Thesis - Open Access
Master of Science (MS)
Copula Regression, Emergency Department, Endogeneity, Instrumental Variable, Medicaid, Monte Carlo simulation
This thesis paper strives to identify the relationship between Medicaid expansion and Emergency Department use. I use a Monte Carlo simulation for demonstrating the endogeneity problem and a copula model using the Oregon Health Program (OHP) data to show the previous literature has exaggerated the causal relation between Medicaid expansion and Emergency Department use. This paper can be divided into two parts. First, it tries to focus on the under-identification of multiple endogenous variables problem in typical econometrics papers, where researchers correct for a single endogenous variable but intentionally or unintentionally ignore the endogeneity of one or more other independent regressors. So, the motivation for first part of this thesis comes from the fact that the previous literature does correct the multiple endogeneity issue. Second, I endeavored to solve this under-identification problem of multiple endogeneity by incorporating a copula regression, along with OLS and 2SLS. The new approach to solve the under-identification problem is a copula method where we have flexibility of using different distribution methods to choose the best one. Using a copula method, we have found that Medicaid does indeed increase the emergency department use, however, not at the rate as the previous literature showed. This is the major contribution of this thesis
Number of Pages
South Dakota State University
In Copyright - Educational Use Permitted
Fourkan, Md, "Does Medicaid Increase Emergency Room Use: Evidence from Oregon Health Program?" (2019). Electronic Theses and Dissertations. 3650.