Data and code for: Credit Rationing and Pass-Through in Supply Chains: Theory and Evidence from Bangladesh

Principal Investigator(s):  View help for Principal Investigator(s) M. Shahe Emran, Columbia, IPD; Dilip Mookherjee, Boston University; Forhad Shilpi, World Bank; Helal Uddin, Dhaka Univerisity

Version:  View help for Version V1

Name File Type Size Last Modified
  empirics 05/23/2020 10:48:AM
Readme File_May22_2020.pdf application/pdf 112.9 KB 05/23/2020 07:00:AM

Project Citation: 

Emran, M. Shahe, Mookherjee, Dilip, Shilpi, Forhad, and Uddin, Helal. Data and code for: Credit Rationing and Pass-Through in Supply Chains: Theory and Evidence from Bangladesh. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-06-15. https://doi.org/10.3886/E118443V1

Project Description

Summary:  View help for Summary Traders are often blamed for high prices, prompting government regulation. We study the effects of a government ban of a layer of financing intermediaries in Bangladesh's edible oil supply chain during 2011-12. Contrary to the predictions of a standard model of an oligopolistic supply chain, the ban caused downstream wholesale and retail prices to rise, and pass-through of imported crude oil price changes to fall. These results can be explained by an extension of the standard model to incorporate trade credit frictions, where intermediaries expand credit access of downstream traders.

Scope of Project

Subject Terms:  View help for Subject Terms oligopoly; imperfect market; credit constraints; supply chain
JEL Classification:  View help for JEL Classification
      L13 Oligopoly and Other Imperfect Markets
      O12 Microeconomic Analyses of Economic Development
      Q13 Agricultural Markets and Marketing; Cooperatives; Agribusiness
Geographic Coverage:  View help for Geographic Coverage Bangladesh
Time Period(s):  View help for Time Period(s) 1/24/2008 – 10/4/2012
Collection Date(s):  View help for Collection Date(s) 2012 – 2013 (Secondary data gathered from different sources)
Universe:  View help for Universe Daily data on international and domestic wholesale and retail prices and related information
Data Type(s):  View help for Data Type(s) other


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Published Versions

V1 [2021-06-15]

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