Population
Journal issue

Volume 65, Number 2

Population
2010/2 Vol. 65


128 pages

Cite this issue

2010. Volume 65, Number 2. Paris : Ined Éditions. « Population », 2010/2 Vol. 65, p.128. URL : https://shs.cairn.info/journal-population-2010-2?lang=en.
Volume 65, Number 2. Population, 65, 2, 2010, shs.cairn.info/journal-population-2010-2?lang=en.
Volume 65, Number 2. (2010). Population, (. 65), https://shs.cairn.info/journal-population-2010-2?lang=en.
Table of contents
Figures
Table 1
Table 1

Relative weights of the different religious groups in 1970, 1980, 1990 and 2000 (%)

Figure 1
Figure 1

Age-sex structure by religious affiliation, Switzerland, 2000

Sources: Federal population censuses, Federal Statistical Office.

Table 2
Table 2

Logistic regression of the risk of religious mobility between the census and death by characteristics reported in the 1990 census, matched deaths 1991-2000

Figure 2
Figure 2

Life expectancy at birth by religious affiliation, before and after correction for religious mobility, Switzerland, 1991-2004

Sources: Population censuses of 1990 and 2000, vital records, 1991-2004.

Table 3
Table 3

Level and structure of mortality by religious affiliation, after correction of information given at time of death, Switzerland, 1991-2004

Figure 3
Figure 3

Probabilities of dying from a specific cause for different age groups (taken from a multiple decrement table), population living in Switzerland, 1991-2004

Sources: Population censuses of 1990 and 2000, vital records, 1991-2004.

Table 4
Table 4

Logistic regressions for the risk of dying by age reached, Switzerland, 1991-2000

Table A.1
Table A.1

Logistic regression of the risk of dying by selected cause of death in Switzerland, population aged 25-44 (odds ratio)

Table A.2
Table A.2

Logistic regression of the risk of dying by selected cause of death in Switzerland, population aged 45-64 (odds ratio)

Table A.3
Table A.3

Logistic regression of the risk of dying by selected cause of death in Switzerland, population aged 65+ (odds ratio)

Table 1
Table 1

Results of studies on union dissolution (at date t) and labour supply

Figure 1
Figure 1

Separation rate by birth cohort in France (hazard function estimated by Kaplan Meier model)

Source: “Étude de l’histoire familiale” survey, INSEE-INED, 1999.

Table 2
Table 2

Proportions of men and women by age, presence of children, and age of children at time of first separation (%)

Table 3
Table 3

Scenarios

Figure 2
Figure 2

Distribution of propensity scores for separated and non-separated persons

Source: Authors’ calculations from 1997 “Jeunes et carrières” and 2005 “Familles et employeurs” surveys.

Figure 3
Figure 3

Distribution (%) of separated women by labour market status before and after break-up, compared with non-separated women (Kernel matching)

Source: Authors’ calculations from 1997 “Jeunes et carrières” and 2005 “Familles et employeurs” surveys.

Figure 4
Figure 4

Distribution (%) of separated men by labour market status before and after separation, compared with non-separated men (Kernel matching)

Source: Authors’ calculations from 1997 “Jeunes et carrières” and 2005 “Familles et employeurs” surveys.

Table 4
Table 4

Occupational mobility matrix for women (percentage)

Table 5
Table 5

Occupational mobility matrix for men (percentage)

Table 6
Table 6

Change in women’s labour market status around the time of separation (percentage) (Kernel matching)

Table 7
Table 7

Change in men’s labour market status around the time of separation (percentage) (Kernel matching)

Table 8
Table 8

Probability of (re)entering the labour market for women who where inactive before separation (logit model)

Figure A.1
Figure A.1

Retrospective calendar covered by each survey. Lexis diagram

Source: 1997 “Jeunes et carrières” and 2005 “Familles et employeurs” surveys.

Table A.1
Table A.1

Probability of separation at date t. Estimation of propensity score (logit model)

Table A.2
Table A.2

Distribution of variables in sub-groups of separated and non-separated persons

Figure 1
Figure 1

Using the Internet as a sampling tool

Table 1
Table 1

Regular Internet use by individuals aged 16-74 years in Europe in 2009 (%)

Figure 2
Figure 2

The Internet as a survey mode

Figure
Figure
Figure
Figure
Table 1
Table 1

Sample characteristics of NFHS, India

Figure 1
Figure 1

Period parity progression ratios, India, 1977-2004

Source: Author’s calculations based on the three NFHS surveys.

Figure 2
Figure 2

Mean birth intervals, India, 1977-2004

Source: Author’s calculations based on the three NFHS surveys.

Table 2
Table 2

Implied period completed parity distribution and average lifetime parity, India, 1977-2004, selected years

Figure 3
Figure 3

Lifetime average parity for synthetic cohorts (three-year moving average) and total fertility estimates

Sources: Average parity: author’s calculations based on the three NFHS surveys; TF (SRS): Visaria, 2004, p. 58 and http://censusindia.gov.in/vital_statistics/Vital_Rates/Vital_rates.aspx (accessed 22 July 2009); NFHS-1, NFHS-2, NFHS-3: IIPS and Macro International 2007, p. 78.

Figure 4
Figure 4

Decomposition of the 1977-2004 fertility decline in India by progression to each successive birth

Source: Author’s calculations based on the three NFHS surveys.

Table A.1

Period parity progressions ratios (PPPRs), mean birth intervals (), and synthetic lifetime average parity, India, 1977-1991

Table A.1
Table A.1

Period parity progressions ratios (PPPRs), mean birth intervals (), and synthetic lifetime average parity, India, 1977-1991

Table A.2

Period parity progressions ratios (PPPRs), mean birth intervals (), and synthetic lifetime average parity, India, 1983-1997

Table A.2
Table A.2

Period parity progressions ratios (PPPRs), mean birth intervals (), and synthetic lifetime average parity, India, 1983-1997

Table A3

Period parity progressions ratios (PPPRs), mean birth intervals (), and synthetic lifetime average parity, India, 1990-2004

Table A3
Table A3

Period parity progressions ratios (PPPRs), mean birth intervals (), and synthetic lifetime average parity, India, 1990-2004

Figure 1
Figure 1

Lexis Diagram of research design showing the Nang Rong analysis cohort, the survey waves and five hypothetical migration patterns

Source: Nang Rong project data.

Table 1
Table 1

Descriptive statistics for all variables used in models

Table 2
Table 2

Probit estimates of return migration

Table 3
Table 3

Predicted probabilities of return migration

Table A1
Table A1

Descriptive statistics for select independent variables in 1994, comparison of lost to follow-up 1994-2000 with those interviewed in 1994