Abstract Constant elasticity of substitution (CES) demand for monopolistically competitive firm varieties is a standard tool for models in international trade and macroeconomics. Intervariety substitution in this model follows a simple share proportionality rule. In contrast, the standard tool kit in industrial organization (IO) estimates a system in which cross-elasticities depend on similarity in observable attributes. The gain in realism from the IO approach comes at the expense of requiring richer data and greater computational challenges. This paper uses the data generating process of Berry et al. (1995), BLP, who established the modern IO method, to simulate counterfactual trade policy experiments. We use the CES model as an approximation of the more complex underlying demand system and market structure. Although the CES model omits key elements of the data generating process, the errors are offsetting, allowing it to fit BLP-based predictions closely. For aggregate outcomes, it turns out that incorporating non-unitary pass-through matters more than fixing over-simplified substitution patterns.

This paper develops a theoretical model of location choice under imperfect competition to formalize the notion that firms prefer to locate “where the markets are.” The profitability of a location depends on a term that weights demand in all locations by accessibility. Using a sample of Japanese firms' choices of regions within European countries, we compare the theoretically derived measure of market potential with the standard form used by geographers. Our results show that market potential matters for location choice but cannot account entirely for the tendency of firms in the same industry to agglomerate.

Following the 2016 Leave vote in the referendum on UK membership in the EU and the election of Donald Trump, trade agreements have entered a period of great instability. To predict the impact of possible disruptions to existing arrangements requires counterfactual analysis that takes into account the complex set of factors influencing the production and marketing strategies of multinational corporations. We estimate a model of multinational decision-making in the car industry. This model predicts the production reallocation and consumer surplus consequences of changes in tariffs and non-tariff barriers induced by US-led protectionism, Brexit, transpacific, and transatlantic integration agreements.

We evaluate two alternative models of international trade in differentiated products. An increasing returns model where varieties are linked to firms predicts home market effects: increases in a country's share of demand cause disproportionate increases in its share of output. In contrast, a constant returns model with national product differentiation predicts a less than proportionate increase. We examine a panel of U.S. and Canadian manufacturing industries to test the models. Although we find support for either model, depending on whether we estimate based on within or between variation, the preponderance of the evidence supports national product differentiation. (JEL F12, F15)

One of the best-established empirical results in international economics is that bilateral trade decreases with distance. Although well known, this result has not been systematically analyzed before. We examine 1,467 distance effects estimated in 103 papers. Information collected on each estimate allows us to test hypotheses about the causes of variation in the estimates. Our most interesting finding is that the estimated negative impact of distance on trade rose around the middle of the century and has remained persistently high since then. This result holds even after controlling for many important differences in samples and methods.

Quantifications of gains from trade in heterogeneous firm models assume that productivity is Pareto distributed. Replacing this assumption with log-normal heterogeneity retains some useful Pareto features, while providing a substantially better fit to sales distributions-especially in the left tail. The cost of log-normal is that gains from trade depend on the method of calibrating the fixed cost and productivity distribution parameters. When set to match the size distribution of firm sales in a given market, the log-normal assumption delivers gains from trade in a symmetric two-country model that can be twice as large as under the Pareto assumption.

We model the decision to travel across an international border as a trade-off between benefits derived from buying a range of products at lower prices and the costs of travel. We estimate the model using microdata on Canada–United States travel. Price differences motivate cross-border travel; a 10% home appreciation raises the propensity to cross by 8% to 26%. The larger elasticity arises when the home currency is strong, a result predicted by the model. Distance to the border strongly inhibits crossings, with an implied cost of 87 cents per mile. Geographic differences can partially explain why American travel is less exchange rate responsive.

Abstract Combining data on locations with career and educational histories of mathematicians, we study how distance and ties affect citation patterns. The ties considered include coauthorship, past colocation, and relationships mediated by advisers and the alma mater. With fixed effects capturing subject similarity and article quality, we find linkages are strongly associated with citation. Controlling for ties generally halves the negative impact of geographic barriers on citations. Ties matter more for less prominent and more recent papers and have retained their quantitative importance in recent years. The impact of distance, controlling for ties, has fallen and is statistically insignificant after 2004.

Estimating the Knowledge-Capital Model of the Multinational Enterprise: Comment by Bruce A. Blonigen, Ronald B. Davies and Keith Head. Published in volume 93, issue 3, pages 980-994 of American Economic Review, June 2003