Replication data for: A Balls-and-Bins Model of Trade
Principal Investigator(s): View help for Principal Investigator(s) Roc Armenter; Miklós Koren
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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AER-MS-20101454-replication | 10/19/2021 02:57:PM | ||
LICENSE.txt | text/plain | 14.6 KB | 10/11/2019 06:39:PM |
Project Citation:
Armenter, Roc, and Koren, Miklós. Replication data for: A Balls-and-Bins Model of Trade. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112835V1
Project Description
Summary:
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Many of the facts about the extensive margin of trade—which firms export, and how many products are sent to how many destinations—are consistent with a surprisingly large class of trade models because of the sparse nature of trade data. We propose a statistical model to account for sparsity, formalizing the assignment of trade shipments to country, product, and firm categories as balls falling into bins. The balls-and-bins model quantitatively reproduces the pattern of zero product- and firm-level trade flows across export destinations, and the frequency of multiproduct, multidestination exporters. In contrast, balls-and-bins overpredicts the fraction of exporting firms.
Scope of Project
Subject Terms:
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extensive margin;
sparse data;
transactions;
international trade
JEL Classification:
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F11 Neoclassical Models of Trade
F14 Empirical Studies of Trade
F11 Neoclassical Models of Trade
F14 Empirical Studies of Trade
Geographic Coverage:
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United States
Time Period(s):
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1/1/2005 – 12/31/2005
Data Type(s):
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administrative records data;
event/transaction data;
census/enumeration data;
program source code;
aggregate data
Methodology
Data Source:
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U.S. International Trade in Goods and Services (FT900), U.S. Bureau of the Census
Unit(s) of Observation:
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foreign trade shipments,
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