Abstract
This study describes and applies a random-utility-based multiregional input–output (RUBMRIO) model of production, trade, and travel using Texas data. This model simulates trade patterns of labor and commodities among zones based on different export demands, production technologies, travel modes, and network routing options. The paper also describes the estimation of technical-coefficient tables based on IMPLAN transactions data and input-origin and mode-choice parameters based on nested logit models of trade using Commodity Flow Survey data. A variety of applications explore changes in location choices, production, and trade flow patterns due to different export demands and travel costs.
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