Testing for unit roots in time series with nearly deterministic seasonal variation
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DOI: 10.1080/07474939708800397
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- Zacharias Psaradakis, 1996. "Testing for Unit Roots in Time Series with Nearly Deterministic Seasonal Variation," Archive Discussion Papers 9602, Birkbeck, Department of Economics, Mathematics & Statistics.
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Cited by:
- Swanson, Norman R. & Urbach, Richard, 2015.
"Prediction and simulation using simple models characterized by nonstationarity and seasonality,"
International Review of Economics & Finance,
Elsevier, vol. 40(C), pages 312-323.
- Norman Swanson & Richard Urbach, 2013. "Prediction and Simulation Using Simple Models Characterized by Nonstationarity and Seasonality," Departmental Working Papers 201323, Rutgers University, Department of Economics.
- Rotger, Gabriel Pons, "undated". "Testing for Seasonal Unit Roots with Temporally Aggregated Time Series," Economics Working Papers 2003-16, Department of Economics and Business Economics, Aarhus University.
- Antonio Rubia, 2001. "Testing For Weekly Seasonal Unit Roots In Daily Electricity Demand: Evidence From Deregulated Markets," Working Papers. Serie EC 2001-21, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Yoshinori Kawasaki, 1996. "A Model Selection Approach to detect Seasonal Unit Roots," Tinbergen Institute Discussion Papers 96-180/7, Tinbergen Institute.
- Paulo Rodrigues & Denise Osborn, 1999. "Performance of seasonal unit root tests for monthly data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(8), pages 985-1004.
- Taylor, A. M. Robert, 1997. "On the practical problems of computing seasonal unit root tests," International Journal of Forecasting, Elsevier, vol. 13(3), pages 307-318, September.
- John Ashworth & Barry Thomas, 1999. "Patterns of seasonality in employment in tourism in the UK," Applied Economics Letters, Taylor & Francis Journals, vol. 6(11), pages 735-739.
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Keywords
and Phrases; Generalized Least Squares; Monte Carlo Experiments; Moving Average; Prewhitening; Seasonality; Unit Roots;Statistics
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