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Insights from the Field

ANES Overestimates Voter Turnout โ€” Overreporting Explains Most


turnout
ANES
overreporting
nonresponse
voter files
Voting and Elections
Pol. An.
6 R files
1 datasets
5 text files
Dataverse
Why Does the ANES Overestimate Voter Turnout? was authored by Bradley Spahn and Simon Jackman. It was published by Cambridge in Pol. An. in 2019.

๐Ÿงพ The Puzzle

Surveys often misstate how frequently people engage in socially desirable behaviors, and the American National Election Study (ANES) has long overstated voter turnout. The face-to-face component of the 2012 ANES produced a turnout estimate at least 13 percentage points higher than the benchmark voting-eligible population turnout rate, but the reasons for this persistent bias have been unclear.

๐Ÿ“Š How Turnout Was Checked Against Records

  • The face-to-face 2012 ANES turnout estimate was compared to the voting-eligible population benchmark.
  • Turnout data supplied by voter-file vendors were used to validate self-reports and measure multiple bias sources simultaneously โ€” enabling these phenomena to be measured for the first time in a single survey.

๐Ÿ”Ž Three Explanations Tested

  • Nonresponse bias (differences between respondents and nonrespondents).
  • Over-reporting (respondents falsely claiming they voted).
  • Inadvertent mobilization (the survey acting as a treatment that increased turnout among respondents).

๐Ÿ“ˆ Key Findings

  • The ANES overestimated turnout by at least 13 percentage points in the 2012 face-to-face component.
  • Breakdown of contributors to that overestimate:
  • Over-reporting: 6 percentage points (the largest single contributor).
  • Nonresponse bias: 4 percentage points.
  • Mobilization (survey-induced turnout): 3 percentage points.
  • These three phenomena were directly measured within the same survey by linking responses to voter-file turnout data.

๐Ÿ’ก Why It Matters

These results clarify why a flagship survey consistently overstates turnout and show that corrective strategies must address both misreporting and selection effects, as well as potential survey-induced behavior. Comparing survey reports with administrative turnout records is essential for accurate measurement of electoral participation.

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