BC Ratio Analysis

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    Overview

    General background on Benefit-CostAnalysis (BCA)

    Economic principles Political and scientific realities

    The Safe Drinking Water Act

    (SDWA) and BCA Setting standards prior to 1996

    The 1996 SDWA Amendments

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    Overview (cont.)

    Issues in estimating benefits

    Awwa Research Foundation project

    Provides conceptual foundation

    Practical numeric illustrations

    Exposure => Risk => $ Values

    Focus on variability and uncertainty

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    What Is BCA Anyway,

    and How Can It Help? Tool for systematically comparing

    pros and cons

    Identifyall relevant benefits and costs

    Quantify(or describe qualitatively) allbenefits and costs

    Monetize(or apply another metric) todirectly compare benefits to costs

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    What Is BCA Anyway? (cont.)

    Objective is to promote commonsense

    Do benefits exceed costs? Net social benefits are positive: B - C > 0

    Society is no worse off (break even)

    Are net social benefits maximized? Choose the wisest investments

    MB = MC (incremental BCA)

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    Why All the Fuss over BCA? (cont.)

    For proponents: BCA viewed as a saviorof rationality

    Systematic way to impose sanity into theregulatory process

    BCA misperceived by some as

    providing a definitive decision rule Clear-cut and irrefutable outcomes

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    Where Does the Truth Reside

    about BCA? BCA is a very usefultoolto inform

    and guide decisions

    BUT it is not a ruleby which decisionscan or should always be made

    Objective BCAs support verystringent standards in some cases,and less stringent standards in others

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    How Were Standards Set Prior to

    the 1996 Amendments? Establish risk-free health goals: MCLGs

    MCLGs typically = zero Set enforceable MCLs as close to MCLG

    as technically feasible (taking costs

    into consideration) No ability to take benefits into account

    in how stringently MCLs wereestablished

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    Consequences of the Old Approach

    MCL- invested costs did not alwaysmaximize public health protection

    benefits High variability in costs incurred per

    unit of health benefit, depending on:

    Contaminants regulated

    Level at which MCLs are set

    System size categories

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    Variability in Cost

    per Cancer Avoided

    $0

    $100

    $200

    $300

    $400

    $500

    $600

    $700

    $800

    $900

    $1,000

    25-100 101-500 501-3,300 3,301-10,000 >10,000

    CostPerCaseAvoided(m

    illions)

    DichloromethanePentachlorophenol1,2-DichloropropaneEDB

    System Size (persons served)

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    What Do the 96 Amendments

    Require? EPA conduct and publish a BCA for

    every proposed and final rule

    Focus on how health risk reductionbenefits compare to costs

    EPA Administrator signs a

    determination that benefits justifythe costs

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    What Do the 96 Amendments

    Allow? If benefits do not justify the

    costs . . .

    The Administrator may use BCAresults to set an MCL at a level otherthan what is technically feasible

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    Benefits: Conceptual

    Underpinnings Benefits arise from series of causal links

    Occurrence =>Exposure =>Toxicity =>Quantify => Monetize ($ Values)

    Conceptual and empirical challenges ariseat each step

    Components need to be integrated intomeaningful whole Uncertainties are propagated,

    compounded

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    Conceptual Underpinnings (cont.)

    AwwaRF project recently completed

    Conceptual and empirical approaches

    Focus on variabilities and uncertainties

    Practical numeric illustrations for MTBE

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    Causal Links in Benefits

    Benefits Assessment Activities

    1. Estimated Occurrence

    3. Estimated

    Fate and Transport

    Regulatory Actions

    (MCLs)

    Treatment or Alternative

    Source Selected

    Stressors (chemical/microbial

    concentrations in finished water)

    Distribution System

    (air, land, water)

    Causal Links Leading to Benefits

    2. Compliance Response;

    Estimated Removal/

    Inactivation

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    Causal Links in Benefits (cont.)

    Benefits Assessment ActivitiesCausal Links Leading to Benefits

    Receptors(exposures to people)

    Impacts

    (health, risk reductions)

    Values

    (monetization of benefits)

    4. Estimated Exposure;

    Averting Behavior

    5. Estimated

    Dose-Response

    6. EstimatedWillingness to Pay (benefits),

    or Costs of Illness

    Distribution System

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    Exposure Assessment

    Tap water consumption

    2 liters/day replaced with . . .

    Distribution with mean ~1.1L/day

    Duration of exposure

    70+ year lifetime becomes . . .

    Distribution of residential duration(median of 5.2 years), coupled withoccurrence data

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    Lifetime Exposures

    (arsenic at 10g/L)

    0

    50,000

    100,000

    150,000

    200,000

    250,000

    300,000

    Percentile

    g/Lifetime

    266,450

    64,320

    (24%)

    50th

    (26%)

    (34%)

    78,456

    144,405

    75th 95th 99th

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    Concentration-Response

    and Risk Characterization Impact of biologically-based models

    Threshold-like dose-response functions

    Other nonlinear exposure-response models Use of probabilistic methods

    Using distributors rather than

    precautionary assumptions (e.g., MonteCarlo techniques)

    Provides central tendency (most likely)estimates

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    Quantification Issues

    What is meaningful measure of benefits? Lives saved (premature fatalities avoided)

    Life years saved (extension of life expectancy)

    Nonfatal risk reductions (# illnesses avoided)

    Moral key: benefits are risk reductions Low-level risks, spread over large population

    Nota specific, identified person or set ofvictims

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    Valuing Premature Fatalities

    Avoided Value of a Statistical Life (VSL) Published studies of observed $ for risk

    tradeoffs

    Based on accidental immediate death(occupation, traffic safety, etc.)

    Latency and discounting are key issues

    Not placing $ values on lives Observed $-for-risk tradeoffs

    Low-level risks over large population

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    Adjusted Value of Statistical Life(VSL) Estimates

    (million 1999 dollars)

    4. Life years saved and VSLY $1.2 $1.5

    3. Age-adjusted VSL (age,income, latency, discounting) $1.3 $1.9

    2. SAB-endorsed (income growth,latency, discounting)

    $2.7 $2.7

    Bladdercancer

    Lungcancer

    1. EPA (unadjusted VSL) $6.1 $6.1

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    Other Application Issues

    Interpreting BCA findings for standards Total vs. incremental BCA

    System size (scale economies)

    Addressing unquantified benefits Using best estimates of risk

    reductions and monetized values

    In lieu of precautionary assumptions Using probability distributions (or ranges)

    rather than point estimates

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    Uranium: Cost per Person Exposedabove Oral RfD for Kidney Toxicity

    (000s of 1998 dollars per lifetime, log scale)

    $7.6

    $1,860.0 $2,150.0

    $4.2 $5.2$5.2

    $290.0$198.0

    Total Population

    Population > Oral RfD

    Baseline80 g/L

    80 g/L40 g/L

    40 g/L30 g/L

    30 g/L20 g/L

    1

    10

    100

    1,000

    10,000

    Log scale$000s

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    Conclusions

    BCA provisions are an important stepforward for standard setting

    Enable a departure from technology-driven basis of standard setting

    Offer upside potential for designing

    better standards to maximize publichealth protection

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    Conclusions (cont.)

    AwwaRF project addresses key issues: How benefits should be estimated

    How BCA should be applied andinterpreted for MCL-setting

    BCA is a useful toolto guide decisions

    It is not a ruleby which decisions shouldalways be made

    AwwaRF project also shows how BCAis useful for setting research priorities