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Wpływ powszechnych systemów emerytalnych na płodność

100%
Zwierzchowski J.
Gospodarka Narodowa. The Polish Journal of Economics
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2009
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vol. 231
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issue 4
75-89
EN
The paper aims to show the way in which pension systems affect fertility rates. The author outlines the history of pension systems and traces changes in fertility. The article includes a brief overview of demographic theories and tells the reader why these approaches are inadequate in explaining fertility trends. In his analysis, Zwierzchowski makes use of the overlapping generations model (OLG) to show why and under what circumstances pensions may discourage people from having children. After further theoretical research, the author concludes that the negative influence of pension systems on fertility could be neutralized by the introduction of a public assistance program targeted at parents. The costs of such a program could be covered by those who do not have children, Zwierzchowski says. While today’s welfare state systems cover some of the costs of bringing up children, it is unclear to what extent this assistance neutralizes the negative impact of pension systems on fertility, Zwierzchowski notes.
2
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Measurement of Subjective Well-being under Capability Approach in Poland

63%
Zwierzchowski J., Panek T.
Polish Sociological Review
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2020
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vol. 210
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issue 2
157-178
EN
As a part of the European Statistical System, a general concept of measuring the quality of life was presented, defining its dimensions and partial indicators. The methodological objective of the study is to operationalize the measurement of subjective well-being(SW-B). The proposed method of measuring SW-B is based on the above concept, while incorporating the Sen’s capabilities approach. The operationalization was performed using the MIMIC model. This model incorporates both observable functionings (SW-B indicators) and sociodemographic characteristics of individuals (conversion factors). The two sets of variables are linked through the latent capabilities, which are interpreted as the SW-B measures. Empirical analysis of the SW-B in Poland in 2015 was conducted using EU-SILC data. Characteristics influencing the SW-B were identified. The SW-B depends mostly on self-perceived health and material deprivation. Moreover, higher values of SW-B were observed for those who work, have 1–2 children and are highly educated.
3
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Has Economic Growth in Balkan Countries Been Pro-Poor in the 2012–2017 period?

63%
Zwierzchowski J., Panek T.
Central European Economic Journal
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2022
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vol. 9
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issue 56
76-92
EN
The study investigates whether economic growth in the Balkan countries was pro-poor in the most recent period. We also try to establish to what extent various measures of pro-poorness of economic growth produce consistent and comparable results. Firstly, concepts of pro-poor growth are defined and corresponding approaches toward measuring pro-poor growth are presented. We distinguish between measures based on a general class of pro-poor indices and a dominance-based techniques. In the empirical part of the study, we verified whether economic growth in six Balkan countries (Greece, Bulgaria, Romania, Slovenia, Croatia and Serbia) was pro-poor in the 2012–2017 period. The analyses is based on the latest available panel data of the European Union Survey on Income and Living Conditions (EU-SILC). Growth was pro-poor in Croatia, Romania and Slovenia during the whole analysed period. The growth pattern was non pro-poor in Bulgaria, Greece and Serbia in certain years, mainly during periods of economic downfall. Various measures of pro-poor growth patterns do not produce consistent results in all instances. The results of the conducted comparative analysis suggest that the level of social benefits does not directly influence the pro-poor nature of the economic growth.
4
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Assessing the effect of new data sources on the consumer price index: a deterministic approach to uncertainty and sensitivity

51%
Białek J., Panek T., Zwierzchowski J.
Statistics in Transition new series
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2022
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vol. 23
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issue 3
1-25
EN
One of the greatest challenges facing official statistics in the 21st century is the use of alternative sources of data about prices (scanned and scraped data) in the analysis of price dynamics, which also involves selecting the appropriate formula of the price index at the elementary group (5-digit) level. When consumer price indices of goods and services are constructed, a number of subjective decisions are made at different stages, e.g. regarding the choice of data sources and types of indices used for the purpose of estimation. All of these decisions can affect the bias of consumer price indices, i.e. the extent to which they contribute to the overall uncertainty about the resulting index values. By measuring how robust consumer price indices are, one can assess the impact that the decisions made at the different stages of index construction have on the index values. This assessment involves analysing uncertainty and sensitivity. The purpose of the study described in the article was to determine how much and in which direction the consumer price index changes when including scanner and scraped data in the analysis, in addition to the data on prices collected by enumerators. The impact of these new data sources was assessed by analysing uncertainty and sensitivity under the deterministic approach. To the best of the authors' knowledge, it is a novel application of robustness analysis to measure inflation using new data sources. The empirical study was based on data for February and March 2021, while scanner and scraped data about selected categories of food products were obtained from one retail chain operating hundreds of points of sale in Poland and selling products online. It was found that the choice of a data source has the most significant impact on the final value of the index at the elementary group level, while the choice of the aggregation formula used to consolidate different data sources is of secondary importance.
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