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Partisanship and survey refusal

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  • Borgschulte, Mark
  • Cho, Heepyung
  • Lubotsky, Darren

Abstract

Response rates to important surveys used in social science research have been falling precipitously over the last few decades, raising questions about the representativeness of the resulting data and the quality of evidence that comes from it. We examine how partisan preferences influence response to the Current Population Survey (CPS). Using U.S. state and metro vote shares or an individual-level model based on the longitudinal structure of the CPS, we find evidence of a political cycle in refusals, but that partisanship does not explain the surge in refusals since 2009. Evidence from a natural experiment in Tea Party support using rain on the day of the first Tea Party rally indicates the anti-Census and anti-survey rhetoric of the Tea Party did not increase refusals.

Suggested Citation

  • Borgschulte, Mark & Cho, Heepyung & Lubotsky, Darren, 2022. "Partisanship and survey refusal," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 332-357.
  • Handle: RePEc:eee:jeborg:v:200:y:2022:i:c:p:332-357
    DOI: 10.1016/j.jebo.2022.05.027
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    1. David Autor & David Dorn & Gordon Hanson & Kaveh Majlesi, 2020. "Importing Political Polarization? The Electoral Consequences of Rising Trade Exposure," American Economic Review, American Economic Association, vol. 110(10), pages 3139-3183, October.
    2. Katharine G. Abraham & Aaron Maitland & Suzanne M. Bianchi, 2006. "Non-response in the American Time Use Survey: Who Is Missing from the Data and How Much Does It Matter?," NBER Technical Working Papers 0328, National Bureau of Economic Research, Inc.
    3. Alan B. Krueger & Alexandre Mas & Xiaotong Niu, 2017. "The Evolution of Rotation Group Bias: Will the Real Unemployment Rate Please Stand Up?," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 258-264, May.
    4. Julie Berry Cullen & Nicholas Turner & Ebonya Washington, 2021. "Political Alignment, Attitudes toward Government, and Tax Evasion," American Economic Journal: Economic Policy, American Economic Association, vol. 13(3), pages 135-166, August.
    5. Robert F. Schoeni & Frank Stafford & Katherine A. Mcgonagle & Patricia Andreski, 2013. "Response Rates in National Panel Surveys," The ANNALS of the American Academy of Political and Social Science, , vol. 645(1), pages 60-87, January.
    6. Shi, Min & Svensson, Jakob, 2006. "Political budget cycles: Do they differ across countries and why?," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1367-1389, September.
    7. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    8. Ori Heffetz & Daniel B. Reeves, 2019. "Difficulty of Reaching Respondents and Nonresponse Bias: Evidence from Large Government Surveys," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 176-191, March.
    9. Gregory J. Martin & Ali Yurukoglu, 2017. "Bias in Cable News: Persuasion and Polarization," American Economic Review, American Economic Association, vol. 107(9), pages 2565-2599, September.
    10. Pedro Santa‐Clara & Rossen Valkanov, 2003. "The Presidential Puzzle: Political Cycles and the Stock Market," Journal of Finance, American Finance Association, vol. 58(5), pages 1841-1872, October.
    11. Ľuboš Pástor & Pietro Veronesi, 2020. "Political Cycles and Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 128(11), pages 4011-4045.
    12. Hyslop, Dean R & Imbens, Guido W, 2001. "Bias from Classical and Other Forms of Measurement Error," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 475-481, October.
    13. J. Michael Brick & Douglas Williams, 2013. "Explaining Rising Nonresponse Rates in Cross-Sectional Surveys," The ANNALS of the American Academy of Political and Social Science, , vol. 645(1), pages 36-59, January.
    14. Bullock, John G. & Gerber, Alan S. & Hill, Seth J. & Huber, Gregory A., 2015. "Partisan Bias in Factual Beliefs about Politics," Quarterly Journal of Political Science, now publishers, vol. 10(4), pages 519-578, December.
    15. 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.
    16. Alan S. Gerber & Gregory A. Huber, 2010. "Partisanship, Political Control, and Economic Assessments," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 153-173, January.
    17. Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2015. "Household Surveys in Crisis," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 199-226, Fall.
    18. Michael Faye & Paul Niehaus, 2012. "Political Aid Cycles," American Economic Review, American Economic Association, vol. 102(7), pages 3516-3530, December.
    19. Andreas Madestam & Daniel Shoag & Stan Veuger & David Yanagizawa-Drott, 2013. "Do Political Protests Matter? Evidence from the Tea Party Movement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1633-1685.
    20. Charles Hokayem & Christopher Bollinger & James P. Ziliak, 2015. "The Role of CPS Nonresponse in the Measurement of Poverty," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 935-945, September.
    21. Patrick Kline, 2011. "Oaxaca-Blinder as a Reweighting Estimator," American Economic Review, American Economic Association, vol. 101(3), pages 532-537, May.
    22. Ori Heffetz & Matthew Rabin, 2013. "Conclusions Regarding Cross-Group Differences in Happiness Depend on Difficulty of Reaching Respondents," American Economic Review, American Economic Association, vol. 103(7), pages 3001-3021, December.
    23. Katharine G. Abraham & Sara E. Helms & Stanley Presser, 2008. "How Social Processes Distort Measurement: The Impact of Survey Nonresponse on Estimates of Volunteer Work," NBER Working Papers 14076, National Bureau of Economic Research, Inc.
    24. Christopher R. Bollinger & Barry T. Hirsch & Charles M. Hokayem & James P. Ziliak, 2019. "Trouble in the Tails? What We Know about Earnings Nonresponse 30 Years after Lillard, Smith, and Welch," Journal of Political Economy, University of Chicago Press, vol. 127(5), pages 2143-2185.
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    More about this item

    Keywords

    Current population survey; Survey refusal; Unit non-response; Unemployment rate;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies

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