This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented at the 30th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2021, held online in Pozna, Poland, September 810, 2021.
Providing a balance between methodological and empirical studies, and covering a wide range of topics, the book is divided into five parts focusing on methods and applications in finance, economics, social issues and to COVID-19 data. The book is aimed at a wide audience, including researchers at universities and research institutions, PhD students, as well as practitioners, data scientists and employees in public statistical institutions.
Methods.- Abstract Fuzzy Cognitive Maps as a Toll for Structuring New
Research Problems.- Identification of key concerns and sentiments towards
data quality and data strategy challenges using Sentiment Analysis and Topic
Modeling.- Survival Trees and Direct Adjusted Survival Curves - Prediction of
Survival Probabilities.- A Measure of Cluster Stability in Dynamic Cluster
Analysis.- Outlier Identification for Symbolic Data with the Application of
the DBSCAN Algorithm.- An optimised selection of statistical disclosure
control methods a case study involving microdata from the Polish survey of
accidents at work.- Applications in Finance.- Comparison of Influence of
Various Proposals of Transforming Nominants Into Stimulants on Linear
Ordering and Grouping of Listed Companies.- Attributes affecting the exposure
time of a residential property.- Determinants of the real estate prices in
Poland.- Similarity of open-ended mutual funds during a pandemic. Research
for equity and bond funds.-Applications in Economics.- Application of random
forests in the study of differences in perception of the neighbourhood of
national parks in the Euroregion Pomerania.- Successes and failures of
scientific journals and their determinants.- Spatial effects in regional
inequality analysis of own income potential among Polish communes.-
Evaluation of quality of neural network models and discriminant analysis in
ROPO forecasting.- The Application of Survival Analysis Methods in the
Examination of Foreign Divestment in Poland.- Longevity risk versus longevity
dividend.- Applications in Social Issues.- Application of the Intuitionistic
Fuzzy Synthetic Measure in the subjective quality of life measurement based
on survey data.- Measuring Subjective Poverty: Methodological and Application
Aspects.- Graphic characters as Twitter age group identifiers.- Cluster
Ensemble Stability in Clustering of EU Members in Terms of Sustainable
Development Goals.- Perception of climate change differences between the Y
and BB generations.- Applications with COVID-19 Data.- Cash and non-cash
payments for in-store purchases during the COVID-19 pandemic - similarities
and differences between Generation X and Generation Y consumers. Case of
Poland.- Regional labour markets as a result of the impact of the COVID-19
pandemic a Polish-German borderland case study.- The Labour Market
Consequences of the COVID-19 Pandemic in the European Union Countries:
Selected Issues.- Analysis of the excessive number of deaths related to the
COVID-19 pandemic in European countries.
Krzysztof Jajuga is a Professor of Finance and Statistics and Chair of the Department of Financial Investments and Risk Management at the Wroclaw University of Economics and Business, Poland. He has been a Visiting Professor at several universities in the USA, Europe and China and holds an honorary doctorate from Cracow University of Economics and an honorary professorship from Warsaw University of Technology. His scientific interests include financial econometrics and financial markets, risk analysis and management, household finance and multivariate statistics.
Grayna Dehnel is an Associate Professor at the Department of Statistics, Pozna University of Economics and Business, Poland. Her main research interests include small area estimation, classification and data analysis methods, survey sampling, and short-term and structural business statistics. She is also interested in outlier robust regression applied on business data and data integration.
Marek Walesiak is a Professor of Economics, and Chair of the Department of Econometrics and Computer Science at the Wroclaw University of Economics and Business, Poland. He is a member of the Methodological Commission and the Scientific Statistical Council in Statistics Poland (GUS) and an active member of many scientific professional bodies, including the Section of Classification and Data Analysis (SKAD). His scientific interests are in classification and data analysis, composite indicators, multivariate statistical analysis, marketing research, and computational techniques in R.
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