Modern Classification and Data Analysis: Methodology and Applications to Micro- and Macroeconomic Problems

by Krzysztof Jajuga (Editor), Grazyna Dehnel (Editor), Marek Walesiak (Editor)

Overview

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 Poznań, Poland, September 8–10, 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.

Product Details

ISBN-13:	9783031101892
Publisher:	Springer International Publishing
Publication date:	10/16/2022
Series:	Studies in Classification, Data Analysis, and Knowledge Organization
Edition description:	1st ed. 2022
Pages:	384
Product dimensions:	6.10(w) x 9.25(h) x (d)

About the Author

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.

Grażyna Dehnel is an Associate Professor at the Department of Statistics, Poznań 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.

Table of Contents

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.