Bias in Self-reported Voting and How it Distorts Turnout Models: Disentangling Nonresponse Bias and Overreporting Among Danish Voters

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Standard

Bias in Self-reported Voting and How it Distorts Turnout Models : Disentangling Nonresponse Bias and Overreporting Among Danish Voters. / Dahlgaard, Jens Olav; Hansen, Jonas Hedegaard; Hansen, Kasper M.; Bhatti, Yosef.

I: Political Analysis, Bind 27, Nr. 4, 01.10.2019, s. 590-598.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Dahlgaard, JO, Hansen, JH, Hansen, KM & Bhatti, Y 2019, 'Bias in Self-reported Voting and How it Distorts Turnout Models: Disentangling Nonresponse Bias and Overreporting Among Danish Voters', Political Analysis, bind 27, nr. 4, s. 590-598.

APA

Dahlgaard, J. O., Hansen, J. H., Hansen, K. M., & Bhatti, Y. (2019). Bias in Self-reported Voting and How it Distorts Turnout Models: Disentangling Nonresponse Bias and Overreporting Among Danish Voters. Political Analysis, 27(4), 590-598.

Vancouver

Dahlgaard JO, Hansen JH, Hansen KM, Bhatti Y. Bias in Self-reported Voting and How it Distorts Turnout Models: Disentangling Nonresponse Bias and Overreporting Among Danish Voters. Political Analysis. 2019 okt. 1;27(4):590-598.

Author

Dahlgaard, Jens Olav ; Hansen, Jonas Hedegaard ; Hansen, Kasper M. ; Bhatti, Yosef. / Bias in Self-reported Voting and How it Distorts Turnout Models : Disentangling Nonresponse Bias and Overreporting Among Danish Voters. I: Political Analysis. 2019 ; Bind 27, Nr. 4. s. 590-598.

Bibtex

@article{0857019d1a44420da3fc79f877089a59,
title = "Bias in Self-reported Voting and How it Distorts Turnout Models: Disentangling Nonresponse Bias and Overreporting Among Danish Voters",
abstract = "Most nonexperimental studies of voter turnout rely on survey data. However, surveys overestimate turnout because of (1) nonresponse bias and (2) overreporting. We investigate this possibility using a rich dataset of Danish voters, which includes validated turnout indicators from administrative data for both respondents and nonrespondents, as well as respondents' self-reported voting from the Danish National Election Studies. We show that both nonresponse bias and overreporting contribute significantly to overestimations of turnout. Further, we use covariates from the administrative data available for both respondents and nonrespondents to demonstrate that both factors also significantly bias the predictors of turnout. In our case, we find that nonresponse bias and overreporting masks a gender gap of two and a half percentage points in women's favor as well as a gap of 25 percentage points in ethnic Danes' favor compared with Danes of immigrant heritage.",
keywords = "administrative data, measurement error, validated turnout, voter turnout",
author = "Dahlgaard, {Jens Olav} and Hansen, {Jonas Hedegaard} and Hansen, {Kasper M.} and Yosef Bhatti",
year = "2019",
month = oct,
day = "1",
language = "English",
volume = "27",
pages = "590--598",
journal = "Political Analysis",
issn = "1047-1987",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Bias in Self-reported Voting and How it Distorts Turnout Models

T2 - Disentangling Nonresponse Bias and Overreporting Among Danish Voters

AU - Dahlgaard, Jens Olav

AU - Hansen, Jonas Hedegaard

AU - Hansen, Kasper M.

AU - Bhatti, Yosef

PY - 2019/10/1

Y1 - 2019/10/1

N2 - Most nonexperimental studies of voter turnout rely on survey data. However, surveys overestimate turnout because of (1) nonresponse bias and (2) overreporting. We investigate this possibility using a rich dataset of Danish voters, which includes validated turnout indicators from administrative data for both respondents and nonrespondents, as well as respondents' self-reported voting from the Danish National Election Studies. We show that both nonresponse bias and overreporting contribute significantly to overestimations of turnout. Further, we use covariates from the administrative data available for both respondents and nonrespondents to demonstrate that both factors also significantly bias the predictors of turnout. In our case, we find that nonresponse bias and overreporting masks a gender gap of two and a half percentage points in women's favor as well as a gap of 25 percentage points in ethnic Danes' favor compared with Danes of immigrant heritage.

AB - Most nonexperimental studies of voter turnout rely on survey data. However, surveys overestimate turnout because of (1) nonresponse bias and (2) overreporting. We investigate this possibility using a rich dataset of Danish voters, which includes validated turnout indicators from administrative data for both respondents and nonrespondents, as well as respondents' self-reported voting from the Danish National Election Studies. We show that both nonresponse bias and overreporting contribute significantly to overestimations of turnout. Further, we use covariates from the administrative data available for both respondents and nonrespondents to demonstrate that both factors also significantly bias the predictors of turnout. In our case, we find that nonresponse bias and overreporting masks a gender gap of two and a half percentage points in women's favor as well as a gap of 25 percentage points in ethnic Danes' favor compared with Danes of immigrant heritage.

KW - administrative data

KW - measurement error

KW - validated turnout

KW - voter turnout

M3 - Journal article

AN - SCOPUS:85073221100

VL - 27

SP - 590

EP - 598

JO - Political Analysis

JF - Political Analysis

SN - 1047-1987

IS - 4

ER -

ID: 233656403