|
on Insurance Economics |
Issue of 2013‒02‒03
three papers chosen by Soumitra K Mallick Indian Institute of Social Welfare and Business Management |
By: | Lara Shore-Sheppard (Williams College); John Ham (University of Maryland); Serkan Ozbeklik (Claremont McKenna College) |
Abstract: | We use a switching probit model and the income-limit-based structure of Medicaid eligibility for children to estimate treatment effects of Medicaid expansions not found in existing work on public insurance. In particular, we estimate rates of Medicaid take-up, private insurance coverage, and crowd-out for the currently eligible overall and for different demographic groups, and we estimate corresponding rates for children made eligible by a counterfactual nonmarginal increase in the Medicaid income limits. We find strikingly different rates across demographic groups, with individuals in traditionally less disadvantaged groups having a considerably lower response to the coverage for which they are eligible. |
Keywords: | Medicaid expansions, take-up, crowd-out, treatment effects, switching probit model, counterfactual policy analysis |
Date: | 2012–11 |
URL: | http://d.repec.org/n?u=RePEc:wil:wileco:2012-07&r=ias |
By: | Alex R. Horenstein (School of Business, ITAM); Manuel S. Santos (Department of Economics, University of Miami) |
Abstract: | This paper is concerned with growth patterns of US health care expenditures. Within a representative sample of OECD countries, we lay out a growth accounting exercise for health care expenditures to assess the influence of several explanatory variables. Our analysis demonstrates that the relative price of medical care and some health care laws can trace down fairly well the differential increase in US medical expenditures over the period 1970-2007. We then explore some major factors driving US medical care prices - including prescription drugs, the degree of competition, malpractice, and out-of-pocket expenditures. Some other explanatory variables - income growth, technological change, life expectancy, physicians' compensation, trends in aging population, and defensive medicine - would seem unable to account for the differential increase in US medical expenditures over various time periods. |
Keywords: | Health care expenditures, relative price of medical care, growth accounting, price elasticity, technological change, malpractice |
JEL: | I10 I11 I18 E31 |
Date: | 2012–12–29 |
URL: | http://d.repec.org/n?u=RePEc:mia:wpaper:2013-05&r=ias |
By: | John L. Czajka |
Keywords: | Income Eligibility, Affordable Care Act; ACA, Nonelderly Adults, Health |
Date: | 2013–01–30 |
URL: | http://d.repec.org/n?u=RePEc:mpr:mprres:7643&r=ias |