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EN
The analysis, based on a Polish national sample from 2006, aims to cast light on the regional variation in the effect of education on incomes. Building on the conceptual framework developed in the theory of human capital we investigate to what extent pay-offs for human capital differ across detailed administrative districts in Poland. By incorporating contextual characteristics, we examine how micro- and macro-level factors shape labour market outcomes. Our findings provide further support for the hypothesis that there is much regional variation in the influence of education on incomes, which suggests that there are better and worse places for the development of a meritocratic distribution of incomes. It appears that education pays more highly in more economically-developed regions, marked by a higher rate of occupational activity.
EN
The article reviews scientific publications in which the authors use the data from SHARE survey in the income and poverty analysis. Scientists who use SHARE in the analysis of the economic situation of the 50+ population con­lude how such live transition events as retirement, unemployment, health deterioration, death of a spouse, children leaving home affect wellbeing of the respondents. The authors referred to indicate demographic characteristics of the older people afflicted by poverty and list factors which reduce risk of poverty among 50+ population. The data on incomes, wealth holdings and food expenditures collected in SHARE survey along with information about respondent’s health status, live histories, childhood conditions, labour market activity and demographic variables renders SHARE data the dataset with broad applications in analyses of incomes and poverty of the 50+ population.
PL
Artykuł stanowi przegląd publikacji naukowych, w których dane z badania SHARE posłużyły do analiz dochodów i ubóstwa respondentów. Naukowcy wykorzystujący SHARE w badaniach sytuacji ekonomicznej populacji 50+ dostarczają wniosków o tym, jak wraz ze zdarzeniami, jak np. przejście na emeryturę, bezrobocie, pogorszenie stanu zdrowia, śmierć współmałżonka lub wyprowadzka dzieci, zmienia się dobrobyt respondentów. Cytowani autorzy określają cechy demograficzne respondentów dotkniętych ubóstwem i czynniki redukujące ryzyko ubóstwa. Zbierane w SHARE informacje o dochodach, wartości majątku, wydatkach na żywność oraz możliwość odniesienia ich do stanu zdrowia respondentów, historii życia, warunków dorastania, aktywności na rynku pracy, zmiennych demograficznych czynią z SHARE zbiór danych o szerokich zastosowaniach w zakresie analiz dochodów i ubóstwa osób populacji 50+.
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