A Balls-and-Bins Model of Trade: Reply

被引：0

作者：

Armenter, Roc ^{[1
]}

Koren, Miklos ^{[2
,3
,4
,5
]}

机构：

[1] Fed Reserve Bank Philadelphia, 10 Independence Mall, Philadelphia, PA 19106 USA

[2] Cent European Univ, Nador Utca 9, H-1051 Budapest, Hungary

[3] MTA, London, England

[4] KRTK, Houston, TX 77005 USA

[5] CEPR, London, England

来源：

AMERICAN ECONOMIC REVIEW | 2016年 / 106卷 / 03期

基金：

欧洲研究理事会;

关键词：

D O I：

10.1257/aer.20151233

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Blum, Claro, and Horstmann (2016) make two statements about the balls-and-bins model of Armenter and Koren (2014). First, that using firm-level shipment data changes some of our results. Second, that the balls-and-bins model is not an appropriate statistical method. We respond to the first statement and argue that the second statement is unfounded and unrelated to the first. Indeed, the work of Blum, Claro, and Horstmann (2016) is a perfect example of how to use balls-and-bins in a rich dataset to spot interesting data patterns.

引用

页码：852 / 854

页数：3

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