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Analiza porównawcza efektywności metod redukcji zmiennych - analiza składowych głównych i analiza czynnikowa

100%
Czopek A.
Studia Ekonomiczne
|
2013
|
vol. 132
7-23
EN
Principal component analysis and factor analysis are the two most popular methods that allow to bring a large number of studied variables to a much smaller number of mutually independent principal components or factors. New variables (principal components or factors) retain a relatively large part of the information contained in the original variables, while each of them is a carrier of other substantive content. Both of these methods of reduction of the variables are often used, because too many pending attributes increases the range of the difficulty of interpretation. The main reason of undertaking the project is an attempt to show, that the abovementioned methods, although they are very similar, cannot be indentified. Despite the fact, that in both cases eigenvalues are calculated, factor loadings, etc., but still there are differences in the way of action, about which it must be remembered. So the usage of these names the variables are unacceptable. The article consists of three parts. The first and second chapter are devoted, respectively, to the analysis of the principal components and factor analysis, where a short characterization of these methods had been made. In the third chapter, on the basis of an empirical example, we compared the effectiveness of the principal components analysis and factor analysis.
2
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Classifying occupational threats posed to knowledge workers as a response to one of the social aspects of sustainable development concerning occupational health and safety

100%
Lotko A., Lotko M.
Central European Review of Economics & Finance
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2014
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issue Vol. 6, No 3
21-42
EN
The goal of this study was to discover, weather using different multidimensional exploratory techniques in self-assessing occupational threats by knowledge workers brings logical classification of variables and if obtained classifications are similar. In a theoretical part of the study, on a basis of literature studies peculiarity of knowledge-based work and specific occupational threats were identified. Then, in the empirical part of the study, they were examined as observable variables with the use of a questionnaire method on a sample of 500 knowledge workers. Variables were classified using two multidimensional exploratory techniques: factor analysis and cluster analysis. The obtained results were compared. It turned out, that the results achieved with the use of the two techniques are similar, yet they differ in detail. The implications are of both cognitive and utilitarian character. In first case - the analysis revealed and explained the structure of perception of knowledge workers' occupational threats, in second - the classification of variables allows to measure perception of occupational threats and use the results e. g. when designing trainings on occupational health and safety and to better fit them to this group of employees. The paper's contribution are novel ways of quantifying and measuring occupational threats posed to knowledge workers as well as a comparison of the proposed methods.(original abstract)
3
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Dolny Śląsk jako najdynamiczniejszy region w kraju - efekt statystyczny czy rzeczywisty wszechstronny rozwój?

84%
Cybulski L.
Studia Ekonomiczne
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2015
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vol. 209
42-53
EN
Regional development analyses are often affected by simplifications coming from heuristic reasoning. It is assumed that the Lower Silesia region has the highest growth rate since 2005 due to proper configuration of growth factors. But this hypothesis is false when one takes into account persistent high unemployment rate and low employment, average innovativeness, increase in interregional disproportions and low domestic demand due to slow increase of households' disposable incomes. Author tries to identify real sources of the Lower Silesias economic growth.
4
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Prognozowanie wybranego subindeksu CPI przy użyciu danych Google Trends

84%
Marynowska A.
Studia Ekonomiczne
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2018
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vol. 375
55-72
PL
Prognozy inflacji mają bezpośredni wpływ na prowadzenie polityki monetarnej państwa oraz odgrywają dużą rolę w uświadamianiu społeczeństwa o potrzebie wprowadzenia ewentualnych zmian w sposobie jej prowadzenia. W celu zapewnienia trafności konstruowanych prognoz stale poszukuje się zmiennych, które istotnie wpływają na inflację. Celem artykułu jest sprawdzenie, czy dane udostępniane przez serwis Google Trends mogą poprawić dokładność prognoz komponentów CPI związanych z sektorem transportowym. Dla każdego z subindeksów zbudowano modele prognostyczne uwzględniające zmienne wpływające na poziom wybranych cen, modele wzbogacone o hasła z wyszukiwarki Google i modele zawierające w swojej specyfikacji wspólne czynniki opisujące zmienność 32 wybranych haseł Google.
EN
Inflation forecasts determine the monetary policy and can be treated as a way of raising society’s awareness of the fact that it needs certain adjustments. Experts continuously seek for the adequate variables that affect the level of inflation. In this paper the author examines whether Google Trends improve forecast of three chosen CPI components related to transport. The Author created a prognostic model for each of the components. Created models include: independent variables such as oil price and rate of excise duty, chosen variables together with statistics provided by Google Trends or principal components (explaining 32 google variables’ volatility) accordingly.
5
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Metaanaliza środowiska instytucjonalnego krajów Unii Europejskiej

84%
Pietrucha J., Pasionek J.
Studia Ekonomiczne
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2016
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vol. 286
120-133
PL
W artykule przeprowadzono metaanalizę istniejących wskaźników środowiska instytucjonalnego dla krajów Unii Europejskiej oraz wybranych innych krajów europejskich w celu uzyskania wskaźników niosących unikalną informację, w zgodzie z hipotezą mówiącą, że przynajmniej w części wskaźniki z istniejących baz danych zawierają wspólną informację dotyczącą rozwiązań instytucjonalnych. Wskaźniki stworzono z wykorzystaniem analizy czynnikowej. Dokonano redukcji liczby zmiennych do 5 wyjaśniających ponad 75% zmienności wyjściowej bazy danych. Wyodrębniono: instytucje gospodarcze, instytucje polityczne, instytucje fiskalne oraz dwa czynniki obejmujące szczegółowe rozwiązania w zakresie instytucji określających prowadzenie działalności gospodarczej.
EN
Aim of the paper is to conduct a meta-analysis of existing indicators of the institutional environment for the EU countries and some other European countries in order to collect indicators of carrying unique information in accordance with the hypothesis that at least some indicators from existing databases contain the same information on the institutional arrangements. Using factor analysis we reduce the number of variables to 5, which explain more than 75% of the variability of the initial database. Five main components of the studied phenomenon were distinguished, i.e. economic institutions, political institutions, fiscal institutions and two factors including the specific solutions for institutions determine economic activity.
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