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  4. Quantifying the Bullwhip Effect Using Two-Echelon Data: A Cross-Industry Empirical Investigation
 
research article

Quantifying the Bullwhip Effect Using Two-Echelon Data: A Cross-Industry Empirical Investigation

Isaksson, Olov H. D.
•
Seifert, Ralf W.  
2016
International Journal of Production Economics

The bullwhip effect denotes the phenomenon whereby demand variability is amplified from a downstream site (buyer) to an upstream site (supplier) in the supply chain. This paper contributes to the literature that empirically investigates the bullwhip effect by providing new evidence regarding its prevalence and magnitude. In contrast to previous work, we use a two-echelon approach, which allows us to observe variations at both the upstream and the downstream sites. By drawing on a financial accounting standard regarding information disclosure about major customers, we are able to link 5494 buyers and suppliers in the U.S. between 1976 and 2009. We merge this information with quarterly financial accounting data to form a sample of 14,933 buyer-supplier dyad observations. We correct for sample selection bias using propensity score matching and estimate the average bullwhip effect in our sample to be 1.90 (i.e. 90% demand variability amplification between echelons). A significant bullwhip effect is observed across industries (mining, manufacturing, wholesale and retail) and is supported by several robustness checks. We investigate and discuss how these results can be generalized beyond our sample. (C) 2015 Elsevier B.V. All rights reserved.

  • Details
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Type
research article
DOI
10.1016/j.ijpe.2015.08.027
Web of Science ID

WOS:000367773900002

Author(s)
Isaksson, Olov H. D.
Seifert, Ralf W.  
Date Issued

2016

Publisher

Elsevier

Published in
International Journal of Production Economics
Volume

171

Start page

311

End page

320

Subjects

Bullwhip effect

•

Demand amplifications

•

Two-echelon data

•

Propensity score matching

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TOM  
Available on Infoscience
January 28, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/122764
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