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