[PDF] Top 20 Volume 40 - Article 2 | Pages 27–48 

... Figure 2, the same association is shown for a given country; in other words, this figure examines how the relationship between gender equality and fertility has covaried within a society (for readability I show ... See full document

... In summary, while recognizing the limitations of this approach due to the lack a de- tailed quantitative measurement of transfers, our analyses in Figure 6 suggest that net non-financial transfers are relatively ... See full document

... Between 1990 and 2010, the IRS used the same procedures to process the county-to- county migration data. However, in 2011 the IRS introduced a new method for processing the migration data and introduced ‘enhancements’ to ... See full document

... Finally, the correlation between relationship characteristics and partnership trajectory almost completely disappears in the modelling process. This is particularly the case for the length of the relationship. Only ... See full document

... around 2 years for most cohorts, but of course men from a certain cohort can marry women from all cohorts on the marriage ...and 27, during the war years, the proportion married rose only slowly, but after ... See full document

... In all the out-of-sample scenarios, we saw substantial improvements in coverage for HIV countries after accounting for HIV prevalence and ART coverage. We broke down the two-period out-of-sample exercise into the two ... See full document

... week, 2) 35‒40 hours per week, and 3) more than 40 hours per ...education, 2) both have tertiary education, 3) man has tertiary education but not the woman, and 4) woman has tertiary education ... See full document

... Besides socio-demographic data on each household member and on the household (family structure, economic conditions, geographical area of residence), the survey provided information on the geographical distance and ... See full document

... Our research data set was based on 34,135 individuals who identified themselves as Lutherans in the 1897 census. To analyse the mortality differentials, individual death records were linked to corresponding census ... See full document

... 0.681 2 and 1.938 2 , ...1.811 2 in this ...1.819 2 , and when I include only an individual-level error term with variance ...2.056 2 in the simulation, the estimated variance is 1.946 ... See full document

... 2. The second aspect refers to “educational homogamy”, which is relatively common in Germany. (For a detailed discussion, see Wirth 2000.) For example, 60 percent of all women in our sample live with a partner ... See full document

... The fertility profiles of these birth cohorts distinguish themselves from one country to another (Figure 2). In France we see a fertility curve symmetric around the peak of fertility for each group of birth ... See full document

... An additional descriptive analysis that included data on only the 207 couples who had given birth to a first and a second child since the collection of the prospective panel data started reveals a considerable and even ... See full document

... where MC/Year is the mean convergence per year, z t1 the standardised data at the earlier date, z t2 the standardised data at the later date, t1 the earlier date, and t2 the later date. True, this statistics implicitly ... See full document

... In addition to the TFRs, age-and parity-specific fertility rates (ASFRS and PSFRS) are calculated and plotted by calendar year in order to find out whether the change in fertility [r] ... See full document

... In the past, mortality changes did not correspond exactly to the simple Gompertz model discussed in Section 3, but nonetheless prospective ages computed using period and cohort life tables were quite similar. In this ... See full document

... The rationale is three-fold. First, I wanted a general mathematical representation of Bongaart’s “life extension” pill (Bongaarts and Feeney 2003) allowing for continuous variation in age and time. This is accomplished ... See full document

... Figure 2 presents the map of factor scores for male Factor 3. Montana and Wyoming lead the way in injury mortality, with other states in the Mountain time zone also exhibiting high scores. States with large urban ... See full document

... Studies on the economic consequences of partnership dissolution have shown that women (and their dependent children) are often the losers of divorce; they experience a considerable los[r] ... See full document

... As previously noted, Switzerland hosts one of the largest shares of both recent and long-settled migrants in Europe. In 2014, the share of residents with a foreign background accounted for 22% of the total population, ... See full document