net economic benefits. This note updates the December 9, 2020 version to include updated deaths data, later dates for rolling out the screening testing program, and the spread of more contagious variants such as the B.1.1. 7 variant.




Figure 1. SIR model with screening & diagnostic testing and partial adherence
Economic and mortality impacts of three screening programs
Economic and mortality impacts: Sensitivity analysis
Economic Benefits of COVID-19 Screening Tests

November 2020

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64 Reads

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3 Citations

We assess the economic value of screening testing programs as a policy response to the ongoing COVID-19 pandemic. We find that the fiscal, macroeconomic, and health benefits of rapid SARS-CoV-2 screening testing programs far exceed their costs, with the ratio of economic benefits to costs typically in the range of 2-15 (depending on program details), not counting the monetized value of lives saved. Unless the screening test is highly specific, however, the signal value of the screening test alone is low, leading to concerns about adherence. Confirmatory testing increases the net economic benefits of screening tests by reducing the number of healthy workers in quarantine and by increasing adherence to quarantine measures. The analysis is undertaken using a behavioral SIR model for the United States with 5 age groups, 66 economic sectors, screening and diagnostic testing, and partial adherence to instructions to quarantine or to isolate.



Citations (11)


... The impact of testing has also been studied. Droste et al. (2024) show that widespread screening tests have huge economic benefits, especially if supported by confirmatory tests. Eichenbaum et al. (2022) compare societies with different levels of aversion to social distancing in a world where testing capacities arise gradually. ...

Reference:

Optimal testing and social distancing of individuals with private health signals
Economic benefits of COVID-19 screening tests

Review of Economic Design

... 17 These excluded studies focused on high profile places such as Italy, Sweden, and New York, that -possibly because they were hit early and were surprised by the pandemic -experienced very high 13 A common problem with epidemiological models is that they don't take spontaneous behavior changes into account and therefore produce erroneous forecasts (Coccia 2023). And even when they do, these behavior changes and consequently the results are based on the authors' assumptions rather than empirical evidence (Atkeson 2023;Toxvaerd 2020). 14 With R 0 = 2.0 and trigger on 60, the number of COVID-19-deaths in Great Britain could be reduced to 5,600 deaths from 410,000 deaths (-99%) with a policy consisting of case isolation + home quarantine + social distancing + school/university closure (Ferguson et al., 2020, p. 13). ...

COVID-19: Epidemiological Models
  • Citing Article
  • May 2023

Annual Review of Financial Economics

... In a separate study by Born et al. (2021), the authors used a synthetic control method to suggest that Sweden's decision not to implement widespread lockdown measures did not significantly contribute to its COVID-19 death cases. Other studies, such as Atkeson et al. (2020), Medica (2020), andDe Larochelambert et al. (2020), also found no significant differences in mortality rates among different pandemic responses and population density. These findings challenge the widely held belief that pandemic responses are effective at controlling the spread of the virus. ...

Four Stylized Facts about COVID-19
  • Citing Article
  • January 2020

SSRN Electronic Journal

... The slowdown of economic (and other) activity even before initial COVID wave restrictions were put in place provided clear evidence that endogenous distancing was important. McAdams (2021) provides an insightful review of the burgeoning literature which includes the theoretical analyses of McAdams (2020) and Toxvaerd (2020) showing that dynamics can be very different under distancing, policy-oriented papers like Eichenbaum et al. (2021) and Farboodi et al. (2021) noting that this can make optimal mitigation policies very different from what they would be in a pure SIR model, and empirical analyses including (Atkeson et al. 2021) and (Droste and Stock 2021) estimating behavioral parameters and noting that they appear to differ across time and place. ...

Behavior and the Transmission of COVID-19
  • Citing Article
  • May 2021

AEA Papers and Proceedings

... Many of these are also the main candidate policies for stopping the spread of other large-scale epidemic outbreaks, such as Ebola. One particularly low-cost intervention that has been tried in a few locations is mass testing of a population in order to identify asymptomatic carriers 3,4 . Theoretical work suggests that mass testing could reduce daily infections by up to 30 percent 5 , while a study on the impact of a mass testing campaign undertaken in Slovakia in late 2020 finds that it temporarily decreased the growth of COVID-19 by 70 percent 6 . ...

Economic Benefits of COVID-19 Screening Tests with a Vaccine Rollout

... 13 See Atkeson, Kopecky, and Zha (2021) for an extension of the canonical SIR model that incorporates spontaneous feedback from disease prevalence to disease transmission. 14 Alternative approaches to estimating the effects of mandated social distancing measures are offered by Chernozhukov, Kasahara, and Schrimpf (2021) and Huang (2020). ...

Behavior and the Transmission of COVID-19
  • Citing Preprint
  • February 2021

... These three epidemiological conditions currently used have proven to be relatively reliable in defining the end of the epidemic. The early or premature declaration of the end of an outbreak would put the population at risk of a resurgence of infections, while too late or delayed end-of-outbreak declaration would greatly increase the economic and social cost owing to repeated extensive molecular testing and the stagnation of social activity (Du et al., 2021;Atkeson et al., 2020;The British Academy, 2021;Elliott, 2020). Quantifying the end-of-outbreak confidence in the late stage of the epidemic on the basis of https://doi.org/10.1016/j.jtbi.2022.111149 ...

Economic Benefits of COVID-19 Screening Tests

... Mathematical and computational models are key tools for understanding pandemic spread and designing intervention policies that help control a pandemic's spread (Atkeson 2020;Andraud et al. 2012). In particular, coupled ordinary and partial differential equations, as well as simpler growthcurve equations, are previously used to capture pandemic spread in general Kampmeijer and Zadoks 1997;Lazebnik 2023;Zhang et al. 2023;Asadi-Zeydabadi et al. 2021) and STD diseases spread, in particular (Liljeros et al. 2003;Galvin and Cohen 2004). ...

On Using SIR Models to Model Disease Scenarios for COVID-19
  • Citing Article
  • June 2020

The Quarterly review

... The equivalent value of γ is 1 − (17/18) 14 . Since α is the proportion of infectious agents dying, the daily and the equivalent values are the same without mask protection, we adopt the two-week equivalent values from existing literature (Acemoglu et al. 2021;Atkeson 2020;Verity et al. 2020). For the mask protection rates, we follow a moderate setting as suggested by Eikenberry et al. (2020). ...

How Deadly is COVID-19? Understanding the Difficulties with Estimation of its Fatality Rate
  • Citing Preprint
  • March 2020