Abstract
This 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.
Publisher
Pakistan Institute of Development Economics (PIDE)
Subject
Development,Geography, Planning and Development
Cited by
4 articles.
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