Forecasting U.S. Textile Comparative Advantage Using Autoregressive Integrated Moving Average Models and Time Series Outlier Analysis

Zahra Saki, Lori Rothenberg, Marguerite Moor, Ivan Kandilov and A. Blanton Godfrey

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Abstract: To establish an updated understanding of the U.S. textile and apparel (TAP) industrys competitive position within the global textile environment, trade data from UN-COMTRADE (1996-2016) was used to calculate the Normalized Revealed Comparative Advantage (NRCA) index for 169 TAP categories at the four-digit Harmonized Schedule (HS) code level. Univariate time series using Autoregressive Integrated Moving Average (ARIMA) models forecast short-term future performance of Revealed categories with export advantage. Accompanying outlier analysis examined permanent level shifts that might convey important information about policy changes, influential drivers and random events.

Date: 2019-08
New Economics Papers: this item is included in nep-for and nep-int
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Published in 2018 Joint Statistical Meeting, 1996-2006

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