Title: Demand for Medical Services Part 2
1Demand for Medical ServicesPart 2
- Health EconomicsProfessor Vivian HoFall 2007
These notes draw from material in Santerre
Neun, Health Economics, Theories, Insights and
Industry Studies. Thomson 2004
2Outline
- Empirical estimates of demand from the literature
- Practice problems
- The RAND Health Insurance Experiment
- Example Interpreting results from a regression
on abortion demand
3Estimating Demand for Medical Care
- Quantity demanded f( )
- out-of-pocket price
- real income
- time costs
- prices of substitutes and complements
- tastes and preferences
- profile
- state of health
- quality of care
4Empirical Evidence
- Demand for primary care services (prevention,
early detection, treatment of disease) has been
found to be price inelastic - Estimates tend to be in the -.1 to -.7 range
- A 10 ? in the out-of-pocket price of hospital or
physician services leads to a 1 to 7 decrease in
quantity demanded - Ceteris paribus, total expenditures on hospital
and physician services increase with a greater
out-of-pocket price
5Empirical Evidence (cont.)
- Demand for other types of medical care is
slightly more price elastic than demand for
primary care - Consumers should be more price sensitive as the
portion of the bill paid out of pocket increases
6Out-of-Pocket Payments in the U.S.
- Hypothesis Consumers are more price
sensitive if they pay a larger of the health
care bill - The fall in the of out-of-pocket payments may
explain the rapid rise in health care costs
7Out-of-Pocket Payments in the U.S.
Total Expenditures and Paid Out-of-Pocket, 2004
- Hypothesis Consumers are more price
sensitive if they pay a larger of the health
care bill - Higher hospital and physician expenditures may be
due to the low paid out-of-pocket
8Out-of-Pocket Payments in the U.S. (cont.)
- The previous 2 slides argue that
- ? insurance coverage ? ? expenditures
- But it may be the opposite
- ? expenditures ? ? insurance coverage.
- We cannot identify a causal effect using just
this data
9Empirical Evidence (cont.)
- Studies which have examined price and quantity
variation within service types have found that - The price elasticity of demand for dental
services for females is -.5 to -.7 - The own-price elasticity of demand for nursing
home services is between -.73 and -2.4
10Empirical Evidence (cont.)
- At the individual level, the income elasticity of
demand for medical services is below 1.0 - The travel time elasticity of demand is almost as
large as the own-price elasticity of demand - Little consensus on whether hospital care and
ambulatory physician services are substitutes or
complements
11International Estimates of Income Elasticity
- Are health care expenditures destined to consume
a larger portion of GDP as GDP grows?
12 Applying Demand Theory to Real Data
- Demand analyses in health care must take
insurance into account
- Demand analyses are critical in shaping
managerial and public policy decisions
13 The Rand Health Insurance Experiment
- A large, social science experiment to study
individuals medical care under insurance - A large sample of families were provided
differing levels of health insurance coverage - Researchers then studied their subsequent health
care use
14 The Sample
- 5,809 individuals, under 65
- 6 sites (Dayton OH, Seattle WA, Fitchburg MA,
Charlston SC, Georgetown County SC, Franklin
County MA) - 1974 1977
- Cost 80 million
15 Insurance Plans in the Experiment
1. Free fee-for-service (FFS). - i.e., no
coinsurance 2. 25 copayment per physician
visit 3. 50 copayment per physician visit 4.
95 copayment per physician visit
16 Insurance Plans in the Experiment
5. Individual deductible - 150 deductible
for physician visits all subsequent visits
free 6. HMO - Not the same as free
fee-for-service - Since HMO receives a fixed
annual fee, it seeks to limit physician visits
17 Table 3.3. Sample Means for Annual Use of
Medical Services per Capita
Plans Face-to- Outpatient Inpatient
Total Probability Face
Visits Expenses Dollars Expenses
Using Any
(1984 ) (1984 ) (1984 ) Medical
Service Free 4.55 340
409 749
86.8 25 3.33 260 373 634
78.8 50 3.03 224 450 674
77.2 95 2.73 203 315 518
67.7 Individual deductible 3.02 235
373 608 72.3
The chi-square test was used to test the null
hypothesis of no difference among the five plan
means. In each instance, the chi-square statistic
was significant to at least 5 percent level. The
only exception was for inpatient dollars Source
Willard G. Manning et al. Health Insurance and
the Demand for Medical Care Evidence from a
Randomized Experiment, American Economic Review
77 (June 1987), Table 2
18 Results (cont.)
- No statistically significant difference in
inpatient (hospital) expenses by insurance type - Does NOT necessarily imply inelastic demand for
hospital services - Experiment included 1,000 cap on out-of-pocket
medical expenses 70 of hospital admissions
costs 1,000
19 Results (cont.)
- As consumers copayments drop, demand for medical
care becomes more price inelastic - The data confirms the theory
20 Results (cont.)
- HMO patients cost 30 less than FFS patients on
average - HMOs do save money relative to FFS
21 Health Implications
22 Health Implications (cont.)
- Poor adults (lowest 20 of income distribution)
with high blood pressure experienced clinically
significant improvement under free FFS plan, but
not in cost sharing plan
- Similar findings for myopia, dental health
- Free FFS only improves health outcomes in 3
specific cases versus cost-sharing
- If want to restrain costs and maintain health,
targeted programs at these 3 health problems is
more cost-effective than free care for all
services
23 Was it worth it?
- Rand Health Insurance Experiment cost 80 million
- Initial results published in 1981
- Government sponsored studies often yield
important knowledge for business
24 Economically Objective Data on Abortion
- Is the choice of abortion responsive to economic
factors?
- Medoff ( 1988)
- Sample state-level data from 1980
- Model the demand for abortion as a function of
price and other relevant factors
25 An Economic Analysis of the Demand for Abortion
(Medoff, 1988)
A - 207.780 - 0.924P 0.031Y 4.194SNGL
4.456LFP (1.41) (3.22)
(3.31) (1.74) (2.57)
18.287W 1.207CATH 43.775M (1.74)
(1.50) (2.12) R2 .77 N
50 Where A Number of abortion per 1,000
pregnancies of women of childbearing age (15-45)
P Price of an abortion
Y Average income SNGL
Percentage of woman who are single
LFP Labor force participant rate
W Dummy variable to control for women in
western states CATH Percentage of
Catholic population in each state
M Dummy variable to control for states that
provide Medicaid funding of abortions
26 Economically Objective Data on Abortion
- Income variable positive and statistically
significant - Implied income elasticity of demand 0.79
27 Economically Objective Data on Abortion (cont.)
- SNGL and LFP positive and statistically
significant - Single and working women have higher opportunity
cost of time from raising children
28Conclusions
- Our economic model of demand provides hypotheses
that we can test with real data - Although it is difficult to measure the quantity
of medical services demanded and economic
variables, both price and income effects are
important determinants of the demand for medical
care