Date of Award
5-8-2018
Document Type
Thesis
Degree Name
Political Science, MA
First Advisor
Donna Handley
Committee Members
Amy Buzby; Cameron Wimpy
Call Number
LD251.A566t 2018 N43
Abstract
Kittenomics is a logical, rational framework for the tracking and evaluation of economic indicators in the municipal animal sheltering industry. The framework was developed as a model of how spending can be discretely quantified, operationalized and analyzed. In addition to establishing this model framework, the impact of live outcome best practices on the economic model is also discussed. The final contribution of my thesis explores an empirical dataset to evaluation the relationship between agency spending and live outcomes. While not focused on predictive powers, the regression model makes the case for the collection of absent data that is critical to future policy and procedural changes in this sizable industry. The goal of my thesis is to create a model for economic data collection in the rapidly changing animal sheltering industry with ramifications for both the public policy maker and the public administrator as well as the animals and public they serve.
Rights Management
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Neal, Sue Marie, "Kittenomics: Modeling Economics and Outcomes in the Municipal Animal Shelter" (2018). Student Theses and Dissertations. 514.
https://arch.astate.edu/all-etd/514
