Data and Code for: Entrepot: Hubs, Scale, and Trade Costs

Principal Investigator(s):  View help for Principal Investigator(s) Sharat Ganapati, Georgetown University; Woan Foong Wong, Woan Foong Wong; Oren Ziv, Michigan State University

Version:  View help for Version V1

Name File Type Size Last Modified
  AuxiliaryData 08/31/2023 03:06:PM
  DoFiles 09/06/2023 07:20:PM
  IntermediateData 05/09/2023 02:20:PM
  MatlabCounterfactual 05/09/2023 02:20:PM
  MatlabEstimation 05/10/2023 12:35:AM
  RawData 05/09/2023 02:20:PM
  Results 09/01/2023 01:29:PM
Figure1.gephi application/zip 123.6 KB 09/05/2023 02:45:PM
ReadMe_Entrepot.pdf application/pdf 126.6 KB 10/02/2023 08:49:AM
gephi-0.10.1-macos-x64.dmg application/zlib 143.9 MB 09/06/2023 03:29:PM

Project Citation: 

Ganapati, Sharat, Wong, Woan Foong, and Ziv, Oren. Data and Code for: Entrepot: Hubs, Scale, and Trade Costs. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-08-22. https://doi.org/10.3886/E188242V1

Project Description

Summary:  View help for Summary We study the global trade network and quantify its trade and welfare impact.  We document that the trade network is a hub-and-spoke system where 80\% of trade is shipped indirectly, nearly all via entrepôts---major hubs that facilitate trade between many origins and destinations. We estimate indirect-shipping-consistent trade costs using a model where shipments can be sent indirectly through an endogenous transport network and develop a geography-based instrument to estimate scale economies in shipping. Network and scale effects propagate local trade cost changes globally. Counterfactual infrastructure improvements at entrepôts generate ten times the global welfare impact relative to non-entrepôts.



Scope of Project

Subject Terms:  View help for Subject Terms trade costs; scale; shipping; transport costs; transport networks; networks; containers; international trade; scale economies
JEL Classification:  View help for JEL Classification
      F12 Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
      F14 Empirical Studies of Trade
      F62 Economic Impacts of Globalization: Macroeconomic Impacts
      R40 Transportation Economics: General
Geographic Coverage:  View help for Geographic Coverage World
Time Period(s):  View help for Time Period(s) 2014 – 2014
Universe:  View help for Universe All container ships in 2014 and their voyages. All bills of lading for containship voyages ending in the US in 2014.
Data Type(s):  View help for Data Type(s) administrative records data; aggregate data; geographic information system (GIS) data; observational data
Collection Notes:  View help for Collection Notes N/A

Methodology

Response Rate:  View help for Response Rate N/A
Sampling:  View help for Sampling Complete Universe
Data Source:  View help for Data Source Astra Paging, Panjiva Data; derived from AIS and US Customs Data
Collection Mode(s):  View help for Collection Mode(s) other
Scales:  View help for Scales N/A
Weights:  View help for Weights N/A
Unit(s) of Observation:  View help for Unit(s) of Observation Ships and containers
Geographic Unit:  View help for Geographic Unit County and Port

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Published Versions

V1 [2024-08-22]

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