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PL
Zwiększające się zapotrzebowanie na rzetelną i aktualną informację na możliwie niskim poziomie agregacji jest rosnącym wyzwaniem dla polskiej statystyki publicznej. Zastosowanie integracji danych z różnych, w tym administracyjnych, źródeł umożliwia wykorzystanie informacji pełnej w sensie pokrycia oraz bogatej merytorycznie. Łączna obserwacja cech obserwowanych w oddzielnych zbiorach generuje efekt synergii zwiększający zasób wiedzy pochodzący z badań społeczno-ekonomicznych.
EN
Increasing demand for reliable and current information at the lowest possible level of aggregation is a growing challenge for the Polish public statistics. Application of data integration of different, including administrative, sources enables the use of information in terms of full coverage and rich in substance. The joint observation of variables observed in separate data collections generate a synergy effect increasing amount of knowledge derived from socio-economic research.
EN
The paper presents an application of spatial microsimulation methods for generating a synthetic population to estimate personal income in Poland in 2011 using census tables and EU-SILC 2011 microdata set. The first section presents a research problem and a brief overview of modern estimation methods in application to small domains with particular emphasis on spatial microsimulation. The second section contains an overview of selected synthetic population generation methods. In the last section personal income estimation on NUTS 3 level is presented with special emphasis on the quality of estimates.
Nauka
|
2023
|
issue 1
7-39
EN
Lifetime biographical and publication histories of 2,326 full professors were examined. A combination of administrative, biographical, and bibliometric data was used. Retrospectively constructed productivity, promotion age and speed classes were examined. About 50% of current top productive professors have been top productive throughout their academic careers, over 30–40 years. Topto- bottom and bottom-to-top transitions in productivity classes over academic careers are very rare. We used prestige-normalized productivity in which more weight is given to articles in high-impact than in low-impact journals, recognizing the highly stratified nature of academic science. The combination of biographical and demographic data with raw Scopus publication data from the past 50 years (N = 935,167 articles) made it possible to assign all full professors retrospectively to different productivity, promotion age, and promotion speed classes. In logistic regression models, there were two powerful predictors of belonging to the Top productivity class for full professors: being highly productive as associate professor and as assistant professor (increasing the odds by 180% and 360%). Neither gender nor age (biological or academic) emerged as statistically significant. Our findings have important implications for hiring policies as scientists stay in Polish academia usually for several decades.
Nauka
|
2022
|
issue 2
35-70
EN
In this text, we analyze the limitations of using academic age as a proxy for biological age in the whole national science system, for which we consider both biological age and academic age of all researchers from all Polish universities, holding at least a PhD degree and participating in global academic science through international publications (N = 20 569). An approximation of a researcher's functioning in global science is having at least one publication indexed in the Scopus database in the analyzed decade 2009–2018. Thus, using the example of comprehensive data from the entire national system of science, we estimate the extent of limitations of using academic age as a proxy for biological age depending on selected independent variables and analyze both the practical and methodological implications of using academic age in academic career research, which is one of the most important components of quantitative studies of science.
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