American National Election Studies 2020 Time Series // anes2020

ANES 2020 Time Series Study. Pre- and post-election surveys around the 2020 US presidential election covering vote choice, political attitudes, media use and demographics.

source: ANES — Stanford University, University of Michigan, NSF · version: 2020 · updated: 2022-02 · official page

common research uses

American National Election Studies 2020 Time Series registers 12 variables — 5 commonly used as dependent variables, 4 as core regressors and 6 as controls. Common research directions for this dataset include: Income and partisan identification, Education and 2020 presidential vote.

Income and partisan identification: DV V201228, IV V201617x, controls V201507x, V201600, V201549x.

Education and 2020 presidential vote: DV V202073, IV V201511x, controls V201507x, V201600, V201549x.

variables · 12 entries

namelabeltype/roledata filedescription · keywords
V200001Case ID
Case ID
identifier / identifiermainUnique respondent identifier
idcase
V200010aPre-election Weight
Full-sample Pre-election Weight
continuous / controlmainSurvey weight for pre-election sample
weight
V201507xAge
Age (years)
continuous / controlmainRespondent age in years
age
V201600Sex
Sex
binary / controlmainRespondent sex
sexgender
V201549xRace/Ethnicity Summary
Race / Ethnicity (Summary)
categorical / controlmainSelf-identified race-ethnicity, summary categories
raceethnicity
V201511xEducation
Highest Level of Education (5-cat)
ordinal / iv,controlmainHighest education completed
educationschooling
V201617xFamily Income
Total Family Income (22-bracket)
ordinal / iv,controlmainFamily income, banded into 22 categories
incomefamily
V201200Liberal-Conservative 7-pt
Liberal-Conservative Self-placement (7-pt)
ordinal / iv,dvmain7-point ideological self-placement
ideologyliberalconservative
V201228Party ID 7-pt
Party Identification (7-pt)
ordinal / iv,dvmain7-point partisan identification
partypartisanship
V202072Voted in 2020
Voted in 2020 General Election
binary / dvmainSelf-reported turnout in 2020 general election
voteturnoutelection
V202073Presidential Vote 2020
Presidential Vote Choice 2020
categorical / dvmainFor whom respondent voted in 2020 presidential election
votepresidentialbidentrump
V201233Govt Trust
Trust in Federal Government
ordinal / dvmainHow often trust the federal government to do what is right
trustgovernment

use these variables

The codebook is an open lookup. The Wizard consumes the same codebook to drive code generation — upload your data and the system auto-recognises variables, applies cleaning rules, recommends research designs, runs regressions and produces a Word report.