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A data set on voting intentions in the 1988 Chilean plebiscite, which ultimately ended the military junta rule of Augusto Pinochet.

Usage

chile88

Format

A data frame with 2700 observations on the following 8 variables.

region

a character vector for the region of Chile in which the respondent lives

pop

the population size of the respondent's community

sex

a numeric vector that equals 1 if the respondent is a woman

age

a numeric vector for the age of the respondent

educ

a character vector indicating whether the respondent has a primary (P), secondary (S), or post-secondary (PS) education

income

a numeric vector for respondent's monthly income (in pesos)

sq

a numeric vector for the scale of support for the status quo in Chile

vote

a character vector for the vote intention of the respondent (see details)

Details

Data were manually downloaded from John Fox's website. You will see his version of these data as Chile in the carData package. I changed a few things that are ultimately cosmetic. It's basically this data set.

The vote variable communicates vote intentions, whether to vote "Yes" (Y) to continue the Pinochet regime, to vote "No" (N) to end the Pinochet regime, to abstain (A) from a vote, or whether the respondent is undecided (U). 168 respondents did not answer the question.

Fox (2008, 336) does not say much about the status quo variable, and on what scale it is. It can only be easily inferred that higher values = more support for the status quo.

You may find it in your interest to relabel the "region" variable. In these data, the regions are Central ("C"), Metropolitan Santiago area ("M"), North ("N"), South ("S"), and the city of Santiago ("SA").

More information about the underlying source of the data would be more than welcome. Any information about these data, beyond the kind of R documentation files about its pedagogical use, is hard to find. This is a roundabout way of saying be cautious about any "real-world" use of these data beyond learning statistical methods. That is ultimately its intended use.

References

Fox, John. 2008. Applied Regression Analysis and Generalized Linear Models (2nd ed.). Los Angeles, CA: Sage.