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Home and regional biases and border effects in Armington type models
Authors:John Whalley  Xian Xin
Institution:1. Department of Economics, The University of Western Ontario, London, Ontario, Canada N6A 5C2;2. National Bureau of Economic Research, (NBER), Cambridge, MA, U.S.A;3. The Centre for International Governance Innovation (CIGI, Waterloo), Canada;4. College of Economics and Management, China Agricultural University, Beijing, PR China
Abstract:We discuss biases in preferences and their trade effects in terms of impacts on non-neutral trade flows motivated by recent literature on both home bias and the border effect. These terms take on multiple definitions in the literature and are often used interchangeably even though they differ. The border effect refers to a higher proclivity to trade behind rather than across national borders and is usually defined by the coefficients of regional dummies from an estimated gravity model. It can be present both in data and in counterfactual model solutions. Sometimes the reduced form of the gravity model used is asserted to reflect an Armington type model. For the border effect to occur as a model outcome, a structural model with at least 2 home regions and 1 country abroad is needed. In contrast to current literature, we offer a characterization of various forms of preference bias in trade models and measures of their associated trade effects based on a concept we term trade neutrality. These effects go beyond conventional border effects, and can be both across and within borders. Home bias is typically specified as an Armington preference for domestic over comparable foreign products in a trade model where goods are heterogeneous across countries. It is reflected in both model structure and parameterization, but defined in several different ways in the literature. We assess the contribution of each form of bias to the set of possible trade effects using a calibrated model with 3 Canadian regions, the U.S., and the rest of the world using 2001 data. We also evaluate how much of the conventional border effect is accounted for when model biases are modified in various ways.
Keywords:F10
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