Is There Seasonality in Pakistan’s Merchandise Exports and Imports? The Univariate Modelling Approach
AbstractThis paper investigates the existence of seasonal patterns in the quarterly merchandise export and import data of Pakistan from 1982: 1 to 2002: 1. Unit root tests are applied to determine whether the seasonal component in each variable exhibits stochastic non-stationarity. Deterministic and stochastic effects are isolated and quantified. Few alternate DGP specifications are identified, fitted and tested for their outof- sample forecasting performance. A tentative finding is that deterministic effects are relatively more important than stochastic ones. However, integrated models, i.e., ARIMA, mixed ARIMA, and ARIMA-GARCH, outperform deterministic models with respect to forecasting
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Bibliographic InfoArticle provided by Pakistan Institute of Development Economics in its journal The Pakistan Development Review.
Volume (Year): 42 (2003)
Issue (Month): 1 ()
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- Zivot, Eric & Andrews, Donald W K, 2002.
"Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis,"
Journal of Business & Economic Statistics,
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- Zivot, Eric & Andrews, Donald W K, 1992. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 251-70, July.
- Eric Zivot & Donald W.K. Andrews, 1990. "Further Evidence on the Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Cowles Foundation Discussion Papers 944, Cowles Foundation for Research in Economics, Yale University.
- Hans Franses, Philip & Romijn, Gerbert, 1993. "Periodic integration in quarterly UK macroeconomic variables," International Journal of Forecasting, Elsevier, vol. 9(4), pages 467-476, December.
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