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Measurement 8

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Title: Measurement 8


1
Measurement 8 9
  • Health

2
Health indicators
  • Health risks
  • Nutrition Water / Sanitation Tobacco, Alcohol
    consumption
  • Morbidity / Health status
  • Incidence (new cases flows) Prevalence
    (infectionstocks)
  • ex. HIV seropositivity
  • Direct measurement (vision, audition,
    respiration, blood test)
  • Symptoms (absent from work for sickness, often
    feels crying...)
  • Self-declaration been sick in the past 15 days?
    ? seen a doctor?
  • Mortality
  • Infant Neonatal (1st month of life)
    Postnatal (1st year of life) 1q0
  • Under-five Infant Child 4q0
  • Adult mortality (between 15 and 60)
  • Life expectancy
  • Mortality by causes of death

3
Health systems and health policy
  • Public and private expenditures
  • Prevention (health risks) treatment
  • Insurance
  • Number of dispensaries, of hospital beds
  • Number of physicians, nurses
  • Availability and price of medicines
  • Vaccination rates

4
Correlates of Health
  • Correlates
  • Individual genetic predispositions
  • Social background, education, income
  • Ex1 Life expectancy according to occupation
  • (around 10 years of diff. between a university
    teacher and an unskilled worker)
  • Ex2 Children height stature inequality between
    and within countries

5
Equity (1)
  • Outcome f(C,P)R
  • C circumstances PPolicy Rresponsibility
  • P ex-ante intervention or ex-post compensation
  • 2 principles of equality of opportunity
  • Natural reward P should let R its impact
  • Compensation P should equalize f(C,P)
  • Ex. Expenditures for cancer or AIDS
  • C social origin (e.g. white/blue-collar,
    white/black...)
  • R individual behavior (ex. smoking, sex)
  • P public subsidy (cure of cancer, tri-therapy)

6
Equity (2)
Rows Social origin Cols Risk level within
each social origin Cells Costs of treat-ment

7
Nutrition
  • Nutritional intakes quantity of food,
    subsistence basket (see Roman example) quality
    of food
  • Nutritional outcomes height, weight

8
What does height reflect?
Individual stature genetics - exposure to
infectious pathogens nutrition during
growth Mean group stature genetics 0 ? !
Differential mortality exposure to
pathogens nutrition Weight, Quételet index (or
BMI) more short-term ? obesity, anorexia
9
When is height determined?
Children growth timing In utero (ex.
phylloxera) From 0 to 2 From 2 to 5
Stabilization period During puberty
10
Height and income
  • Not much correlated with income
  • Differential mortality
  • Quantity and quality of calories
  • Quality of the diet
  • Causality
  • Height and future wages
  • Parental income and height (ex. Cocoa crisis in
    Côte dIvoire, phylloxera in France)

11
Tall Africans, Small Indians
12
Height stature
John Strauss Duncan Thomas, Health, Nutrition
and Economic Development, Journal of Economic
Literature, 36(2), 1998.
13
(No Transcript)
14
HIV/AIDS
15
HIV/AIDS Epidemics
  • Epidemiology and prevention
  • Still not very well-known epidemics
  • Heterosexual and a more feminine
  • The epidemics is in fact rather evenly
    distributed at high incidence rates
  • Strong sensitivity with respect to safe behavior
  • Large fall of life expectancy and of population
    growth
  • Orphans
  • Costly medecine
  • Opportunistic infections around 360 (2000
    prices) /year /adult
  • HAART (Tri-Therapies)  around 1000
  • Mother-baby transmission
  • Economic impact 5 main channels
  • Medium-term
  • Labor supply (dependence ratio, skill
    composition) ?household information
  • Illness and labor productivity ?work
    participation information
  • Enterprises and administrations disorganization ?
    specific surveys
  • Long-term

16
HIV/AIDS Prevalence Measurement
  • Pre-natal visits ? blood test
  • ? Bias to be corrected not all women go to a
    pre-natal visit (80 women in Cote dIvoire) a
    sample of pre-natal visits is not a sample of
    women seropositivity of men remains unknown
  • Population surveys
  • ? Saliva tests or blood tests?

17
Morbidity self-declaration bias
  • Cote dIvoire 2-5 years old children
  • Sick in the 15 days preceding the interview
  • 1988 16 if cons.per cap.ltmedian, 17 otherwise
  • 1993 idem, 10 vs. 11
  • Often encountered spurious correlation child
    care and preference attrition
  • Cocoa producers compared to other farmers
  • Cocoa p. wealthier by 20 in 1988, but at par in
    1993
  • 1988 19 sick in other farmers vs. 11 in cocoa
    producing households
  • 1993 11 other farmers, 10 cocoa producers
  • Double difference (10-11)-(11-19)7
  • Wald estimator 7/-20 0.35 income elasticity

18
Mortality
  • Mortality rates
  • 1q0 Cohort of born in t jan.dec. ? dead in
    t1 jd
  • 4q1 Cohort of survivors in t1 j.d. ? dead
    between t4 and t5
  • 4q0 1q0 (1-1q0)4q1
  • 1qa proba of dying between age a and age a1
  • tpa proba of surviving from age a to age at
    (tpT 0)
  • Life expectancy at age h
  • La St0,..,T t tpa tqt1 (tpT 0 1qT 1)

19
Rome (1)
  • Measure welfare in Rome in comparison with
  • GDP? Rather impossible
  • Height stature of skeletons? They burnt their
    dead (except in Pompeii)
  • Unskilled laborers household purchasing power
  • Wages and prices in denarii (? silver grams)
    from the Diocletian edict (maximum prices for
    inflation control)
  • Bare bone basket

Robert C. Allen, Oxford University, 2007 How
Prosperous were the Romans? Evidence from
Diocletians Price Edict (301 AD)
20
Rome (2)
Robert C. Allen, Oxford University, 2007 How
Prosperous were the Romans? Evidence from
Diocletians Price Edict (301 AD)
21
Rome (3)
Robert C. Allen, Oxford University, 2007 How
Prosperous were the Romans? Evidence from
Diocletians Price Edict (301 AD)
22
Roman life expectancy
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