In April 2006, Massachusetts passed legislation aimed at achieving near-universal health insurance coverage. The key features of this legislation were a model for national health reform, passed in March 2010. The reform gives us a novel opportunity to examine the impact of expansion to near-universal coverage state-wide. Among hospital discharges in Massachusetts, we find that the reform decreased uninsurance by 36% relative to its initial level and to other states. Reform affected utilization by decreasing length of stay, and the number of inpatient admissions originating from the emergency room. When we control for patient severity, we find evidence that preventable admissions decreased. At the same time, hospital cost growth did not increase. AbstractIn April 2006, Massachusetts passed legislation aimed at achieving nearuniversal health insurance coverage. The key features of this legislation were a model for national health reform, passed in March 2010. The reform gives us a novel opportunity to examine the impact of expansion to near-universal coverage state-wide. Among hospital discharges in Massachusetts, we find that the reform decreased uninsurance by 36% relative to its initial level and to other states. Reform affected utilization by decreasing length of stay, the number of inpatient admissions originating from the emergency room, and preventable admissions. At the same time, hospital cost growth did not increase.

Traditional models of insurance choice are predicated on fully informed and rational consumers protecting themselves from exposure to financial risk. In practice, choosing an insurance plan from a set of complex non-linear contracts is a complicated decision often made without full information on several potentially important dimensions. In this paper we combine new administrative data on health plan choices and claims with unique survey data on consumer information and other typically unobserved preference factors in order to separately identify risk preferences, information frictions, and perceived plan hassle costs. The administrative and survey data are linked at the individual level, allowing in-depth investigations of the links between these micro-foundations in both descriptive and choice-model based analyses. We find that consumers lack information on many important dimensions that they are typically assumed to understand, perceive high plan hassle costs, and make choices that depend on these frictions. Moreover, in the context of an expected utility model, including the additional frictions that we measure has direct implications for risk preference estimates, which are typically assumed to be the only source of persistent unobserved preference heterogeneity in such models. In our setting, we show that incorporating measures of these frictions leads to meaningful reductions in estimated consumer risk aversion. This result has both positive and normative implications since risk aversion generally has different welfare implications than information frictions. We assess the welfare impact of a counterfactual menu design and find that the welfare loss from risk exposure when additional frictions are not taken into account is more than double that when they are, illustrating the potential importance of our analysis for policy decisions.

Measuring consumer responsiveness to medical care prices is a central issue in health economics and a key ingredient in the optimal design and regulation of health insurance markets. We leverage a natural experiment at a large self-insured firm that required all of its employees to switch from an insurance plan that provided free health care to a nonlinear, high-deductible plan. The switch caused a spending reduction between 11.8% and 13.8% of total firm-wide health spending. We decompose this spending reduction into the components of (i) consumer price shopping, (ii) quantity reductions, and (iii) quantity substitutions and find that spending reductions are entirely due to outright reductions in quantity. We find no evidence of consumers learning to price shop after two years in high-deductible coverage. Consumers reduce quantities across the spectrum of health care services, including potentially valuable care (e.g., preventive services) and potentially wasteful care (e.g., imaging services). To better understand these changes, we study how consumers respond to the complex structure of the high-deductible contract. Consumers respond heavily to spot prices at the time of care, reducing their spending by 42% when under the deductible, conditional on their true expected end-of-year price and their prior year end-of-year marginal price. There is no evidence of learning to respond to the true shadow price in the second year post-switch.

Measuring consumer responsiveness to medical care prices is a central issue in health economics and a key ingredient in the optimal design and regulation of health insurance markets. We study consumer responsiveness to medical care prices, leveraging a natural experiment that occurred at a large self-insured firm which required all of its employees to switch from an insurance plan that provided free health care to a non-linear, high deductible plan. The switch caused a spending reduction between 11.79%-13.80% of total firm-wide health spending. We decompose this spending reduction into the components of (i) consumer price shopping (ii) quantity reductions and (iii) quantity substitutions, finding that spending reductions are entirely due to outright reductions in quantity. We find no evidence of consumers learning to price shop after two years in high-deductible coverage. Consumers reduce quantities across the spectrum of health care services, including potentially valuable care (e.g. preventive services) and potentially wasteful care (e.g. imaging services). We then leverage the unique data environment to study how consumers respond to the complex structure of the high-deductible contract. We find that consumers respond heavily to spot prices at the time of care, and reduce their spending by 42% when under the deductible, conditional on their true expected end-of-year shadow price and their prior year end-of-year marginal price. In the first-year post plan change, 90% of all spending reductions occur in months that consumers began under the deductible, with 49% of all reductions coming for the ex ante sickest half of consumers under the deductible, despite the fact that these consumers have quite low shadow prices. There is no evidence of learning to respond to the true shadow price in the second year post-switch.

The payment approach known as "pay-for-performance" has been widely adopted with the aim of improving the quality of health care. Nonetheless, little is known about how to use the approach most effectively to improve care. We examined the effects in 260 hospitals of a pay-for-performance demonstration project carried out by the Centers for Medicare and Medicaid Services in partnership with Premier Inc., a nationwide hospital system. We compared these results to those of a control group of 780 hospitals not in the demonstration project. The performance of the hospitals in the project initially improved more than the performance of the control group: More than half of the pay-for-performance hospitals achieved high performance scores, compared to fewer than a third of the control hospitals. However, after five years, the two groups' scores were virtually identical. Improvements were largest among hospitals that were eligible for larger bonuses, were well financed, or operated in less competitive markets. These findings suggest that tailoring pay-for-performance programs to hospitals' specific situations could have the greatest effect on health care quality.