Expanding Health Insurance to Millions: Learning from the Oregon Health Insurance Experiment

×
×
Price:
$3.95
Quantity:
Quantity:

Educator Access
A review copy of this case is available free of charge to educators and trainers. Please create an account or sign in to gain access to this material.

Permission to Reprint
Each purchase of this product entitles the buyer to one digital file and use. If you intend to distribute, teach, or share this item, you must purchase permission for each individual who will be given access. Learn more about purchasing permission to reprint.

  • Product Description

    Abstract:
    In 2008, the state of Oregon had the budget to enroll 10,000 individuals into Medicaid. But officials knew that demand for Medicaid would be far greater. To give all poor, uninsured Oregonians a fair chance at receiving health insurance, the state established a lottery. In this simple lottery, renowned economists Katherine Baicker (at Harvard) and Amy Finkelstein (at MIT) found a rare and promising natural experiment,

    For decades, evidence on the impacts of health insurance on health was dominated by observational studies, which offered inconclusive answers. Under the Oregon lottery, some individuals were randomly selected from a waiting list to receive insurance while others were not, enabling comparison between the two groups, and in effect creating a randomized experiment. The Oregon health experiment, as it came to be known, would finally give economists and policymakers rigorous evidence on how access to health insurance affected the provision and use of health care, and ultimately, influenced the health and well-being of the population. By 2016, as part of the Patient Protection and Affordable Care Act, an estimated 25 million Americans were set to obtain health insurance, 12 million under Medicaid alone; driving home the need to find conclusive answers to these longstanding questions.

    Learning Objective:
    This case explores the links between health, health care and health insurance. By analyzing the conflicting observational evidence on health insurance, students gain a deep understanding of merits and limitations of observational studies. Students learn about the fundamentals of rigorous research and how to draw policy implications from such research. Statistics faculty might find the exhibits and appendix useful to teach concepts like regression analysis, instrumental variables etc.

  • Other Details

    Publication Date: May 22, 2014
    Teaching Plan: Available with Educator Access
    HKS Case Number: 2019.0
    Case Author: Anjani Datla and Emily Myers
    Faculty Lead: Amitabh Chandra
    Pages (incl. exhibits): 17
    Setting: United States
    Language: English
    Funding Source: Joseph B. Tompkins, Jr. Fund for Case Study and Research
    _year: 2010-2015
    _pages: 16-25
    _geography: US & Canada
  • Warranty Information

    /review/2019.0.EducatorCopy.pdf, /teachingplan/2019.2.pdf

×
×