Private Prison Levels Sample Clauses

Private Prison Levels. None of the variables hypothesized by the literature contribute to the likelihood a state adopts private prisons for the first time, except for fiscal stress. The next step15 is to evaluate how these same factors contribute to the overall level of prison privatization in a state. I estimate an OLS model, in Equation 2.1, with time and state fixed effects16 to control for any individual heterogeneity longitudinally and among the states that do not change over time, analyzes how the four variables suggested by the literature - partisanship, economics, campaign contributions, and unionization - affect changes in the number of their inmates in private facilities. 15Another option is to estimate a hurdle model, also known as a two-part model, which requires the dependent variable to be a count and relaxes the assumption that the zeros and positive counts in the data come from the same data-generating process (Cameron and Trivedi 2008). In spirit, this definitively reflects the two-step process described above, but the model is generally not parsimonious as the number of parameters to be estimated is typically doubled (Cameron and Trivedi 2008). Finally, a hurdle model restricts the dependent variable to be a strict count. This model would not allow me to explore the trade-off of allocating more inmates to private versus public facilities.‌ 16I also cluster the standard errors by state. yi,t = αi + δt + +β1(Republican Governor)i,t + β2(Republican Control)i,t+ β3(Republican Governor * Republican Control)i,t + β4(Budget Gap Per Capita)i,t+ β5(Unionized Corrections Officers)i,t + γXi,t + ϵi,t
Sample 1
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