Different Dependent Variables Sample Clauses

Different Dependent Variables. There could be a few qualms about the results reported here. In this and the following sections, I explore some of those potential problems and highlight how the insignifi- cance of the literature expectations remain even after considering these problems. First, one may be concerned about the choice of dependent variables for the OLS estimation in Table 2.3, the sum of all inmates under a state’s jurisdiction in pri- vate facilities. In the appendix materials, I use my original dataset to construct two alternative dependent variables: the proportion of the state’s inmates in private fa- cilities (as compared to public prisons) and the sum of private state facilities. The results for the sum private facilities dependent variable are nearly identical - a slightly significant and positive relationship between the number of unionized corrections of- ficers and the number of private state facilities. The proportion of inmates in private facilities dependent variable is slightly different, however: budget gap per capita is negatively related to the proportion of inmates in private facilities, whereas the co- efficient on Republican Governor is positive. This means states with higher budget gaps per capita house a lower percentage of their inmates in private facilities and states with Republican governors and either split or Democratic legislatures house a higher proportion of their inmates in private facilities. Not only do the alternative dependent variables bolster the claims here, that the common explanations are not working as the theories suggest, but cast doubt on the conventional stories of these variables. Economically suffering states rely on private facilities at a lower percentage and states with either split or Democratic legislatures use privatization at a higher rate than unified Republican governments.
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