Poor Substitutes? Counterfactual Methods in IO and Trade Compared

Keith Head, Thierry Mayer
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Abstract

Abstract Constant elasticity of substitution (CES) demand for monopolistically competitive firm-varieties is a standard tool for models in international trade and macroeconomics. Inter-variety substitution in this model follows a simple share proportionality rule. In contrast, the standard toolkit in industrial organization (IO) estimates a demand 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, Levinsohn and Pakes (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.
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可怜的替代品?对外贸易与贸易中的反事实方法比较
垄断竞争企业品种的恒定替代弹性需求是国际贸易和宏观经济学模型的标准工具。该模型的品种间替代遵循简单的份额比例规则。相比之下,工业组织(IO)中的标准工具包估计了一个需求系统,其中交叉弹性依赖于可观察属性的相似性。从IO方法中获得的真实感是以需要更丰富的数据和更大的计算挑战为代价的。本文采用建立现代IO方法的Berry、Levinsohn和Pakes(1995)的数据生成过程,模拟反事实贸易政策实验。我们使用CES模型作为更复杂的潜在需求系统和市场结构的近似。尽管CES模型省略了数据生成过程的关键要素,但误差被抵消了,使其能够更接近基于blp的预测。就总体结果而言,事实证明,纳入非单一传递比修正过度简化的替代模式更重要。
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