Functional Exploratory Data Analysis of Unemployment Rate for Various Countries

• Autorzy: Stanisław Jaworski
• Języki publikacji: EN

Abstrakty

EN

Functional exploratory techniques are applied in the analysis of an unemployment rate. The rate is smoothed into differentiable function in order to facilitate the analysis. The main aim of the analysis is assigned to find out the unemployment curves which do not follow the same pattern as that of the other ones. (original abstract)

Słowa kluczowe

PL

Stopa bezrobocia; Analiza skupień; Analiza danych

EN

Unemployment rate; Cluster analysis; Data analysis

• Czasopismo: Metody Ilościowe w Badaniach Ekonomicznych / Szkoła Główna Gospodarstwa Wiejskiego
• Rocznik: 2013
• Tom: 14(XIV)
• Numer: nr 1
• Strony: 180-189

Twórcy

autor

Stanisław Jaworski

• Szkoła Główna Gospodarstwa Wiejskiego w Warszawie

Bibliografia

• Burgen E., Meyer B., Tasci M. (2012) An Elusive Relation between Unemployment and GDP Growth: Okun's Law. Cleveland Federal Reserve Economic Trends.
• Cuevas A., Febrero-Bande M., Fraiman R. (2007) Robust Estimation and Clasification for Functional Data via Projction-Based Depth Notions, Computational Statistics, 22(3), 481-496.
• Febrero-Bande M., Galeano P., Gonzales-Manteiga W. (2008) Outlier Detection in Functional Data by Depth Measures, with Application to Identity Abnormal NOx Levels, Environmetrics, 19(4), 331-345
• Ferraty F., Vieu P. (2006) Nonparametric Functional Data Analysis, Springer Series in Statistics. Springer-Verlag, New York. Theory and practice.
• Furmańczyk K., Jaworski S. (2012) Unemployment rate for various countries since 2005 to 2012: comparison of its level and pace using functional principal analysis. Quntitative Methods in Economics, Vol. XIII, No 2, pp. 40-47.
• Horváth L., Kokoszka P. (2012) Inference for Functional Data with Applications, Springer Series in Statistics.
• Ramsay J.O., Silverman B.W. (2005) Functional Data Analysis. Second Edition, Springer, NY.