Date of Award
Open Access Master's Thesis
School of Social Science, Politics, and Evaluation
Dissertation or Thesis Committee Member
© 2020 Jordan J Ulloa
ALEC, Model legislation, NLP, Special interests, State policy
The following work seeks to examine the relationship between special interests, political parties, and major donors who help to fund certain types of interest group coalitions. Specifically, the work will seek to further understand the relationship between the American Legislative Exchange Council (ALEC), the groups funders, their ideology and relationship to political parties, and the impact these factors have on policy at the state level. Using a sample of 171 model bills drafted by ALEC, we utilize preliminary natural language processing methods to identify key topics existant in model bills and compare those to a sample of all legislation passed in the state of California between 1989 and 1991. We find preliminary results that suggest further application of supervised machine learning to begin to identify language in model legislation that appears in state legislatures. The proposed methods can begin to help scholars further expand on the relationship between donors, political parties, and the larger policy diffusion network that helps to ensure model legislation passes for the benefit of the coalition that seeks its implementation.
Ulloa, Jordan James. (2020). Model Legislation as a Measure of Special Interest Influence: The American Legislative Exchange Council and the Koch Network. CGU Theses & Dissertations, 425. https://scholarship.claremont.edu/cgu_etd/425.