Wilson, WesleyClinton, Chelsea2012-10-262012-10-262012https://hdl.handle.net/1794/12390I estimate two models of consumer health insurance choices where individual attributes and e.g., income, age, gender, cost, etc. affect qualification for specific programs e.g., Medicaid and Medicare, but also affect the choices individuals make. From these results, I assess how these attributes affect health insurance choices using the 2008 Medical Expenditure Panel Survey. I then use these results to predict how individual health insurance choices change with the implementation of the Patient Protection and Affordable Care Act (ACA) in 2014. My predictions estimate that more 50 percent of those who become eligible for Medicaid under ACA will switch to Medicaid or choose to have both Private and Medicaid insurance.en-USAll Rights Reserved.Affordable Care ActHealth insuranceLogit modelElectronic Thesis or Dissertation