Abstract
Traditionally, models of U.S. exports tend to emphasize relationships involving independent variables that measure demand in the importing countries, domestic (U.S.) demand or the level of business activity, direct foreign investment, U.S. grants and loans, etc. This paper compares several of these traditional forecasting methods with a number of time-series techniques. The results indicate that U.S. exports can be forecasted with the use of several alternative models.
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*Dr. Ronald L. Coccari is an Assistant Professor of Quantitative Business Analysis at Cleveland State University. He has served as a consultant for New York City and other agencies and has published a number of articles in the area of economic forecasting.
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Coccari, R. Alternative Models for forecasting U.S. Exports. J Int Bus Stud 9, 73–84 (1978). https://doi.org/10.1057/palgrave.jibs.8490652
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DOI: https://doi.org/10.1057/palgrave.jibs.8490652