IDEAS home Printed from https://ideas.repec.org/p/nad/wpaper/20200042.html
   My bibliography  Save this paper

CoronaNet: A Dyadic Dataset of Government Responses to the COVID-19 Pandemic

Author

Listed:
  • Cindy Cheng
  • Joan Barcelo
  • Allison Spencer Hartnett
  • Robert Kubinec
  • Luca Messerschmidt

    (Division of Social Science)

Abstract

Governments everywhere have implemented a broad range of policies that have been highly influential in shaping the COVID-19 pandemic. We present an initial public release of a large hand-coded dataset of over 10,000 separate policy announcements made in response to the pandemic across more than 190 countries. The dataset will be updated daily, with a 5-day lag for validity checking. We currently document policies across numerous dimensions, including the type of policy implemented; national vs. sub-national enforcement; the specific group targeted by the policy; and the time frame within which the policy is implemented. We further analyze the dataset using a Bayesian measurement model which shows the quick acceleration of high-cost policies across countries beginning in mid-March and continuing to the present. While some relatively low-cost policies like task forces and health monitoring began early, countries generally adopted harsher measures within a narrow time window, suggesting strong policy diffusion effects.

Suggested Citation

  • Cindy Cheng & Joan Barcelo & Allison Spencer Hartnett & Robert Kubinec & Luca Messerschmidt, 2020. "CoronaNet: A Dyadic Dataset of Government Responses to the COVID-19 Pandemic," Working Papers 20200042, New York University Abu Dhabi, Department of Social Science, revised Apr 2020.
  • Handle: RePEc:nad:wpaper:20200042
    as

    Download full text from publisher

    File URL: https://nyuad.nyu.edu/content/dam/nyuad/academics/divisions/social-science/working-papers/2020/0042.pdf
    File Function: First version, 2020
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "Labor Markets During the Covid-19 Crisis: A Preliminary View," Department of Economics, Working Paper Series qt7rx7t91p, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    3. Benoit, Kenneth & Conway, Drew & Lauderdale, Benjamin E. & Laver, Michael & Mikhaylov, Slava, 2016. "Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data," American Political Science Review, Cambridge University Press, vol. 110(2), pages 278-295, May.
    4. Noy, Ilan, 2009. "The macroeconomic consequences of disasters," Journal of Development Economics, Elsevier, vol. 88(2), pages 221-231, March.
    5. Hunter, Mark, 2007. "The changing political economy of sex in South Africa: The significance of unemployment and inequalities to the scale of the AIDS pandemic," Social Science & Medicine, Elsevier, vol. 64(3), pages 689-700, February.
    6. Nathan Nunn, 2009. "The Importance of History for Economic Development," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 65-92, May.
    7. Susmita Dasgupta & Benoit Laplante & Hua Wang & David Wheeler, 2002. "Confronting the Environmental Kuznets Curve," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 147-168, Winter.
    8. Elizabeth Gibney, 2020. "Whose coronavirus strategy worked best? Scientists hunt most effective policies," Nature, Nature, vol. 581(7806), pages 15-16, May.
    9. Sean Gailmard & John W. Patty, 2019. "Preventing Prevention," American Journal of Political Science, John Wiley & Sons, vol. 63(2), pages 342-352, April.
    10. Andrew Atkeson, 2020. "What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," Staff Report 595, Federal Reserve Bank of Minneapolis.
    11. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    12. Cynthia Chew & Gunther Eysenbach, 2010. "Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-13, November.
    13. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    14. Bafumi, Joseph & Gelman, Andrew & Park, David K. & Kaplan, Noah, 2005. "Practical Issues in Implementing and Understanding Bayesian Ideal Point Estimation," Political Analysis, Cambridge University Press, vol. 13(2), pages 171-187, April.
    15. Pierson, Paul, 2000. "Increasing Returns, Path Dependence, and the Study of Politics," American Political Science Review, Cambridge University Press, vol. 94(2), pages 251-267, June.
    16. Martin, Andrew D. & Quinn, Kevin M., 2002. "Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999," Political Analysis, Cambridge University Press, vol. 10(2), pages 134-153, April.
    17. Adam Bonica, 2014. "Mapping the Ideological Marketplace," American Journal of Political Science, John Wiley & Sons, vol. 58(2), pages 367-386, April.
    18. Reuning, Kevin & Kenwick, Michael R. & Fariss, Christopher J., 2019. "Exploring the Dynamics of Latent Variable Models," Political Analysis, Cambridge University Press, vol. 27(4), pages 503-517, October.
    19. Clinton, Joshua & Jackman, Simon & Rivers, Douglas, 2004. "The Statistical Analysis of Roll Call Data," American Political Science Review, Cambridge University Press, vol. 98(2), pages 355-370, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    2. Segarra-Blasco, Agustí & Teruel, Mercedes & Cattaruzzo, Sebastiano, 2021. "The economic reaction to non-pharmaceutical interventions during Covid-19," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 592-608.
    3. Menon, Nidhiya, 2021. "Does BMI predict the early spatial variation and intensity of Covid-19 in developing countries? Evidence from India," Economics & Human Biology, Elsevier, vol. 41(C).
    4. Alfano, Vincenzo & Ercolano, Salvatore & Pinto, Mauro, 2022. "Carrot and stick: Economic support and stringency policies in response to COVID-19," Evaluation and Program Planning, Elsevier, vol. 94(C).
    5. G. Bakam Fotso & E. I. Edoun & A. Pradhan & N. Sukdeo, 2022. "A framework for economic performance recovery in South Africa during the Corona Virus Disease 2019 (Covid-19) pandemic," Technium Social Sciences Journal, Technium Science, vol. 27(1), pages 401-422, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cindy Cheng & Joan Barceló & Allison Spencer Hartnett & Robert Kubinec & Luca Messerschmidt, 2020. "COVID-19 Government Response Event Dataset (CoronaNet v.1.0)," Nature Human Behaviour, Nature, vol. 4(7), pages 756-768, July.
    2. Christopher J Fariss & James Lo, 2020. "Innovations in concepts and measurement for the study of peace and conflict," Journal of Peace Research, Peace Research Institute Oslo, vol. 57(6), pages 669-678, November.
    3. Francis,David C. & Kubinec ,Robert, 2022. "Beyond Political Connections : A Measurement Model Approach to Estimating Firm-levelPolitical Influence in 41 Economies," Policy Research Working Paper Series 10119, The World Bank.
    4. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2018. "Inferring hawks and doves from voting records," European Journal of Political Economy, Elsevier, vol. 51(C), pages 107-120.
    5. Tasos Kalandrakis, 2006. "Roll Call Data and Ideal Points," Wallis Working Papers WP42, University of Rochester - Wallis Institute of Political Economy.
    6. Lerner, Joshua Y. & McCubbins, Mathew D. & Renberg, Kristen M., 2021. "The efficacy of measuring judicial ideal points: The mis-analogy of IRTs," International Review of Law and Economics, Elsevier, vol. 68(C).
    7. Mario Quaranta, 2018. "The Meaning of Democracy to Citizens Across European Countries and the Factors Involved," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 859-880, April.
    8. Sally Paganin & Christopher J. Paciorek & Claudia Wehrhahn & Abel Rodríguez & Sophia Rabe-Hesketh & Perry de Valpine, 2023. "Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models," Journal of Educational and Behavioral Statistics, , vol. 48(2), pages 147-188, April.
    9. Bjørn Høyland, 2010. "Procedural and party effects in European Parliament roll-call votes," European Union Politics, , vol. 11(4), pages 597-613, December.
    10. Lucia Dalla Pellegrina & Nuno Garoupa & Marian Gili, 2020. "Estimating Judicial Ideal Points in Bi‐Dimensional Courts: Evidence from Catalonia," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 383-415, June.
    11. Spruk, Rok & Kovac, Mitja, 2019. "Replicating and extending Martin-Quinn scores," International Review of Law and Economics, Elsevier, vol. 60(C).
    12. Shor, Boris & McCarty, Nolan, 2010. "The Ideological Mapping of American Legislatures," Papers 8-11-2010, Princeton University, Research Program in Political Economy.
    13. Pellegrina, Lucia Dalla & Garoupa, Nuno & Gómez-Pomar, Fernando, 2017. "Estimating judicial ideal points in the Spanish Supreme Court: The case of administrative review," International Review of Law and Economics, Elsevier, vol. 52(C), pages 16-28.
    14. Ryan Thomson & Rebecca Mosier & Michelle Worosz, 2023. "COVID research across the social sciences in 2020: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3377-3399, June.
    15. George, Ammu & Li, Changtai & Lim, Jing Zhi & Xie, Taojun, 2021. "From SARS to COVID-19: The evolving role of China-ASEAN production network," Economic Modelling, Elsevier, vol. 101(C).
    16. Eline Moens & Louis Lippens & Philippe Sterkens & Johannes Weytjens & Stijn Baert, 2022. "The COVID-19 crisis and telework: a research survey on experiences, expectations and hopes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 729-753, June.
    17. Di Bartolomeo, Giovanni & D'Imperio, Paolo & Felici, Francesco, 2022. "The fiscal response to the Italian COVID-19 crisis: A counterfactual analysis," Journal of Macroeconomics, Elsevier, vol. 73(C).
    18. Mazhar Mughal & Rashid Javed, 2022. "Perturbed nuptiality, delayed fertility: childbirth effects of Covid19," Journal of Population Research, Springer, vol. 39(4), pages 589-597, December.
    19. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    20. Jule Krüger & Ragnhild Nordås, 2020. "A latent variable approach to measuring wartime sexual violence," Journal of Peace Research, Peace Research Institute Oslo, vol. 57(6), pages 728-739, November.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nad:wpaper:20200042. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alizeh Batra (email available below). General contact details of provider: https://edirc.repec.org/data/ecnyuae.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.