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2012 | 13 | 2 | 40-47

Article title

Unemployment rate for various countries since 2005 to 2012: comparison of its level and pace using functional principal component analysis

Content

Title variants

Languages of publication

EN

Abstracts

EN
We apply the functional principal component analysis to compare the unemployment rate in euro area, Japan and USA since 2005 to 2012. For preprocessing analysis we used B-splines system with roughness penalty for smoothing the data. The analysis enables to reveal the most important type of variation in unemployment rate and its pace's in examined countries.

Year

Volume

13

Issue

2

Pages

40-47

Physical description

Dates

published
2012

Contributors

  • Department of Econometrics and Statistics, Warsaw University of Life Sciences – SGGW
  • Department of Applied Mathematics, Warsaw University of Life Sciences –SGGW

References

  • Besse P.C., Cardot H. and Ferraty F. (1997) Simultaneous nonparametric regressions of unbalanced longitudinal data. Computational Statistics and Data Analysis. Vol. 24, 255-270.
  • Besse P. Ramsay J.O. (1989) Principal components analysis of sampled functions, Psychometrika, 51, 285-311.
  • Burgen E., Meyer B. and Tasci M. (2012) An Elusive Relation between Unemployment and GDP Growth: Okun’s Law. Cleveland Federal Reserve Economic Trends.
  • Ramsay J.O. and Dalzell C.J. (1991) Some tools for functional data analysis (with discussion). Journal of the Royal Statistical Society Series B, 53:539-572.
  • Ramsey J.O. and Silverman B. W. (2005) Functional Data Analysis. Second Edition, Springer, NY.
  • Weisstein E.W. B-Spline. From MathWorld. A Wolfram Web Resource. http://mathworld.wolfram.com/B-Spline.html

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-baac8493-1bd2-4d3d-a2e2-5c58885fdc6a
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