Aim/purpose-The aim of the paper is to compare the statistical picture of aging of the urban population of the Wielkopolskie Province in terms of two typologies: TERYT and DEGURBA. Design/methodology/approach-Selected demographic aging measures for years 2010 and 2016 were calculated for 112 towns according to TERYT typology and for 53 urban areas according to DEGURBA classification. The demographic aging measures were the following: median age, parent support ratio, aging index, elderly dependency ratio, proportion of population aged 65 and over and total dependency ratio. Findings-TERYT classification using the formal and legal status of the city gives a slightly different picture in relation to urban areas defined based on the DEGURBA classification. The results obtained showed that the population aging process was slightly less intense in urban areas in 2016 according to the DEGURBA typology, compared with the indicators for the city group separated on the basis of the TERYT register identifier. Research implications/limitations-The results obtained are promising. The implications of the approach presented are at least twofold. At the methodological level, the paper presents an alternative possibility of distinguishing urban areas based on the DEGURBA classification in relation to the TERYT classification. However, in the cognitive layer, it shows differences in the aging of urban areas distinguished on the basis of these two classifications. These implications are limited only to the so-called traditional demographic aging measures and to urban population in the Wielkopolskie Province. To overcome these limitations further analysis should include, first of all, extending the research to the whole country.
Market basket analysis, which is a method of discovering co-occurrence relationships, is widely used for the purposes of marketing research and e-commerce, mainly by supermarkets and online stores. Moving beyond the traditional notion of a market basket understood as a fixed list of products, the technique can be applied for data mining in other fields of research which do not involve traditional transactions and purchases made by customers. The following article describes theoretical aspects of market basket analysis with an illustrative application based on data from the National Census of Population and Housing 2011 with respect to marital status. This is the first application of market basket analysis to census data to be conducted in Poland, in which attributes of the market basket have been replaced with respondents' demographic characteristics. This approach makes it possible to identify relationships between legal (de jure) marital status and actual (de facto) marital status, taking into account other basic socio-demographic variables available in large datasets. Using the R software to generate choropleth maps classified by province as a method of visualizing association rules, it was possible to conduct a spatial analysis of the phenomenon of interest.
The aim of the research is to present the application of calibration approach in the tracer study of the Poznań University of Economics and Business graduates conducted within the ”Staff for Economy” project and partnered by the Statistical Office in Poznań. The obligation to carry out tracer studies was imposed on universities by the legal acts concerning the process of monitoring graduates professional careers. The most important problem in the research was nonresponse of monitored graduates, which influenced the results obtained due to non-random error. The use of calibration applied in representative surveys to correct weights resulting from the sampling scheme showed, by choosing the appropriate auxiliary variables, how the negative impact of the lack of response can be reduced in full graduates tracer study. The article presents in detail the scope of research and theoretical basis of calibration. It describes also the use of auxiliary variables in the creation of calibrated weights which could then be included in the tabulation process and graphical presentation of results. Additionally, the article raises the issues of assessing the precision of estimation results.
The aim of the paper is to review and compare the processes of population ageing in Polish urban areas. The study presents a novel approach to the problem, because in addition to measuring this phenomenon according to the National Official Register of the Territorial Division of the Country (TERYT) classification, it also measures population ageing according to the classification for urban areas (LAU 2 units)-Degree of Urbanisation (DEGURBA). Several traditional demographic measures for population ageing were applied, such as the median age, parent support ratio, ageing index, elderly dependency ratio, share of people aged 65 and older, and total dependency ratio. Also, Chu's alternative measure of population ageing accompanied by a dynamic version of ageing index was computed. The values of these indicators for 2016 were compared with those for 2010. The authors carried out a more detailed analysis of the differences between the ageing of populations in urban areas according to the degree of urbanization (DEGURBA), and compared the outcome with the results of the TERYT-based measurement (the traditional administrative territorial division). The comparison of the outcomes of both the above-mentioned ways of measuring the phenomenon of population ageing showed discrepancies, namely the ageing process measured according to the DEGURBA typology proved to be less intensive than the same process assessed according to the TERYT typology. This indicates that there are differences between the statistical pictures of population ageing in urban areas depending on whether demographical and morfological aspects are taken into consideration or not.
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