Population
Journal issue

Volume 63, Number 2

Population
2008/2 Vol. 63


198 pages

Cite this issue

2008. Volume 63, Number 2. Paris : Ined Éditions. « Population », 2008/2 Vol. 63, p.198. URL : https://shs.cairn.info/journal-population-2008-2?lang=en.
Volume 63, Number 2. Population, 63, 2, 2008, shs.cairn.info/journal-population-2008-2?lang=en.
Volume 63, Number 2. (2008). Population, (. 63), https://shs.cairn.info/journal-population-2008-2?lang=en.
Table of contents
Figures
Table 1
Table 1

Percentage of respondents who mentioned persons in their parental and educational universe other than their biological parents before age 15

Table 2
Table 2

Distribution of parent figures according to their relationship with respondents

Table 3
Table 3

Distribution of parent figures by gender and relationship with respondents (%)

Table 4
Table 4

Respondents’ age at start of parent figures’ period of influence, by type of relationship (%)

Table 5
Table 5

Configurations of respondents’ potential parental universes before age 15 by presence of parent figures

Table 6
Table 6

Configurations of respondents’ actual parental universes before age 15

Table 7
Table 7

Time spent in an institution and the parental universe of children whose co-residence with both parents was interrupted before age 15

Table 8
Table 8

Relationship with the reference person in the household where respondent was placed before age 15

Table 9
Table 9

The main explanatory registers of the role of parent figures

Table 10
Table 10

Summary of main functions by respondent’s gender and relationship with parent figures (PF)

Tableau
Tableau
Table 1
Table 1

Immigrant marriages in France by partners’ nationalities, 1968-2000 (%)

Figure 1
Figure 1

Change in the distribution of immigrant marriages in France by partners’ nationalities, 1968-2000

Source: INSEE, EDP.

Figure 2
Figure 2

Classification of marriages of EDP individuals

Table 2
Table 2

Marriages of immigrant EDP individuals in France by partner’s nationality at time of marriage and country of birth, 1968-2000 (%)

Figure 3
Figure 3

Immigrant marriages in France by partner’s nationality at time of marriage and country of birth, 1968-2000

Source: INSEE, EDP.

Table 3
Table 3

Origin of immigrants marrying in France, 1968-2000

Figure
Figure
Table 4
Table 4

Factors influencing the probability of exogamous rather than endogamous marriage among immigrant men in France, 1968-2000 (probit model coefficients)

Table 5
Table 5

Factors influencing the probability of exogamous rather than endogamous marriage among immigrant women in France, 1968-2000 (probit model coefficients)

Figure 4
Figure 4

Probability of exogamous marriage and labour market integration (model coefficients)

Source: INSEE, EDP and population censuses.

Appendix table
Appendix table

Factors influencing the labour market situation of immigrants in France, 1968-1999 (probit model coefficients)

Table 1
Table 1

Relative geographical distance of parents and parents-in-law (%)

Table 2
Table 2

Support provided to own and spouse’s family over the previous twelve months by sex and occupational category (%)

Table 2

Support provided to own and spouse’s family over the previous twelve months by sex and occupational category (%)

Table 3
Table 3

Influence of gender on orientation of support to relatives by kin group (model coefficients)

Table 4
Table 4

Determinants of the orientation of support to relatives by kin group (model coefficients)

Table 1
Table 1

Database sources

Figure
Table 2
Table 2

Descriptive statistics : migrants aged 25 or over resident in the six main OECD receiving countries and percentage distribution by skill level, 1975-2000

Figure 1
Figure 1

Proportion of adult migrants present in OECD-6 countries with respect to all migrants in OECD in 2000

Source: Author’s calculations based on census data and Docquier and Marfouk (2004).

Map 1a
Map 1a

Proportion of emigrants aged 25 or over resident in one of six main OECD receiving countries in 2000 (as percentage of OECD total)

Map 1b
Map 1b

Proportion of highly skilled emigrants aged 25 or over resident in one of six main OECD receiving countries in 2000 (as percentage of OECD total)

Source: Author’s calculations based on census data from OECD-6 countries and Docquier and Marfouk (2004).

Map 2
Map 2

Countries whose proportion of emigrants aged 25 or over resident in one of the six main OECD receiving countries exceeds 80% and 70% in 2000 (as percentage of OECD total)

Source: Author’s calculations based on census data from OECD-6 countries and Docquier and Marfouk (2004).

Map 2

Countries whose proportion of emigrants aged 25 or over resident in one of the six main OECD receiving countries exceeds 80% and 70% in 2000 (as percentage of OECD total)

Source: Author’s calculations based on census data from OECD-6 countries and Docquier and Marfouk (2004).

Table 3.1
Table 3.1

Percentage of highly skilled among resident population aged 25 or over, 1975-2000

Table 3.2
Table 3.2

Emigration rates of highly skilled adults aged 25 or over to the six main OECD receiving countries, 1975-2000 (%)

Table 3.2

Emigration rates of highly skilled adults aged 25 or over to the six main OECD receiving countries, 1975-2000 (%)

Table 3.3
Table 3.3

Emigration rate of low skilled adults aged 25 or over to the six main OECD receiving countries, 1975-2000 (%)

Table 3.4
Table 3.4

Ratios between emigration rates of highly skilled and low-skilled adults aged 25 or over, 1975-2000 (relative risk)

Figure 2
Figure 2

Trends in emigration rates to OECD-6 of highly skilled adults aged 25 or over for the main world regions affected by brain drain

Source: Author’s calculations based on census data for the OECD-6 countries, Barro and Lee (2000) and De la Fuente and Domenech (2002).

Figure 3
Figure 3

Trends in emigration rates of low-skilled adults aged 25 or over to OECD-6 for the main world regions affected by brain drain

Source: Author’s calculations based on census data for the OECD-6 countries, Barro and Lee (2000) and De la Fuente and Domenech (2002).

Table 4
Table 4

Resident population and migrants aged 25 and over in the OECD countries and the six main receiving countries, by region of origin, 2000

Figure 4
Figure 4

Density of emigration rates for adults aged 25 and over to OECD-6 countries, 1975, 1990, and 2000

Source: Author’s calculations based on census data for OECD-6, Barre and Lee (2000), and De la Fuente and Domenech (2002).

Map 3
Map 3

Emigration rates of highly skilled adults aged 25 and over in OECD-6

Source: Author’s calculations based on census data for OECD-6, Barro and Lee (2000), and De la Fuente and Domenech (2002).

Table 5
Table 5

Countries most affected by brain drain to OECD-6 in 1975, 1990, and 2000

Table 6
Table 6

Countries with largest variation in emigration rates for skilled adults aged 25 or over to OECD-6 between 1975 and 2000

Table 7
Table 7

Countries with highest brain drain in 1975 and 2000, by population size in 2000 (emigration rates of highly skilled adults aged 25 or over to OECD-6 countries expressed as a percentage)

Figure 1a
Figure 1a

Life expectancy at birth in Portugal and Spain by sex, 1950-2005

Source: Human Mortality Database.

Figure 1b
Figure 1b

Gap in life expectancy at birth between Spain and Portugal by sex, 1950-2005

Source: Human Mortality Database.

Figure 2a
Figure 2a

Infant mortality rate in Portugal and Spain by sex, 1950-2005

Source: Human Mortality Database.

Figure 2b
Figure 2b

Pattern of Portuguese and Spanish life expectancy (LE) by sex, with the Portuguese female LE (1960-2005) lagged back 10 years and the Portuguese male LE (1965-2005) lagged back 15 years relative to the Spanish LE

Source: Human Mortality Database.

Figure 3a
Figure 3a

Age-contribution to the difference in female life expectancy between Spain and Portugal, 1950-2005

Source: Human Mortality Database.

Figure 3b
Figure 3b

Age-contribution to the difference in male life expectancy between Spain and Portugal, 1950-2005

Source: Human Mortality Database.

Table 1a
Table 1a

Age-contribution to the change in life expectancy over time in Portugal, by sex and period (in years)

Table 1b
Table 1b

Age-contribution to the change in life expectancy over time in Spain, by sex and period (in years)

Figure 4a
Figure 4a

Age-contribution to the change in the gap in the female life expectancy between Spain and Portugal by period, 1950-2005

Source: Human Mortality Database.

Figure 4b
Figure 4b

Age-contribution to the change in the gap in the male life expectancy between Spain and Portugal by period, 1950-2005

Source: Human Mortality Database.

Figure 5a
Figure 5a

Cause-decomposition of the difference in female life expectancy between Spain and Portugal, 1980-2003

Source: Human Mortality Database and WHO (2006).

Figure 5b
Figure 5b

Cause-decomposition of the difference in male life expectancy between Spain and Portugal, 1980-2003

Source: Human Mortality Database and WHO (2006).

Table 2
Table 2

Cause-specific contribution to the change in life expectancy over time in Portugal and Spain between the years 1980-1990 and 1990-2003

Figure 6
Figure 6

Cause-specific contribution to the change in the gap in life expectancy between Spain and Portugal by sex over the periods 1980-1990 and 1990-2003

Source: Human Mortality Database (2007) and WHO (2006).

Figure 7a
Figure 7a

Age and cause-decomposition of the difference in female life expectancy between Spain and Portugal, 1980

Source: Human Mortality Database (2007) and WHO (2006).

Figure 7b
Figure 7b

Age and cause-decomposition of the difference in female life expectancy between Spain and Portugal, 2003

Source: Human Mortality Database (2007) and WHO (2006).

Figure 8a
Figure 8a

Age and cause-decomposition of the difference in male life expectancy between Spain and Portugal, 1980

Source: Human Mortality Database (2007) and WHO (2006).

Figure 8b
Figure 8b

Age and cause-decomposition of the difference in male life expectancy between Spain and Portugal, 2003

Source: Human Mortality Database (2007) and WHO (2006).

Appendix table
Appendix table

Cause of death grouping and ICD-9 and ICD-10 codes used for calculating the cause-specific decomposition(a)

Figure 1
Figure 1

Trends in annual deaths before and after reconstruction of consistent series, for selected cardiovascular diseases. France, 1968-1991

Source: Vallin and Meslé, 1998.

Table 1
Table 1

Number of deaths classified in four ICD chapters affected by large statistical discontinuities, ninth and tenth revisions. France, 1999 and 2000

Figure 3
Figure 3

Total pneumonia deaths under ICD-9 (items 480-486) and ICD-10 (items J12-J18), before and after correction based on ratios for the US and England-Wales

Sources: INED cause-of-death database, INSERM-CépiDc.

Figure 2
Figure 2

Annual deaths for selected ICD chapters across the eighth, ninth and tenth revisions, France

Source: INED cause-of-death database, INSERM yearbooks, INSERM-CépiDc

Figure 4
Figure 4

Total septicaemia deaths under ICD-9 (item 38) and ICD-10 (items A40-A41), before and after correction using ratios for the US and England-Wales

Sources: INED cause-of-death database, INSERM-CépiDc

Table 2
Table 2

Distribution of deaths classified under pneumonia (ICD-9 items 480-486) in ICD-10 items and chapters (sample of deaths, 1999, France)

Table 3
Table 3

Comparison of the numbers of deaths for which septicaemia or pneumonia were recorded in 1999 or 2000, by type of cause