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    Jornadas de Estadstica Aplicada, Universidad de Chimborazo, Riobamba, Ecuador, 10 13th June 2013

    European Union Statistics on Income and Living Conditions(EU-SILC)

    N. T. Longford, SNTL and UPF, Barcelona, Spain

    ([email protected])

    Annual surveys conducted in the countries of the European Union (EU)

    Key resource about household well-being

    Political agenda: Reduction of poverty

    Cross-sectional and longitudinal components

    Harmonisation: Similar sampling designs, questionnaires, data processing

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    Household income

    Combination of several sources: (self-)employment, pension, social trans-fers, inheritance, presents, rents, investments, etc.

    Household-level analysis a household shares all resources

    Equivalised household size (eHS):

    One adult: 1.0; other adults: 0.5; each child 0.3 total.

    Equivalised household income (eHI):

    eHI = Total income / eHS the key outcome variable

    Median eHI, eHI50 estimated with sampling weights

    2

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    Household income

    Poverty status:

    Poor if eHI < S eHI50; not poor otherwise S = 60%

    Estimation of the poverty rate

    percentage of individuals/households that are poor

    as a function ofS

    poverty curves

    Estimation of the sampling variance (standard error):

    Bootstrap (with weights)

    Other measures of (financial) poverty:

    poverty gap: average shortfall on S eHI50

    3

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    Median

    7 1 9 4 8 10 5 6 13 11 2 3 14 15 12

    6795

    7296

    7830

    9483

    9514

    9616

    9830

    10237

    11110

    11360

    12476

    12544

    13738

    14336

    15873

    Subject

    eHI

    9879

    The weighted sample median. An illustration.

    Subjects sorted by eHI and represented by segments

    of length proportional to their sammpling weights.

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    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

    7296

    12476

    12544

    9483

    9830

    10237

    6795

    9514

    7830

    9616

    11360

    15873

    11110

    13738

    14336

    Subject

    Selections

    eHI

    0 0 4 2 0 3 0 1 0 1 0 0 2 0 2

    An illustration of bootstrap.

    Selection with probability proportional to the sampling weight, with replace-

    ment.

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    Austria 2010

    Bootstrap estimate (%)

    Frequency

    11 12 13

    0

    20

    40

    b^

    ^

    Bootstrap estimation of the poverty rate in Austria in 2010.

    (Replicate) bootstrap estimates, their mean and 95% conf. interval (dots).

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    10 20 30 40

    1.2

    1.4

    1.6

    Austria

    eHI (2004)

    e

    HI(2010/2004)

    5 10 20 50

    1.2

    1.4

    1.6

    Multiplicative scale (x)

    eHI (2004)

    e

    HI(2010/2004)

    Bootstrap replicate estimates of the changes in eHI from 2004 to 2010 inAustria.

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    20 40 60 80 100

    0

    10

    20

    30

    2004

    Poverty threshold (%)

    P

    overtyrate(%)

    FILUISFR DKIENOAT SEBE

    ESPT GRIT

    EE

    NOIS LUDK

    ATSEFI FR

    BE

    IT ESPTEEGRIE

    20 40 60 80 100

    0

    10

    20

    30

    2010

    Poverty threshold (%)

    P

    overtyrate(%)

    LUATFIIS BEFRSENO PTEEDKGR IEIT

    ES

    NOISAT

    SEFI FRDKBE

    EELUGRIT

    PTESIE

    The estimated poverty curves of the countries in EU-SILC in 2004 and 2010.

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    Poverty indexes

    Index: a single value national summary

    Example

    Poverty gap: The shortfallfor a household is defined as (eHI50 S eHI)+ zero for households with income about the threshold

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