Name:

Description:

Survey data containing self-reports of vote choice in the 1992 U.S. Presidential election, with numerous covariates, from the 1992 American National Election Studies.

Variables:

A data frame with 909 observations on the following 10 variables.

vote

a factor with levels Perot Clinton Bush

dem

a numeric vector, 1 if the respondent reports identifying with the Democratic party, 0 otherwise.

rep

a numeric vector, 1 if the respondent reports identifying with the Republican party, 0 otherwise

female

a numeric vector, 1 if the respondent is female, 0 otherwise

persfinance

a numeric vector, -1 if the respondent reports that their personal financial situation has gotten worse over the last 12 months, 0 for no change, 1 if better

natlecon

a numeric vector, -1 if the respondent reports that national economic conditions have gotten worse over the last 12 months, 0 for no change, 1 if better

clintondis

a numeric vector, squared difference between respondent's self-placement on a scale measure of political ideology and the respondent's placement of the Democratic candidate, Bill Clinton

bushdis

a numeric vector, squared ideological distance of the respondent from the Republican candidate, President George H.W. Bush

perotdis

a numeric vector, squared ideological distance of the respondent from the Reform Party candidate, Ross Perot

Details

These data are unweighted. Refer to the original data source for weights that purport to correct for non-representativeness and non-response.

Link To Google Sheets:

Rows:

Columns:

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References/Notes/Attributions:

Source

Alvarez, R. Michael and Jonathan Nagler. 1995. Economics, issues and the Perot candidacy: Voter choice in the 1992 Presidential election. American Journal of Political Science. 39:714-44.

Miller, Warren E., Donald R. Kinder, Steven J. Rosenstone and the National Election Studies. 1999. National Election Studies, 1992: Pre-/Post-Election Study. Center for Political Studies, University of Michigan: Ann Arbor, Michigan.

Inter-University Consortium for Political and Social Research. Study Number 1112. http://dx.doi.org/10.3886/ICPSR01112.

References

Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Hoboken, New Jersey. Examples 8.7 and 8.8.

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