The Michigan Model of World Production and Trade, developed in the 1970s by Alan V. Deardorff and Robert M. Stern, has become a valuable tool widely used in research on the economic effects of national and multilateral trade policies. Computational Analysis of Global Trading Arrangements presents the recent developments and enhancements of the Michigan Model together with the major results that it has provided in the last seven years. The book provides a detailed exposition of the model, and chapters describe its applications to a variety of important issues of trade policy in the United States, Japan, and other major industrialized and developing countries. It includes an analysis of negotiating options in the GATT (Uruguay) Round of Multilateral Trade Negotiations. The Michigan Model discussed here provides an empirical framework within which to analyze the twenty-nine producing sectors that make up each of the world's major industrialized and developing countries. Hence, it allows the authors to demonstrate the impact upon a given country—on top of the effects of its own trade policies—of the tariffs and nontariff barriers of foreign countries. The authors of Computational Analysis of Global Trading Arrangements have compiled a volume that underscores the importance of economic interdependence in the global trading system.