X_votes: Covariate data frame for the Alabama voter turnout data

In jomulder/BANAM: Bayesian Analysis of the Network Autocorrelation Model

Covariate data frame for the Alabama voter turnout data

Description

This data.frame includes logarithmized data on population casting votes, of the population that is 25 years and older who completed 12th grade or higher education, on the number of owner-occupied housing units, and of aggregate income per county in Alabama, US. This data.frame can be specified as covariate matrix in the network autocorrelation model to predict the voter turnout in Alabama.

Usage

data(X_votes)

Format

A data.frame with 67 rows and 4 columns

pop_eligible	numeric	Logarithm of the population casting votes
pop_college	numeric	Logarithm of the population that is 25 years and older who completed 12th grade or higher education
homeownership	numeric	Logarithm of the number of owner-occupied housing units
income	numeric	Logarithmized aggregate income per county

References

Pace, R. K. and R. Barry. 1997. Quick Computation of Spatial Autoregressive Estimators. Geographical Analysis, 29, 232-47. Data can be downloaded from http://www.spatial-econometrics.com/html/jplv7.zip

jomulder/BANAM documentation built on July 24, 2022, 9:25 p.m.