SignificanceIndia will soon be the world’s most populous country, but in terms of human capital and, consequently, Gross Domestic Product per capita, it has been trailing behind China. While some economists believe that India’s younger population will be an advantage over China’s aging one, here we show that much will depend on future investments in education and health and thus human capital. In terms of methodology, this paper addresses the question of what sources of observable population heterogeneity should be explicitly incorporated in population projections. It suggests that the dominant model of considering only the age and sex structures at the national level should be complemented by multidimensional models depending on the importance of heterogeneity and substantive user interest in the additional dimensions.

Out of 29, 16 (55 %, intent to treat, or 76 %, per protocol) girls were successfully treated, 5 (17 or 24 %) had a "poor outcome", and 8 (28 %) dropped out. BMI, eating behavior, mood, social anxiety, self-care, and self-efficacy persistently improved. Anorexic girls had multiple emotional deficits, low self-confidence, and exaggerated needs of control and of being accepted. Emotional deficits were resistant to change. Hedonistic activities, social skills, and recovery from depression were positive, comorbid disorders and parental psychopathology negative prognostic factors.

This study explores stratification within the Austrian university system by focusing on social selectivity and gender-segregation across fields of study. We investigate how much the choice of field of study is associated with parental educational background and the gender of the students—especially, how these characteristics vary across individual (teaching) subjects. Teacher training is often regarded as typically chosen by women and preferred by so-called educational climbers. However, previous studies focus on clusters of fields of study and do not take into account the differences between individual (teaching) subjects. We address this research gap by focusing on a comparison between those who have chosen to undergo a teaching program in a specific subject and those who have studied this specific subject without pedagogical training. By using administrative data from first-year students at Austrian state universities ( N = 23,400) in 2016–2017, and applying logistic regression analysis, the results demonstrate that in almost all analyzed fields of study, similar patterns of gender-segregation according to the choice of fields of study can be observed, regardless of whether it concerns a teacher training subject or a corresponding equivalent academic subject. Educational climbers tend to opt more frequently for teacher training subjects than for their corresponding fields—especially in some of the mathematics-oriented science, technology, engineering, and mathematics (STEM) subjects. We contribute to comparative sociological literature by introducing the approach of comparing teacher training subjects to their academic equivalents and revealing a more nuanced picture regarding horizontal inequalities in higher education.

Celem prezentowanego badania jest sprawdzenie hipotezy dotyczącej awansu społecznego studentów narodowości austriackiej, rozpoczynających naukę na uniwersytetach w Austrii na kierunkach biznesowych, zarządzania oraz ekono‑ mii. W ramach badania określono korelacje pomiędzy wyborem kierunku studiów a  wykształceniem średnim oraz wyborem kierunku studiów a  płcią. Uzyskane wyniki wskazują na istnienie wyraźnie ustrukturyzowanej przestrzeni uniwer‑ syteckiej. Hipoteza o wyborze kierunku studiów pod kątem awansu społecznego potwierdza się. Badania wykazały również feminizację analizowanych kierunków z  obszaru biznesu i  zarządzania: kobiety istotnie częściej wybierają kierunki otwierające drogę do kariery w kontekście pedagogicznym (edukacja biznesowa), społecznym (ekonomia społeczna) i językowym (międzynarodowy biznes i zarzą‑ dzanie). Na kierunku ekonomia stwierdzono istotnie wyższy odsetek studentów płci męskiej oraz najniższy odsetek osób traktujących wyższe wykształcenie jako drogę do awansu społecznego. Słowa kluczowe: biznes i  zarządzanie, ekonomia, kierunki studiów, wyższe wykształcenie, habitus, stratyfikacja, płeć, awans społeczny, Austria.

Multidimensional unfolding applies distance models and scaling techniques to rectangular matrices of preference and attitude data. We discuss metric and nonmetric variants with optional restrictions on the configurations.

The well-known problems of decreasing birth rates and population ageing represent a major challenge for the Austrian pension system. It is expected that the group of pensioners will grow steadily in the future, while the proportion of people that support them – the taxpayers – will shrink. In this regard, microsimulation provides a valuable tool to identify the impact of various policy measures. With microsimulation, it is not only possible<br />to predict cross-sectional data (e.g., the distribution of age groups in 2050), but also to simulate lifecourses of people, providing longitudinal outcomes. The demographics module is the first in a series of modules that are part of a microsimulation prototype. This prototype is being developed in order to predict the long-term evolution of Employment Biographies in Austria.

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