Unit root in unemployment - new evidence from nonparametric tests
AbstractWe apply Range Unit Root (RUR) tests to Organization for Economic Co-operation and Development (OECD) unemployment rates and compare the results to conventional tests. By simulations, we find that unemployment is represented adequately by a new nonlinear transformation of a serially correlated I(1) process.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics Letters.
Volume (Year): 18 (2011)
Issue (Month): 6 ()
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Web page: http://www.tandfonline.com/RAEL20
Other versions of this item:
- Jürgen Holl & Robert M. Kunst, 2009. "Unit Root in Unemployment - New Evidence from Nonparametric Tests," Vienna Economics Papers 0915, University of Vienna, Department of Economics.
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Schwert, G William, 2002.
"Tests for Unit Roots: A Monte Carlo Investigation,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 20(1), pages 5-17, January.
- Felipe Aparicio & Alvaro Escribano & Ana E. Sipols, 2006. "Range Unit-Root (RUR) Tests: Robust against Nonlinearities, Error Distributions, Structural Breaks and Outliers," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(4), pages 545-576, 07.
- Magnus Gustavsson & Par Osterholm, 2006. "Hysteresis and non-linearities in unemployment rates," Applied Economics Letters, Taylor & Francis Journals, vol. 13(9), pages 545-548.
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