Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 2

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  sequence analysis
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
EN
Drawing upon the trajectory-based (holistic) approach, this article compares early family trajectories observed during the socialist period with those after the transition to a market economy in the Czech Republic. It aims (1) to provide an empirical analysis of change in the heterogeneity of early family trajectories between the ages of 18 and 35 and (2) to identify their distinct patterns. To do this an entropy index and optimal matching analysis is applied. The paper uses data from the ISSP 2002, which included questions on partnership and family history in the Czech Republic. The findings show that the process of de-standardisation is quite complex and non-uniform. Cohorts born from the 1970s on experience more diverse early family trajectories than older cohorts, mainly due to increasing unmarried cohabitation. However, in the cohort born in the 1980s we can observe a reversal trend of declining diversity of family statuses in the subjects’ early twenties due to the postponement of family related transitions. Even among older birth cohorts, who experienced their family starts under the socialist regime, it is possible to find a certain plurality of family starts, differentiated by the level of education.
PL
Głównym celem artykułu jest empiryczne ujęcie pojęcia trajektorii i wykorzystanie go do opisu przebiegu życia w kontekście aktywności edukacyjno-zawodowych. Skupiono się przede wszystkim na przedstawieniu metody badania, w mniejszym stopniu zaś na wynikach analiz. Przeprowadzono je na danych pochodzących z badania Uwarunkowania decyzji edukacyjnych, wykorzystano przy tym techniki analizy sekwencji. Na podstawie informacji o osobach będących w wieku 65 i 35 lat wyodrębniono segmenty wskazujące na istnienie wyraźnie różnych trajektorii karier zawodowych. W obu grupach zidentyfikowano segment wyróżniający się długimi i stabilnymi epizodami bierności zawodowej. Następnie za pomocą modelu regresji logistycznej opisano szanse znalezienia się w tym segmencie w odniesieniu do indywidualnych charakterystyk badanych. Zarówno w przypadku osób będących w wieku 35 lat, jak i 65 lat wystąpił istotny (negatywny) wpływ wykształcenia na prawdopodobieństwo znalezienia się w grupie zagrożonej długotrwałą biernością. Płeć, jako osobny czynnik, w obu grupach wieku nie była istotnym statystycznie współczynnikiem. Wśród 35-latków istotnym zagrożeniem długotrwałą biernością wyróżniały się osoby, które nie uczęszczały do przedszkola, a także kobiety wykonujące zawody o niskim stopniu złożoności (zaliczane do szóstej i wyższych grup zawodów w klasyfikacji ISCO88).
EN
Most widely used information on changing trends in the supply and demand for labour is provided through cross-sectional research. However, in spite of the fact that cross-sectional data (e.g. the Labour Force Survey conducted by Eurostat) describes the working, unemployed and economically inactive population in great detail, it is still not sufficient to quantify the influence of individual choices on life cycle trajectories. The main purpose of this article is to elaborate on the concept of trajectories in social sciences using empirical evidence and utilise this theory in order to describe the life cycle of two age groups with reference to educational and professional activities. To the author’s best knowledge, this work is one of the first applications of sequence analysis using data collected in Poland from The determinants of educational decisions panel study. The paper focuses mainly on presenting the research method, and to a lesser extent on the results. Two age groups were selected for the analyses: 35- and 65-year-old respondents. In both age groups, a segment of respondents with long and stable periods of economic inactivity was identified. Using a logistic regression model, the probability rate of belonging to the segment of lengthy inactivity was calculated. For both age groups there was a strong (negative) effect of education, which reduced the chances of intensive inactivity. Gender, as a separate factor, was not statistically significant in either group. The 35-year olds who did not attend kindergarten and women in low and semi-skilled professions (belonging to the 6th and higher ISCO88 occupational groups) were characterised by a significantly higher risk of becoming inactive.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.