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European SocioEconomic Classification Validation Conference

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Title: European SocioEconomic Classification Validation Conference


1
European Socio-Economic Classification
Validation Conference
  • Portuguese Statistical Office
  • Lisbon, 19-20 January 2006

2
Unemployment risks in four European countries an
attempt of testing the construct validityof the
ESeC scheme
  • Antonio Schizzerotto, Roberta Barone
  • Laura Arosio
  •  University of Milano Bicocca
  • Italy

3
Aims of the study
  • Testing the construct validity of the ESeC
    classification, by means of a comparative
    analysis aimed at detecting the variations across
    four EU-15 countries in the risks of unemployment
    experienced by incumbents of occupations
    belonging to different ESeC classes.
  • Checking whether in the case of Italy different
    versions of Isco88.com- i.e. 2, 3 and 4 digit
    versions- affect the estimated disparities
    between ESeC classes in the risk of unemployment

4
Four EU countries
  • Denmark, as a representative of countries where
    the State playes an important role in the
    functioning of the whole society
  • Germany and Italy, as representatives of
    countries where family has a crucial position in
    the institutional arrangements of the society
  • United Kingdom, as a representative of countries
    that attribute great importance to the market in
    the workings of the society

5
Three hypotheses to be tested
  • ESeC is a valid social scheme
  • The disparities between ESeC classes in the risk
    of unemployment should follow the same general
    pattern between countries that posses a market
    economy
  • Despite this basic similarity, as a consequence
    of different institutional arrangements and
    labour market regulations across countries, one
    should observe between countries dissimilarities
    in unemployment risks displayed by each ESeC
    class.

6
Data sources
  • Waves from 1994 to 2001 of the European Community
    Households Panel (ECHP)
  • Waves 1997, 1999 and 2001 of Ilfi (Italian
    Households Longitudinal Study)

7
Methods
  • Poisson regression of unemployment incident rates
    ratios
  • Survivor functions in employment by ESeC classes

8
ESeC classes and risks of unemployment
9
Poisson Regression of Unemployment Incidence Rate
Ratios by ESeC Classes and Country in the period
1994-2001
10
Average incidence rates () of unemployment (in
bold letters) and 95 confidence intervals by
ESeC classes and countries in the period
1994-2001
11
Poisson regression of unemployment incidence rate
ratios by ESeC classes and country controlling
for gender, age, level of education and marital
status. ECHP waves 1-7
12
Average incidence rates () of unemployment (in
bold letters) and 95 confidence intervals by
ESeC classes and countries in the period
1994-2001. Estimates from multivariate Poisson
regression model controlling for gender, age,
education and civil status.
13
ESeC classes and the duration of employment
episodes
14
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18
Log-rank test of expected and observed events of
dismissal by ESeC classes and country and values
of ?2 test.
19
The validity of ESeC class scheme and Isco 88
com versions according to Ilfi data
20
ESeC classes size (in percentages) by Isco 88 com
version. Italy, 2001 (current occupation)
21
ESeC classes size (in percentages) by Isco 88 com
version. Working episodes, Italy 1980-2001
22
Poisson regression of unemployment incidence rate
ratios by Isco 88 com version. Italy 1980-2001
23
Average unemployment incidence rates () by Isco
88 com version. Italy 1980-2001
24
Employment relations and level of social
desirability of ESeC classes according to ILFI
data
25
ESeC classes by type of contract, Italy,
1980-2001.
26
Employment status of ESeC classes 1 and 2, Italy,
1980-2001.
27
Scales score by ESeC classes , Italy,
1980-2001.
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