Heteroskedastic supply and demand estimation: Analysis and testing

IF 3.8 1区 经济学 Q1 ECONOMICS
Matthew Grant , Anson Soderbery
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引用次数: 0

Abstract

The Feenstra (1994) method is widely used in the international trade literature to estimate supply and demand elasticities. The method is mechanically an IV strategy, and we demonstrate that this has important implications for its application and reliability. The assumptions needed for it to yield unbiased estimates are stronger than previously understood, and in practice, estimates are subject to bias due to both weak instruments and violations of the exclusion restriction. We illustrate how these arise in context and show that standard tests identify estimates that are likely to be biased. In an application to U.S. import data, estimates of import demand and export supply elasticities are substantially lower among goods that pass standard tests relative to those that fail. We find evidence that this difference in elasticities reflects reduction of bias as well as some selection in the set of goods that tend to pass both tests.

异方差供求估计:分析与测试
在国际贸易文献中,Feenstra(1994 年)方法被广泛用于估计供需弹性。该方法在机制上是一种 IV 策略,我们证明这对其应用和可靠性有重要影响。该方法产生无偏估计值所需的假设条件比以往理解的更强,在实践中,由于工具薄弱和违反排除限制,估计值会出现偏差。我们将结合实际情况说明这些问题是如何产生的,并表明标准测试可以识别出可能存在偏差的估计值。在对美国进口数据的应用中,通过标准检验的商品的进口需求和出口供给弹性估计值大大低于未通过检验的商品。我们发现有证据表明,弹性的这种差异反映了偏差的减少,以及对倾向于通过这两项测试的商品集的某种选择。
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来源期刊
CiteScore
5.80
自引率
6.10%
发文量
98
期刊介绍: The Journal of International Economics is intended to serve as the primary outlet for theoretical and empirical research in all areas of international economics. These include, but are not limited to the following: trade patterns, commercial policy; international institutions; exchange rates; open economy macroeconomics; international finance; international factor mobility. The Journal especially encourages the submission of articles which are empirical in nature, or deal with issues of open economy macroeconomics and international finance. Theoretical work submitted to the Journal should be original in its motivation or modelling structure. Empirical analysis should be based on a theoretical framework, and should be capable of replication.
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