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[PDF] Top 20 Volume 32 - Article 20 | Pages 589–620

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Volume 32 - Article 20 | Pages 589–620

Volume 32 - Article 20 | Pages 589–620

... The PGW method makes the assumption that death rates attributable to smoking among never-smokers would be the same for each occupational group. However, it is possible that manual workers would have had greater exposure ... See full document

34

Volume 37 - Article 32 | Pages 995–1030

Volume 37 - Article 32 | Pages 995–1030

... aged 20–39 until 2005 ‒ and those with high education (having completed upper secondary education or a higher degree) accounting for more than 70% of the 20–39 working-age population in 2015 (WIC ... See full document

38

Volume 32 - Article 14 | Pages 421–442

Volume 32 - Article 14 | Pages 421–442

... As we explain in section 2.3, CASFR and CTFR may be computed from a variety of data types, including biographical data, vital statistics data  if they include information on the relation between the fathers and the ... See full document

24

Volume 32 - Article 6 | Pages 183–218

Volume 32 - Article 6 | Pages 183–218

... The decomposition analysis has two components: first, the examination of overall decompositions; and, second, the examination of detailed decompositions, in which the education gender gap norm differential may be ... See full document

38

Volume 32 - Article 23 | Pages 691–722  

Volume 32 - Article 23 | Pages 691–722  

... Based on these compiled models, Figure 6 illustrates within-country effects of FLP more specifically by describing its yearly effect on fertility in both total and age- specific terms. As a result of considering country ... See full document

34

Volume 32 - Article 25 | Pages 775–796

Volume 32 - Article 25 | Pages 775–796

... The statistical model controls for women’s sociodemographic characteristics and those of their marriages. In examining the effect of women’s decision-making autonomy on enrollment it is important to include in the ... See full document

24

Volume 21 - Article 32 | Pages 945–975

Volume 21 - Article 32 | Pages 945–975

... Recent labour migration should be distinguished from earlier migration movements. Tajikistan was affected by a huge wave of out-migration of the non- ethnically Tajik population in the years before and after independence ... See full document

34

Volume 22 - Article 32 | Pages 1015–1036

Volume 22 - Article 32 | Pages 1015–1036

... This study used three data sources to answer the research questions. First, we carried out a survey among Dutch employers. A random sample of companies in the Netherlands was drawn from the trade register of the Chamber ... See full document

24

Volume 23 - Article 32 | Pages 905–932

Volume 23 - Article 32 | Pages 905–932

... The goodness-of-testing themes echo the messages in favor of VCT as articulated at the global level and disseminated in Malawi. These themes appear in radio and newspaper accounts of speeches by health professionals or ... See full document

30

Volume 39 - Article 32 | Pages 883–896

Volume 39 - Article 32 | Pages 883–896

... about 20% each of sisters’ and brothers’ similarity in age at parenthood (Model 5), parental occupation explains approximately 25%, and together they explain about ... See full document

16

Volume 32 - Article 32 | Pages 873–914

Volume 32 - Article 32 | Pages 873–914

... of 20 (an increasing number of women in this class start their cohabitation when they are older than 25 years old) and have fewer children later in their ... See full document

44

Volume 36 - Article 19 | Pages 589–608

Volume 36 - Article 19 | Pages 589–608

... The focus of this paper is adult mortality. It has been shown that mortality fluctuations in the former Soviet Union are primarily explained by variation in mortality at adult ages. We thus focus on mortality at ages ... See full document

22

Volume 38 - Article 32 | Pages 879–896 

Volume 38 - Article 32 | Pages 879–896 

... Two types of reporting errors affect survey data on deaths from external causes. First, selective omissions happen when the likelihood of reporting siblings’ deaths depends on their causes of death. For example, a ... See full document

20

Volume 35 - Article 32 | Pages 961–990

Volume 35 - Article 32 | Pages 961–990

... In terms of student status, the theory of career uncertainty and the ideational theories predict that student status will be associated with higher odds of cohabitation vs.. 4.1.2 Educ[r] ... See full document

32

Volume 20 - Article 20 | Pages 495–502

Volume 20 - Article 20 | Pages 495–502

... Deaths come from the Mortality Information System of the Ministry of Health (SIM/Datasus). The SIM is a database that contains information about persons who died since 1979 in Brazil. Because the data are available only ... See full document

10

Volume 32 - Article 15 | Pages 443–486

Volume 32 - Article 15 | Pages 443–486

... the volume and composition of migration flows, but the analysis of the possible impact is beyond the scope of this ...the volume of net migration on the total population and the labor force by comparing ... See full document

46

Volume 32 - Article 17 | Pages 533–542 

Volume 32 - Article 17 | Pages 533–542 

... Like education, other forms of social status may also interact with gender to influence men’s and women’s relative risk of migration, but we lack studies of how the gender disparity [r] ... See full document

12

Volume 32 - Article 21 | Pages 621–656 

Volume 32 - Article 21 | Pages 621–656 

... The transition from fall to rise in TFR1 occurred when the increase in the width of the curve more than compensated for any further falls in peak rates; this explanation is valid for [r] ... See full document

38

Volume 32 - Article 7 | Pages 219–250 

Volume 32 - Article 7 | Pages 219–250 

... Compared to the traditional couple in terms of employment status, cohabiting couples with an inactive female partner and an unemployed male partner are around two[r] ... See full document

34

Volume 36 - Article 32 | Pages 905–944 

Volume 36 - Article 32 | Pages 905–944 

... These data sources, however, are insufficient in that they do not include the household roster and contain only limited information about household composition. Moreover, the HETUS application calculates user-defined and ... See full document

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