IDEAS home Printed from https://ideas.repec.org/p/bfi/wpaper/2020-158.html
   My bibliography  Save this paper

Political Polarization and Expected Economic Outcomes

Author

Listed:
  • Olivier Coibion

    (University of Texas at Austin - Department of Economics; NBER)

  • Yuriy Gorodnichenko

    (University of California, Berkeley - Department of Economics; NBER)

  • Michael Weber

    (University of Chicago - Booth School of Business; NBER)

Abstract

We use a large-scale representative survey of households from October 19-21 that elicits respondents’ expectations about the presidential election’s outcome as well as their economic expectations to document several new facts. First, people disagree strongly about the likely outcome of the election, despite widespread publicly available polling information. Most Democrats are very confident in a Biden win while most Republicans are very confident in a Trump win. Second, respondents predict a fairly rosy economic scenario if their preferred candidate wins but a dire one if the other candidate wins. Since most respondents are confident in their favored outcome, unconditional forecasts are similar across parties despite the fact that underlying probability distributions and conditional forecasts are very different. Third, when presented with recent polling data, most voters change their views by little unless they are independent and/or have relatively weak priors about the outcome. Information that emphasizes the uncertainty in polling data has larger effects in terms of reducing polarization in expected probabilities over different electoral outcomes. Fourth, exogenous information that changes individuals’ probability distribution over electoral outcomes also changes their unconditional forecasts in a corresponding manner. These changes in economic expectations in turn are likely to affect household economic decisions.

Suggested Citation

  • Olivier Coibion & Yuriy Gorodnichenko & Michael Weber, 2020. "Political Polarization and Expected Economic Outcomes," Working Papers 2020-158, Becker Friedman Institute for Research In Economics.
  • Handle: RePEc:bfi:wpaper:2020-158
    as

    Download full text from publisher

    File URL: https://repec.bfi.uchicago.edu/RePEc/pdfs/BFI_WP_2020158.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ruben Enikolopov & Maria Petrova & Ekaterina Zhuravskaya, 2011. "Media and Political Persuasion: Evidence from Russia," American Economic Review, American Economic Association, vol. 101(7), pages 3253-3285, December.
    2. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    3. Stefano DellaVigna & Ethan Kaplan, 2007. "The Fox News Effect: Media Bias and Voting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1187-1234.
    4. Alberto Alesina & Armando Miano & Stefanie Stantcheva, 2020. "The Polarization of Reality," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 324-328, May.
    5. Alberto Alesina & Stefanie Stantcheva & Edoardo Teso, 2018. "Intergenerational Mobility and Preferences for Redistribution," American Economic Review, American Economic Association, vol. 108(2), pages 521-554, February.
    6. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    7. Campante, Filipe R. & Hojman, Daniel A., 2013. "Media and polarization," Journal of Public Economics, Elsevier, vol. 100(C), pages 79-92.
    8. Halberstam, Yosh & Knight, Brian, 2016. "Homophily, group size, and the diffusion of political information in social networks: Evidence from Twitter," Journal of Public Economics, Elsevier, vol. 143(C), pages 73-88.
    9. Timothy Besley & Andrea Prat, 2006. "Handcuffs for the Grabbing Hand? Media Capture and Government Accountability," American Economic Review, American Economic Association, vol. 96(3), pages 720-736, June.
    10. Olivier Coibion & Yuriy Gorodnichenko & Michael Weber, 2022. "Monetary Policy Communications and Their Effects on Household Inflation Expectations," Journal of Political Economy, University of Chicago Press, vol. 130(6), pages 1537-1584.
    11. Guglielmo Barone & Francesco D'Acunto & Gaia Narciso, 2015. "Telecracy: Testing for Channels of Persuasion," American Economic Journal: Economic Policy, American Economic Association, vol. 7(2), pages 30-60, May.
    12. Matthew Gentzkow & Jesse M. Shapiro, 2010. "What Drives Media Slant? Evidence From U.S. Daily Newspapers," Econometrica, Econometric Society, vol. 78(1), pages 35-71, January.
    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. Olivier Coibion & Yuriy Gorodnichenko & Michael Weber, 2021. "Fiscal Policy and Households’ Inflation Expectations: Evidence from a Randomized Control Trial," NBER Working Papers 28485, National Bureau of Economic Research, Inc.
    2. Kempf, Elisabeth & Luo, Mancy & Schafer, Larissa & Tsoutsoura, Margarita, 2022. "Does Political Partisanship Cross Borders? Evidence from International Capital Flows," Working Papers 316, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    3. Jaerim Choi & Sunghun Lim, 2023. "Tariffs, agricultural subsidies, and the 2020 US presidential election," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1149-1175, August.
    4. Dorine Boumans & Klaus Gründler & Niklas Potrafke & Fabian Ruthardt, 2022. "Political Leaders and Macroeconomic Expectations: Evidence from a Global Survey Experiment," CESifo Working Paper Series 9974, CESifo.
    5. Bernd Hayo & Pierre-Guillaume Méon, 2022. "Preaching to the agnostic: Inflation reporting can increase trust in the central bank but only among people with weak priors," MAGKS Papers on Economics 202245, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    6. Ambrocio, Gene & Hasan, Iftekhar, 2022. "Belief polarization and Covid-19," Bank of Finland Research Discussion Papers 10/2022, Bank of Finland.
    7. Faia, Ester & Fuster, Andreas & Pezone, Vincenzo & Zafar, Basit, 2021. "Biases in information selection and processing: Survey evidence from the pandemic," SAFE Working Paper Series 307, Leibniz Institute for Financial Research SAFE.
    8. Damiano Sandri & Francesco Grigoli & Yuriy Gorodnichenko & Olivier Coibion, 2023. "Keep Calm and Bank On: Panic-Driven Bank Runs and the Role of Public Communication," NBER Working Papers 31644, National Bureau of Economic Research, Inc.
    9. Kuang, Pei & Luca, Davide & Wei, Zhiwu & Yao, Yao, 2023. "Great or grim? Disagreement about Brexit, economic expectations and household spending," LSE Research Online Documents on Economics 119200, London School of Economics and Political Science, LSE Library.
    10. Bao, Te & Wei, Lijia & Yu, Yang, 2022. "The impact of information interventions on public opinion on social media regulation: Evidence from a survey on Twitter’s Trump Ban," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    11. Arntz, Melanie & Blesse, Sebastian & Doerrenberg, Philipp, 2022. "The end of work is near, isn't it? Survey evidence on automation angst," ZEW Discussion Papers 22-036, ZEW - Leibniz Centre for European Economic Research.
    12. Bui, Dzung & Dräger, Lena & Hayo, Bernd & Nghiem, Giang, 2023. "Macroeconomic expectations and consumer sentiment during the COVID-19 pandemic: The role of others’ beliefs," European Journal of Political Economy, Elsevier, vol. 77(C).
    13. Ethan Struby & Christina Farhart, 2024. "Inflation Expectations and Political Polarization: Evidence from the Cooperative Election Study," Working Papers 2024-01, Carleton College, Department of Economics.

    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. Piolatto, Amedeo & Schuett, Florian, 2015. "Media competition and electoral politics," Journal of Public Economics, Elsevier, vol. 130(C), pages 80-93.
    2. repec:tiu:tiucen:2013072 is not listed on IDEAS
    3. repec:dgr:kubcen:2013072 is not listed on IDEAS
    4. Piolatto, Amedeo & Schuett, Florian, 2015. "Media competition and electoral politics," Journal of Public Economics, Elsevier, vol. 130(C), pages 80-93.
    5. Faia, Ester & Fuster, Andreas & Pezone, Vincenzo & Zafar, Basit, 2021. "Biases in information selection and processing: Survey evidence from the pandemic," SAFE Working Paper Series 307, Leibniz Institute for Financial Research SAFE.
    6. Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021. "The Effect of Social Media on Elections: Evidence from the United States," NBER Working Papers 28849, National Bureau of Economic Research, Inc.
    7. Oliver Falck & Robert Gold & Stephan Heblich, 2014. "E-lections: Voting Behavior and the Internet," American Economic Review, American Economic Association, vol. 104(7), pages 2238-2265, July.
    8. Ruben Enikolopov & Maria Petrova & Konstantin Sonin, 2018. "Social Media and Corruption," American Economic Journal: Applied Economics, American Economic Association, vol. 10(1), pages 150-174, January.
    9. Leonardo Bursztyn & Aakaash Rao & Christopher Roth & David Yanagizawa-Drott, 2020. "Misinformation During a Pandemic," Working Papers 2020-44, Becker Friedman Institute for Research In Economics.
    10. Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021. "The Effect of Social Media on Elections: Evidence from the United States," NBER Working Papers 28849, National Bureau of Economic Research, Inc.
    11. Halberstam, Yosh & Knight, Brian, 2016. "Homophily, group size, and the diffusion of political information in social networks: Evidence from Twitter," Journal of Public Economics, Elsevier, vol. 143(C), pages 73-88.
    12. Adam Szeidl & Ferenc Szucs, 2021. "Media Capture Through Favor Exchange," Econometrica, Econometric Society, vol. 89(1), pages 281-310, January.
    13. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2020. "Measuring partisan media bias in US Newscasts from 2001-2012," Working Paper 183/2020, Helmut Schmidt University, Hamburg, revised 15 Nov 2022.
    14. Dewenter, Ralf & Dulleck, Uwe & Thomas, Tobias, 2018. "The political coverage index and its application to government capture," Research Papers 6, EcoAustria – Institute for Economic Research.
    15. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    16. Cagé, Julia, 2017. "Media Competition, Information Provision and Political Participation: Evidence from French Local Newspapers and Elections, 1944," CEPR Discussion Papers 12198, C.E.P.R. Discussion Papers.
    17. Qian, Nancy & Yangagizawa, David, 2010. "Watchdog or Lapdog? Media and the U.S. Government," CEPR Discussion Papers 7684, C.E.P.R. Discussion Papers.
    18. Maxim Ananyev & Michael Poyker & Yuan Tian, 2021. "The safest time to fly: pandemic response in the era of Fox News," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 775-802, July.
    19. repec:hal:spmain:info:hdl:2441/7jk88md0ar9hga662p2vjjq4kc is not listed on IDEAS
    20. Matthew Gentzkow & Jesse M. Shapiro & Michael Sinkinson, 2011. "The Effect of Newspaper Entry and Exit on Electoral Politics," American Economic Review, American Economic Association, vol. 101(7), pages 2980-3018, December.
    21. Andrea Tesei & Filipe Campante & Ruben Durante, 2022. "Media and Social Capital," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 69-91, August.
    22. Garz, Marcel & Sörensen, Jil, 2017. "Politicians under investigation: The news Media's effect on the likelihood of resignation," Journal of Public Economics, Elsevier, vol. 153(C), pages 82-91.
    23. Brian Knight & Ana Tribin, 2022. "Opposition Media, State Censorship, and Political Accountability: Evidence from Chavez’s Venezuela," The World Bank Economic Review, World Bank, vol. 36(2), pages 455-487.

    More about this item

    Keywords

    Elections; political views; COVID-19; expectations; randomized controlled trial; Bayesian learning;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

    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:bfi:wpaper:2020-158. 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: Toni Shears (email available below). General contact details of provider: https://edirc.repec.org/data/mfichus.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.