Interface Between Risk Assessment and Economics: Economic Valuation Methods

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Interface Between Risk Assessment and Economics: Economic Valuation Methods

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Title: Interface Between Risk Assessment and Economics: Economic Valuation Methods


1
Interface Between Risk Assessment and Economics
Economic Valuation Methods
  • Presentation to IRAC Conference
  • Risk Assessment, Economic Analysis, and Foodborne
    Illness Regulations
  • Al McGartland, USEPA
  • November 16, 2007

The opinions in this presentation do not
necessarily represent those of EPA.
2
Evolution of Risk Assessment at EPA
  • beginnings of the field of risk assessment
  • emphasis on oral route per FDA precedent
  • adopt RA/RM paradigm
  • guidelines basic methodologies
  • data bases (IRIS)

1980s
  • new tools/data bases
  • refinement of existing tools
  • understanding mechanisms of
    action/interactions
  • ecological assessment

1990s
  • complex mixtures
  • sensitive subpopulations
  • non-linear dose-response
  • input into economic analysis

2000s
3
Roles of Risk Assessment
Risk Assessment
Risk Management
Risk Assessment - cancer - non-cancer
Policy Decision - standards - information
Protective
4
Roles of Risk Assessment
Risk Assessment
Risk Management

Risk Assessment - cancer - non-cancer
Policy Decision - standards - information
Protective
  • Economic Analysis
  • benefit-cost analysis
  • cost effectiveness
  • economic impacts

Predictive
5
Damage Function Approach
Environmental Concentrations
Exposure
Emissions
  • Benefits analysis draws upon results of other
    disciplines
  • Simplified linear process of benefits analysis,
    but there may be feedback loops
  • For example, changes in individual behaviors
    evaluated in the benefits box may have
    implications for emissions or exposure

Effects (dose-response)
Benefits ( for each effect)
6
From Risk Assessment to Economics
  • Should focus on well-defined health endpoints
    that have an effect on individual sense of
    well-being.
  • hormone level vs. hypothyroidism
  • Should be probabilities to represent the expected
    changes in risk to an individual
  • probabilities not thresholds
  • upper bound risk estimates
  • Should provide information on when risks change
    due to exposure changes
  • substantial lags between exposure and cancer

7
Health Science Inputs and Economic Valuation
  • Epidemiological data are preferred for valuation
    in policy analysis
  • observed health effects in humans
  • incorporates behavioral responses
  • Results from animal studies may be used
  • Cancer dose-response risk estimates are still
    usable although their applicability can be a
    concerns (e.g, upper-bound estimates)
  • Non-cancer risk assessment Reference doses and
    other measures that dont estimate probabilities
    cannot be utilized in benefits analysis

8
Cancer vs. Non-Cancer Benefits
9
Economic Analysis
Predictive Risk Assessment Data
Cost- Effectiveness Analysis
Benefit-Cost Analysis
Analytic Approach
Health Value Measure
Cost of Illness
Willingness to Pay
Quality Adjusted Life Years
Disability Adjusted Life Years
10
Economic Analysis
Predictive Risk Assessment Data
Cost- Effectiveness Analysis
Benefit-Cost Analysis
Analytic Approach
Health Value Measure
Cost of Illness
Willingness to Pay
Quality Adjusted Life Years
Disability Adjusted Life Years
11
Benefit-Cost Analysis
  • Simulates the private market test for public
    goods
  • BCA quantifies all benefits and costs of
    producing environmental protection
  • Consistent with private markets, the efficient
    outcome is the option that maximizes net benefits
  • BCA is, therefore, an efficiency test for the
    production of environmental protection
  • .

12
Benefits
  • Rules for determining the benefit, or value, of
    environmental protection are the same as those in
    the private market quantify the willingness to
    pay for the environmental commodity
  • Value is determined by what consumers are willing
    to pay for a commodity, not what the analyst
    believes the value to be
  • Economists look to see what values society places
    on environmental goods
  • Analysts do not assign their own values
  • Because environmental protection it is a public
    good, the benefits of a policy are the sum total
    of each affected individuals willingness to pay
    for the policy

13
Values for use in Benefit-Cost Analysis
  • Cost of illness ()
  • Each avoided health effect converted to
    -equivalent based on lost production and health
    care costs
  • lost production may include household production
  • Clearly defined and measurable
  • Limited measure
  • not necessarily based on individual preferences
  • incomplete, does not include pain and suffering
  • price of health care may not equal costs
  • generally, loosely, characterized as a lower
    bound on willingness to pay

14
Willingness to Pay
  • Willingness to Pay for risk reduction ()
  • Each avoided health effect converted to based
    on preferences of the individuals affected
  • Well-being is expressed in a general utility
    function Utility(health, all other goods)
  • Willingness to pay is...
  • Ones own WTP for ones own risk reduction
  • WTP for others may be included under strict
    conditions
  • Affected and constrained by income
  • willingness to pay includes ability to pay
  • Willingness to pay is not
  • A measure of on ex post compensation experiencing
    health effect
  • WTP is measured ex ante for risk reductions

15
Health Benefits Methods
  • Methods are based on where people appear to
    tradeoff risk and wealth
  • Hedonics
  • Wage-risk how much additional wages to workers
    require to take risky jobs?
  • Housing prices extra housing price for safer
    area or higher env. quality?
  • Averting Behaviors how much do individuals pay
    for safety devices and safer vehicles, etc.?
  • Stated Preference (Surveys) how much do
    individuals state they will pay for a specified
    risk reduction

16
Value of a Statistical Life (VSL)
  • The value of mortality risk reductions is often
    summarized by calculating the value of a
    statistical life or VSL
  • What is a statistical life?
  • Suppose a public policy were to reduce mortality
    risk by 1 in 10,000
  • If 10,000 were affected by this policy then,
    statistically, 1 death would be avoided
  • We have no idea before we implement the policy
    which life will be saved.
  • What is the Value of a Statistical Life (VSL)?
  • Derived from the value or WTP individuals place
    on a small change in risk

17
VSL Key Points
  • VSL estimates do NOT capture the value of an
    identifiable person
  • VSL estimates do NOT capture how much an
    individual would be willing to pay to save his
    own life with certainty or the life of a loved
    one
  • Instead, VSL estimates represent (or are derived
    from) individual willingness to pay for a SMALL
    change in the probability of dying

18
Example VSL Calculations
  • Suppose that each of 10,000 people were willing
    to pay 500 each for the 1 in 10,000 risk
    reduction
  • The value of that statistical life is the sum of
    the total of the individual amounts the 10,000
    people would pay for the risk reduction
  • Put more generally, the value of a statistical
    life is calculated
  • VSL WTP (1/risk reduction)
  • In our case this would amount to
  • VSL 500(1/(1/10,000)) 5,000,000

19
Issue VSL and Life Expectancy
20
Valuing changes in morbidity risk
  • Morbidity (illness) value of statistical
    illness based on WTP to reduce risks or avoid
    illness
  • We lack WTP estimates for many non-fatal
    illnesses
  • each illness is unique to some extent (severity,
    frequency, duration)
  • requires unique research or systematic
    extrapolation from others
  • EPA policy and practice
  • No set values for particular illness
  • Often use WTP values for similar illnesses
  • Non-fatal bladder cancer use range based on WTP
    per statistical chronic bronchitis (600,000) to
    non-fatal lymphoma (3 million)
  • Cost-of-illness methods can be difficult
  • Reporting is censored. Likely that many minor
    illnesses are never seen by physician.

21
Additional Considerations (WTP)
  • Equity Considerations
  • WTP is related to income
  • What if studies demonstrate the elderly have
    lower VSL?
  • recent results suggest health status has little
    effect on valuing mortality risks
  • Economic criticisms
  • sensitive to risk perceptions
  • does not include peoples WTP for risk reductions
    to other people
  • Dollar terms can be compared directly to costs
  • Very flexible theoretically...
  • incorporates broad range of health effects
  • can incorporate context (source of risk)

22
Issue Timing of Exposure changes and risk
reductions
  • The timing of risk reductions matters for the
    value of benefits
  • Generally, risk reduction like any economic good
    is preferred sooner rather than later (time
    discounting)
  • Also, the shorter the cessation lag
  • The more cases are avoided (or lives saved)
    over the life of the rule or the analysis
  • The fewer deaths from other causes before the
    benefit is realized
  • These data are not often part of the risk
    assessment

23
Impact of Cessation Lags on Benefits
A
B
C
D
24
Cost Effectiveness Analysis
  • Benefits are not measured in non-monetary units
  • Ranks alternatives by per unit,
  • may determine the best alternative, but cannot
    determine if any of the alternatives should be
    done.
  • For mortality risks typical units
  • Lives saved gt rank by per life saved
  • Life years gt rank by per life-year saved
  • Neither of these measures accomodates non-fatal
    illnesses
  • Cost-effectiveness cannot accommodate mortality
    and morbidity unless they are combined into some
    common measure
  • Quality Adjusted Life Years (QALYs) combine fatal
    and non-fatal illnesses into one measure

25
QALYs for Cost-Effectiveness
  • Quality-Adjusted Life Years (QALYs)
  • health conceptualized as having two dimensions
  • longevity (years)
  • health-related quality of life
  • outcome is total years weighted by quality in
    each year
  • well-being is defined by health profile over time
  • Utility U(Quality, longevity)
  • wealth does not enter into this framework

26
Quality-Adjusted Life Years (QALYs)
  • Assume a policy extends the baseline health
    profile (white)
  • The gain in QALYs is shown in gray
  • Quality years at that quality
  • Note the risk assessment requirements a profile
    of expected future health outcomes and time in
    each health state

27
Additional Considerations (QALYs)
  • Equity considerations
  • interventions for young preferred to
    interventions for old
  • Young have more life years remaining
  • life extensions for healthy preferred to life
    extensions to less-healthy
  • Healthy have a higher quality than chronically
    ill
  • Economic criticisms
  • assumptions are restrictive and may not reflect
    actual preferences
  • concern about quality of surveys (data)
  • How to deal with non-health effects (e.g.,
    environmental) from the policy in a
    cost-effectiveness framework

28
WTP QALY Some Conceptual Comparisons
29
Concluding Thoughts
  • Economics offers tools for risk management
  • Risk assessment must be predictive to support
    economic analysis
  • This kind of risk assessment is being actively
    pursued
  • There are two widespread economic approaches to
    valuing changes to health and risk benefit-cost
    analysis and cost-effectiveness analysis
  • Benefit-cost analysis and cost-effectiveness
    analysis approaches use very different metrics to
    assess the value of risk changes
  • BCA and CEA will not necessarily point to the
    same policy or standard.
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