Table of Contents
How Does the Market Value Healthcare Liabilities?
Natalia Aranco, Watson Wyatt Worldwide
Rodrigo Lluberas, Watson Wyatt Worldwide
Who is at Risk of Losing and Gaining Health Insurance?
Robert W. Fairlie, University of California, Institute for the Study of Labor (IZA), RAND Corporation
Rebecca A. London, Stanford University
Sources of Health Insurance and Characteristics of the Uninsured: Analysis of the March 2008 Current Population Survey
Paul Fronstin, Employee Benefit Research Institute (EBRI)
Employee Choice of Flexible Spending Account Participation and Health Plan
Barton H. Hamilton, Washington University, St. Louis - John M. Olin School of Business
James Marton, Georgia State University, Andrew Young School, Department of Economics
A Dynamic Analysis of the Demand for Health Insurance and Health Care
Jonneke Bolhaar, Free University of Amsterdam - Department of Economics
Maarten Lindeboom, Free University of Amsterdam - Department of Economics, Tinbergen Institute Amsterdam, Institute for the Study of Labor (IZA)
Bas van der Klaauw,
Free University of Amsterdam - Department of Economics, Centre for
Economic Policy Research (CEPR), Institute for the Study of Labor (IZA)
Disability Rights, Disability Discrimination, and Social Insurance
Mark C. Weber, DePaul University College of Law
Forecasting the Cost of U.S. Health Care in 2040
Robert W. Fogel, University of Chicago - Graduate School of Business, National Bureau of Economic Research (NBER)
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EMPLOYEE BENEFITS, COMPENSATION & PENSION LAW ABSTRACTS
"How Does the Market Value Healthcare Liabilities?" ![Free Download]()
Watson Wyatt Technical Paper No. IND8013
NATALIA ARANCO, Watson Wyatt Worldwide
Email: natalia.aranco@watsonwyatt.com
RODRIGO LLUBERAS, Watson Wyatt Worldwide
Email: rodrigo.lluberas@eu.watsonwyatt.com
The aim of this paper is to analyze the effect of medical health
benefits liabilities on firms' share prices. First, we find that
investors tend to over-react to healthcare obligations, with a one
percent increment in healthcare liabilities leading to a more than one
per cent decline in the market value of firms' equity. Secondly, as
real market values cannot be measured without error, differences
between market and firms' own valuations are to be expected. For
healthcare obligations, however, the particular set of assumptions used
in their estimation could intensify this disparity. To test this
possibility, we try to measure the degree of market reliability in
financial information provided by companies in their balance sheet. We
find evidence to support the fact that other post-retirement employee
benefits (OPEB) estimations are not as reliable as accounting measures
for pension.
"Who is at Risk of Losing and Gaining Health Insurance?" ![Free Download]()
ROBERT W. FAIRLIE, University of California, Institute for the Study of Labor (IZA), RAND Corporation
Email: rfairlie@ucsc.edu
REBECCA A. LONDON, Stanford University
Email: rlondon@stanford.edu
In this study, we examine annual transitions into and out of
health insurance coverage using matched data from the 1996 to 2004
Current Population Survey (CPS). We find evidence of several
characteristics that are strongly associated with the likelihood of
losing or gaining health insurance including race, education,
unemployment, part-time employment status, employment size, and
self-employment.
"Sources of Health Insurance and Characteristics of the Uninsured: Analysis of the March 2008 Current Population Survey" ![Free Download]()
EBRI Issue Brief, No. 321, September 2008
PAUL FRONSTIN, Employee Benefit Research Institute (EBRI)
Email: FRONSTIN@EBRI.ORG
This paper examines the status of health insurance coverage
in the United States. Based on EBRI estimates from the U.S. Census
Bureau's March 2008 Current Population Survey (CPS), it reflects 2007
data. It also discusses trends in coverage for the 1994-2007 period and
highlights characteristics that typically indicate whether an
individual is insured. Specifically, the paper discusses recent trends
in health insurance coverage and some of their causes; the determinants
of having employment-based or other types of health insurance coverage;
the uninsured population and the factors associated with being
uninsured; and policy implications. The final section of the report
presents conclusions. Data sources are discussed in the appendix.
The
data are based primarily on the March 2008 Current Population Survey
(CPS), with some analysis based on other Census surveys. The report
focuses on the nonelderly population (under age 65) because this group
can receive health insurance coverage from a number of different
sources. The estimates presented in this report focus solely on the
nonelderly and differ from those published by the Census Bureau. The
nonelderly focus here is because Medicare covers nearly all of the
elderly population. As a result of this difference between EBRI and
Census Bureau estimates, this report shows a higher percentage of
uninsured in the United States.
"Employee Choice of Flexible Spending Account Participation and Health Plan" ![Free Download]()
Andrew Young School of Policy Studies Research Paper Series No. 08-23
BARTON H. HAMILTON, Washington University, St. Louis - John M. Olin School of Business
Email: Hamiltonb@olin.wustl.edu
JAMES MARTON, Georgia State University, Andrew Young School, Department of Economics
Email: marton@gsu.edu
Despite the fact that flexible spending accounts (FSAs) are
becoming an increasingly popular employer-provided health benefit,
there has been very little empirical study of FSA use among employees
at the individual level. This study contributes to the literature on
FSAs through the use of a unique dataset that provides three years of
employee-level matched benefits data. Motivated by the theoretical
model of FSA choice presented in Cardon and Showalter (2001), we
examine the determinants of FSA participation and contribution levels
using cross sectional and random effect two part models. FSA
participation and health plan choice are also modeled jointly in each
year using conditional logit models. We find that, even after
controlling for a number of other demographic characteristics,
non-whites are less likely to participate in the FSA program, have
lower contributions conditional on participation, and have a lower
probability of switching to new lower cost share, higher premium plans
when they were introduced. We also find evidence that choosing health
plans with more expected out-of-pocket expenses is correlated with use
of the FSA program.
"A Dynamic Analysis of the Demand for Health Insurance and Health Care" ![Free Download]()
Tinbergen Institute Discussion Paper No. 2008-084/3
JONNEKE BOLHAAR, Free University of Amsterdam - Department of Economics
Email: jbolhaar@feweb.vu.nl
MAARTEN LINDEBOOM, Free University of Amsterdam - Department of Economics, Tinbergen Institute Amsterdam, Institute for the Study of Labor (IZA)
Email: mlindeboom@econ.vu.nl
BAS VAN DER KLAAUW, Free
University of Amsterdam - Department of Economics, Centre for Economic
Policy Research (CEPR), Institute for the Study of Labor (IZA)
Email: klaauw@tinbergen.nl
We investigate the presence of moral hazard and advantageous or adverse
selection in a market for supplementary health insurance. For this we
specify and estimate dynamic models for health insurance decisions and
health care utilization. Estimates of the health care utilization
models indicate that moral hazard is not important. Furthermore, we
find strong evidence for advantageous selection, largely driven by
heterogeneity in education, income and health preferences. Finally, we
show that ignoring dynamics and unobserved fixed effects changes the
results dramatically.
"Disability Rights, Disability Discrimination, and Social Insurance" ![Free Download]()
Georgia State Univeristy Law Review, Vol. 25, 2009
MARK C. WEBER, DePaul University College of Law
Email: mweber@depaul.edu
This paper asks whether statutory social insurance programs,
which provide contributory tax-based income support to people with
disabilities, are compatible with the disability rights movement's
ideas. Central to the movement that led to the Americans with
Disabilities Act is the insight that physical or mental conditions do
not disable; barriers created by the environment or by social attitudes
keep persons with physical or mental differences from participating in
society as equals.
The
conflict between the civil rights approach and insurance seems
apparent. A person takes out insurance to deal with tragedy, such as
premature death, or damage, such as accidental harm to an automobile or
home. Social insurance, for example, the United States Social Security
old-age and disability programs, consists of government-run insurance
to cover risks of advanced age and disability for which the private
market has not provided affordable coverage. But the civil rights
approach to disability posits that disability is not a risk, not
tragedy, and not a damage or defect. Instead it is a maladaptation of
society to human variation.
This paper argues that a
justification remains for social insurance under the civil rights
approach to disability, and further suggests that expansion of social
insurance for disability is both compatible with disability rights
principles and supported by wise public policy.
"Forecasting the Cost of U.S. Health Care in 2040" ![Fee Download]()
NBER Working Paper No. W14361
ROBERT W. FOGEL, University of Chicago - Graduate School of Business, National Bureau of Economic Research (NBER)
Email: rwf@cpe.uchicago.edu
One of the most important debates among health economists in
rich nations is whether advances in biotechnology will spare their
health care systems from a financial crisis. We must consider that
prevalence rates of chronic diseases declined during the twentieth
century and that this rate of decline has accelerated. However, health
care costs may continue to increase even as the age of onset of chronic
diseases is delayed, because the proportion of a cohort living to late
ages will increase. The accelerating decline in the prevalence of
chronic diseases during the course of the twentieth century supports
the proposition that increases in life expectancy during the
twenty-first century will be fairly large, but the effect on health
care in the U.S. will be modest. The income elasticity for health
services is calculated at 1.6, meaning that income expenditures on
health care in the U.S. are likely to rise from a current level of
about 15 percent to about 29 percent of GDP in 2040.
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