IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v200y2022icp1025-1052.html
   My bibliography  Save this article

Voting, contagion and the trade-off between public health and political rights: Quasi-experimental evidence from the Italian 2020 polls

Author

Listed:
  • Mello, Marco
  • Moscelli, Giuseppe

Abstract

Natural disasters raise challenging trade-offs between public health safety and inalienable rights like the active involvement in political choices through voting. We exploit a quasi-experimental setting provided by multiple ballots across regions and municipalities during the Italian 2020 elections to estimate the effect of voters’ turnout on the spread of COVID-19. By employing an event-study design with a two-stage Control Function strategy, we find that post-poll new COVID infections increased by an average of 1.1% for each additional percentage point of turnout. Based on these estimates and real political events, we also show through a simulation that in-person voting during a high-infection regime may have a large impact on public health outcomes, more than doubling new infections, deaths and hospitalizations. These findings suggest that policy-makers’ responses to natural disasters should be flexible and contingent to the emergency severity, in order to minimize social costs for citizens.

Suggested Citation

  • Mello, Marco & Moscelli, Giuseppe, 2022. "Voting, contagion and the trade-off between public health and political rights: Quasi-experimental evidence from the Italian 2020 polls," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1025-1052.
  • Handle: RePEc:eee:jeborg:v:200:y:2022:i:c:p:1025-1052
    DOI: 10.1016/j.jebo.2022.07.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268122002426
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2022.07.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    2. Gema Zamarro & María J. Prados, 2021. "Gender differences in couples’ division of childcare, work and mental health during COVID-19," Review of Economics of the Household, Springer, vol. 19(1), pages 11-40, March.
    3. repec:fth:prinin:315 is not listed on IDEAS
    4. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    5. Picchio, Matteo & Santolini, Raffaella, 2022. "The COVID-19 pandemic’s effects on voter turnout," European Journal of Political Economy, Elsevier, vol. 73(C).
    6. Bach, Laurent & Guillouzouic, Arthur & Malgouyres, Clément, 2021. "Does holding elections during a Covid-19 pandemic put the lives of politicians at risk?," Journal of Health Economics, Elsevier, vol. 78(C).
    7. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    8. Posner, Richard A, 1981. "The Economics of Privacy," American Economic Review, American Economic Association, vol. 71(2), pages 405-409, May.
      • Posner, Richard A., 1980. "The Economics of Privacy," Working Papers 16, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    9. Marcella Alsan & Luca Braghieri & Sarah Eichmeyer & Minjeong Joyce Kim & Stefanie Stantcheva & David Y. Yang, 2023. "Civil Liberties in Times of Crisis," American Economic Journal: Applied Economics, American Economic Association, vol. 15(4), pages 389-421, October.
    10. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    11. Bleichrodt, Han & Doctor, Jason & Stolk, Elly, 2005. "A nonparametric elicitation of the equity-efficiency trade-off in cost-utility analysis," Journal of Health Economics, Elsevier, vol. 24(4), pages 655-678, July.
    12. Isphording, Ingo E. & Lipfert, Marc & Pestel, Nico, 2021. "Does re-opening schools contribute to the spread of SARS-CoV-2? Evidence from staggered summer breaks in Germany," Journal of Public Economics, Elsevier, vol. 198(C).
    13. Ján Palguta & René Levínský & Samuel Škoda, 2022. "Do elections accelerate the COVID-19 pandemic?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(1), pages 197-240, January.
    14. Aurélien Leroy & Yannick Lucotte, 2017. "Is there a competition-stability trade-off in European banking?," Post-Print hal-03529909, HAL.
    15. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    16. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    17. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2004. "The Role of Social Capital in Financial Development," American Economic Review, American Economic Association, vol. 94(3), pages 526-556, June.
    18. Erik Volz & Swapnil Mishra & Meera Chand & Jeffrey C. Barrett & Robert Johnson & Lily Geidelberg & Wes R. Hinsley & Daniel J. Laydon & Gavin Dabrera & Áine O’Toole & Robert Amato & Manon Ragonnet-Cron, 2021. "Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England," Nature, Nature, vol. 593(7858), pages 266-269, May.
    19. Santos Silva, J.M.C. & Tenreyro, Silvana, 2010. "On the existence of the maximum likelihood estimates in Poisson regression," Economics Letters, Elsevier, vol. 107(2), pages 310-312, May.
    20. Rainer Winkelmann, 2008. "Econometric Analysis of Count Data," Springer Books, Springer, edition 0, number 978-3-540-78389-3, September.
    21. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    22. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2009. "Cultural Biases in Economic Exchange?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1095-1131.
    23. Linda Ryen & Mikael Svensson, 2015. "The Willingness to Pay for a Quality Adjusted Life Year: A Review of the Empirical Literature," Health Economics, John Wiley & Sons, Ltd., vol. 24(10), pages 1289-1301, October.
    24. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    25. David Card & Alan Krueger, 1993. "Minimum Wages and Employment: A Case Study of the Fast Food Industry in New Jersey and Pennsylvania," Working Papers 694, Princeton University, Department of Economics, Industrial Relations Section..
    26. Browning, Edgar K & Johnson, William R, 1984. "The Trade-Off between Equality and Efficiency," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 175-203, April.
    27. Santos Silva, J.M.C. & Tenreyro, Silvana, 2011. "Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator," Economics Letters, Elsevier, vol. 112(2), pages 220-222, August.
    28. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    29. Per Engzell & Arun Frey & Mark D. Verhagen, 2021. "Learning loss due to school closures during the COVID-19 pandemic," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(17), pages 2022376118-, April.
    30. Durante, Ruben & Guiso, Luigi & Gulino, Giorgio, 2021. "Asocial capital: Civic culture and social distancing during COVID-19," Journal of Public Economics, Elsevier, vol. 194(C).
    31. Albouy, David, 2012. "Evaluating the efficiency and equity of federal fiscal equalization," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 824-839.
    32. Chad Cotti & Bryan Engelhardt & Joshua Foster & Erik Nesson & Paul Niekamp, 2021. "The relationship between in‐person voting and COVID‐19: Evidence from the Wisconsin primary," Contemporary Economic Policy, Western Economic Association International, vol. 39(4), pages 760-777, October.
    33. David M. Cutler & Sarah J. Reber, 1998. "Paying for Health Insurance: The Trade-Off between Competition and Adverse Selection," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 433-466.
    34. Wooldridge, Jeffrey M., 1999. "Distribution-free estimation of some nonlinear panel data models," Journal of Econometrics, Elsevier, vol. 90(1), pages 77-97, May.
    35. Leroy, Aurélien & Lucotte, Yannick, 2017. "Is there a competition-stability trade-off in European banking?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 199-215.
    36. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    37. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
    38. repec:elg:eechap:14395_1 is not listed on IDEAS
    39. Ingo E. Isphording & Marc Lipfert & Nico Pestel, 2021. "Does Re-Opening Schools Contribute to the Spread of Sars-Cov-2? Evidence From Staggered Summer Breaks in Germany," CRC TR 224 Discussion Paper Series crctr224_2020_263, University of Bonn and University of Mannheim, Germany.
    40. J. P. Florens & J. J. Heckman & C. Meghir & E. Vytlacil, 2008. "Identification of Treatment Effects Using Control Functions in Models With Continuous, Endogenous Treatment and Heterogeneous Effects," Econometrica, Econometric Society, vol. 76(5), pages 1191-1206, September.
    41. Davide Cipullo & Marco Le Moglie, 2021. "To vote, or not to vote: on the epidemiological impact of electoral campaigns at the time of COVID-19," Papers 2103.11753, arXiv.org.
    42. Wagstaff, Adam, 1991. "QALYs and the equity-efficiency trade-off," Journal of Health Economics, Elsevier, vol. 10(1), pages 21-41, May.
    43. Hainmueller, Jens & Xu, Yiqing, 2013. "ebalance: A Stata Package for Entropy Balancing," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i07).
    44. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    45. Carozzi, Felipe & Provenzano, Sandro & Roth, Sefi, 2020. "Urban Density and COVID-19," IZA Discussion Papers 13440, Institute of Labor Economics (IZA).
    46. Michael Becher & Nicolas Longuet Marx & Vincent Pons & Sylvain Brouard & Martial Foucault & Vincenzo Galasso & Eric Kerrouche & Sandra León Alfonso & Daniel Stegmueller, 2021. "Government Performance and Democracy: Survey Experimental Evidence from 12 Countries during Covid-19," NBER Working Papers 29514, National Bureau of Economic Research, Inc.
    47. Simone Bertoli & Guichard Lucas & Francesca Marchetta, 2020. "Turnout in the Municipal Elections of March 2020 and Excess Mortality during the COVID-19 Epidemic in France," Working Papers hal-03159025, HAL.
    48. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    49. Colleen Cunningham & Florian Ederer & Song Ma, 2021. "Killer Acquisitions," Journal of Political Economy, University of Chicago Press, vol. 129(3), pages 649-702.
    50. Barrios, John M. & Benmelech, Efraim & Hochberg, Yael V. & Sapienza, Paola & Zingales, Luigi, 2021. "Civic capital and social distancing during the Covid-19 pandemic☆," Journal of Public Economics, Elsevier, vol. 193(C).
    51. Eugenio Proto & Climent Quintana-Domeque, 2021. "COVID-19 and mental health deterioration by ethnicity and gender in the UK," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-16, January.
    52. Carozzi, Felipe & Provenzano, Sandro & Roth, Sefi, 2020. "Urban density and Covid-19," LSE Research Online Documents on Economics 108484, London School of Economics and Political Science, LSE Library.
    53. Felipe Carozzi & Sandro Provenzano & Sefi Roth, 2020. "Urban density and Covid-19," CEP Discussion Papers dp1711, Centre for Economic Performance, LSE.
    54. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    Full references (including those not matched with items on IDEAS)

    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. Picchio, Matteo & Santolini, Raffaella, 2022. "The COVID-19 pandemic’s effects on voter turnout," European Journal of Political Economy, Elsevier, vol. 73(C).
    2. Usep Nugraha & Budy P. Resosudarmo & Rus’an Nasrudin, 2023. "Examining the impact of urban compactness on work and social life disruption during COVID-19 pandemic: evidence from Jakarta, Indonesia," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-26, December.
    3. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    4. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    5. Rainer Winkelmann, 2015. "Counting on count data models," IZA World of Labor, Institute of Labor Economics (IZA), pages 148-148, May.
    6. Katharina Werner & Ludger Woessmann, 2021. "The Legacy of Covid-19 in Education," CESifo Working Paper Series 9358, CESifo.
    7. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    8. Dehejia, Rajeev, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series 011, World Institute for Development Economic Research (UNU-WIDER).
    9. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental‐variable estimation of exponential‐regression models with two‐way fixed effects with an application to gravity equations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1121-1137, September.
    10. Czarnitzki, Dirk & Hünermund, Paul & Moshgbar, Nima, 2020. "Public Procurement of Innovation: Evidence from a German Legislative Reform," International Journal of Industrial Organization, Elsevier, vol. 71(C).
    11. Anirban Basu & Norma B. Coe & Cole G. Chapman, 2018. "2SLS versus 2SRI: Appropriate methods for rare outcomes and/or rare exposures," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 937-955, June.
    12. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    13. Deopa, Neha & Fortunato, Piergiuseppe, 2022. "Language and the cultural markers of COVID-19," Social Science & Medicine, Elsevier, vol. 301(C).
    14. Committee, Nobel Prize, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
    15. Kevin E. Staub & Rainer Winkelmann, 2013. "Consistent Estimation Of Zero‐Inflated Count Models," Health Economics, John Wiley & Sons, Ltd., vol. 22(6), pages 673-686, June.
    16. Fernando Rios-Avila & Gustavo Canavire-Bacarreza, 2018. "Standard-error correction in two-stage optimization models: A quasi–maximum likelihood estimation approach," Stata Journal, StataCorp LP, vol. 18(1), pages 206-222, March.
    17. Robert J. R. Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1187-1213, August.
    18. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    19. Gary King, 1989. "A Seemingly Unrelated Poisson Regression Model," Sociological Methods & Research, , vol. 17(3), pages 235-255, February.
    20. Gouriéroux, Christian & Monfort, Alain, 1997. "Modèles de comptage semi-paramétriques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 525-550, mars-juin.

    More about this item

    Keywords

    Voting; COVID-19; Public health; Civic capital; Event study; Endogeneity; Control Function;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:eee:jeborg:v:200:y:2022:i:c:p:1025-1052. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.