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Poverty Reduction Trends in the Kyrgyz Republic and Poverty Measurement Accuracy

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Title: Poverty Reduction Trends in the Kyrgyz Republic and Poverty Measurement Accuracy


1
Poverty Reduction Trends in the Kyrgyz Republic
and Poverty Measurement Accuracy
  • National Statistical Committee of the Kyrgyz
    Republic
  • Candidate of physical-mathematical sciences,
    candidate of economic sciences Zarylbek Kudabaev
  • ???????, 19 ?????? 2009 ?.

2
On methodology of poverty level estimation
  • The methodology of poverty level estimation is
    based on objective measurement of household
    expenditures in accordance with standards of
    Living Standard Measuring Surveys (LSMS) of the
    World Bank
  • Nutrition structure of 1/3 part of the population
    with lowest incomes is estimated, and quantity of
    products ensuring established food energy
    consumption level of 2100 kcal/day is determined.
  • Food basket cost is estimated.
  • Total amount of minimally required expenditures
    on non-food goods and services is determined on
    the basis of actual expenditures of 1/3 part of
    the population with lowest incomes.
  • Poverty line is a cost of food basket and
    minimally required set on non-food goods and
    services.

3
On methodology of poverty level estimation
4
On methodology of poverty level estimation
  • Poverty level is calculated by the following
    formulae
  • Extreme poverty level is calculated similarly,
  • Poverty depth/poverty gap index (summing by poor
    households)
  • Poverty severity /squared poverty gap index

5
On methodology of poverty level estimation
6
On methodology of poverty level estimation
Dynamics of poverty level indicators,
7
On methodology of poverty level estimation
Relationship between GDP growth and poverty level
8
General poverty reduction trends in 2000-2002
9
General poverty reduction trends in 2000-2002
10
General poverty reduction trends in 2000-2002
  • Real per capita expenditures growth rates by
    deciles, 2001-2002

11
Revelation of impact of economic growth and
inequality on poverty reduction
  • A broad class of poverty indicators is described
    by the formula
  • here f(x) is income distribution density
    function, z poverty line, P(z, x) function
    expressing the extent of poverty under per capita
    income ? lt z. For example, function of
    Forster-Greer-Thorbecke class
  • Poverty indicators depend on two factors mean
    income and degree of inequality in income
    distribution. Therefore, poverty indicator could
    be interpreted as a function of mean income and
    Lorenz curve showing income distribution in the
    society.

12
Revelation of impact of economic growth and
inequality on poverty reduction
  • Growth elasticity index. To measure the impact of
    growth, the elasticity of poverty indicator with
    respect to mean income (with unchanged Lorenz
    curve) could be represented in the following way
  • Inequality elasticity index (assuming that
    changes in inequality are expressed in parallel
    shift of Lorenz curve). The elasticity of poverty
    indicator with respect to Gini index (with
    unchanged mean income).

13
Revelation of impact of economic growth and
inequality on poverty reduction
  • Index of choice between growth and inequality
    (ICGI). Economic growth increases mean income,
    which positively influences poverty reduction. If
    economic growth also increases inequality, which
    influences poverty negatively, then a question
    emerges What is the relationship between
    inequality and growth?
  • For poverty depth (poverty gap index)

14
Revelation of impact of economic growth and
inequality on poverty reduction
15
Revelation of impact of economic growth and
inequality on poverty reduction
16
Accuracy of poverty measuring
17
Accuracy of poverty measuring
  • What is National Statistical Committee doing to
    improve quality of household survey?
  • Sample size has been increased up to 5016
    households.
  • Analysis of variance indicates that intergroup
    variance dominates over intragroup variance.
    Group size has been decreased from 25 to 11.
  • Wealthier households more frequently refuse to
    participate in the survey. Therefore, the problem
    of reduction of load on respondents time is
    essential for sample representativeness.
    Quarterly survey of households instead of
    previously practiced monthly survey.

18
Calculation of the UN indices
19
Calculation of the UN indices HDI dynamics in
CIS countries, 1996-1999
20
Calculation of the UN indices
21
  • Thank you for your attention !
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