Document Type

Discussion Paper

Publication Date

11-16-2021

CFDP Number

2312

CFDP Pages

57

Journal of Economic Literature (JEL) Code(s)

C11, C53, D22, D42, L10, L93

Abstract

We study how organizational boundaries affect pricing decisions using comprehensive data from a large U.S. airline. We document that the firm’s advanced pricing algorithm, utilizing inputs from different organizational teams, is subject to multiple biases. To quantify the impacts of these biases, we estimate a structural demand model using sales and search data. We recover the demand curves the firm believes it faces using forecasting data. In counterfactuals, we show that correcting biases introduced by organizational teams individually have little impact on market outcomes, but coordinating organizational outcomes leads to higher prices/revenues and increased deadweight loss in the markets studied.

Included in

Economics Commons

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