vote92 {pscl} | R Documentation

## Reports of voting in the 1992 U.S. Presidential election.

### 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.

### Usage

    data(vote92)

### Format

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.

### 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.

### Examples

    data(vote92)
    summary(vote92)

[Package pscl version 1.5.2 Index]