politics_and_need_rescaled: Governors' decisions to oppose the medicaid expansion under...

In carlislerainey/separation: Using informative priors to deal with separation in logistic regression models

Description

A data set containing the rescaled variables that Barrilleaux and Rainey (2014) use in the their main statistical model of governors' decisions to oppose the Medicaid expansion under the PPACA. Most importantly, no Democratic governors opposed the expansion, leading to a problem of separation. Variables are rescaled following Gelman (2008) and Gelman et al. (2008).

Usage

politics_and_need_rescaled

Format

A data frame with 50 observations of standardized version of the following 10 variables:

state

the name of the state

oppose_expansion

equals one if the state's governor opposed the expansion and zero otherwise

gop_governor

equals one if the state's govenor is Republican and zero otherwise

percent_favorable_aca

an estimate of the percent of the state's population that views the PPACA favorably

gop_leg

equals one if Republicans control both houses of the state legislature and zero otherwise

percent_uninsured

the percent of the state's population without health insurance

bal2012

the state's year-end reserves as a percentage of total spending for 2012

multiplier

the state's current Medicaid multiplier

percent_nonwhite

the percent of the state that is non-white

percent_metro

the percent of the state that resides in a metropolitan area

carlislerainey/separation documentation built on May 13, 2019, 12:45 p.m.