2026-09-19T10:10:53Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/778192022-01-13T07:54:52Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Vivek. F. Farias.
Chen, Yiwei, Ph. D. Massachusetts Institute of Technology
Sloan School of Management.
Sloan School of Management
2013-03-13T15:50:56Z
2013-03-13T15:50:56Z
2012
2012
http://hdl.handle.net/1721.1/77819
828427529
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 129-133).
This thesis explores the potential improvements in Revenue Management from two distinct perspectives. The first piece of work is to explore the potential operational improvements, in which we aim to develop competitive and robust dynamic pricing rules in a market whose evolution can be highly volatile and hardly predictable. We do specifically by considering the 'classical' single product dynamic pricing problem allowing the 'scale' of demand intensity to be modulated by an exogenous 'market size' stochastic process. This is a natural model of dynamically changing market conditions. We show that for a broad family of Gaussian market size processes, simple dynamic pricing rules that are essentially agnostic to the specification of this market size process perform provably well. The pricing policies we develop are shown to compensate for forecast imperfections (or a lack of forecast information altogether) by frequent re-optimization and re-estimation of the 'instantaneous' market size. The second piece of work is to understand the potential first order changes. We choose US airline industry to investigate and measure its resource allocative efficiency. The past decade has been a difficult one for the US airline industry. On the one hand, airline profits have been highly variable with net losses over the last ten years standing in the tens of billions of dollars. On the other hand, consumers continue to complain of predatory pricing and other such tactics (See Wirtz et al. [2003]). Our goal here will simply be to get an estimate of what is possible moving forward. We approach this task from an econometric perspective: we produce a status-quo dollar estimate of total welfare in the US airline industry. We then compute a number of benchmarks that we posit are conservative estimates of what optimal welfare in the industry might look like under mechanisms resembling existing dynamic pricing practice. Our benchmark estimates will leverage a unique, proprietary data set on ticket purchases via the 'micro' BLP approach Berry et al. [2004]. We will show that the welfare gap is surprisingly large, raising the possibility that a combination of innovative selling mechanisms and legislation can make a dramatic difference to airline profitability and consumer satisfaction alike.
by Yiwei Chen.
Ph.D.
133 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
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http://dspace.mit.edu/handle/1721.1/7582
Sloan School of Management.
What's on the table : revenue management and the welfare gap In the US airline industry
What is on the table
Revenue management and the welfare gap In the US airline industry
Thesis
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<Abstract>This thesis explores the potential improvements in Revenue Management from two distinct perspectives. The first piece of work is to explore the potential operational improvements, in which we aim to develop competitive and robust dynamic pricing rules in a market whose evolution can be highly volatile and hardly predictable. We do specifically by considering the 'classical' single product dynamic pricing problem allowing the 'scale' of demand intensity to be modulated by an exogenous 'market size' stochastic process. This is a natural model of dynamically changing market conditions. We show that for a broad family of Gaussian market size processes, simple dynamic pricing rules that are essentially agnostic to the specification of this market size process perform provably well. The pricing policies we develop are shown to compensate for forecast imperfections (or a lack of forecast information altogether) by frequent re-optimization and re-estimation of the 'instantaneous' market size. The second piece of work is to understand the potential first order changes. We choose US airline industry to investigate and measure its resource allocative efficiency. The past decade has been a difficult one for the US airline industry. On the one hand, airline profits have been highly variable with net losses over the last ten years standing in the tens of billions of dollars. On the other hand, consumers continue to complain of predatory pricing and other such tactics (See Wirtz et al. [2003]). Our goal here will simply be to get an estimate of what is possible moving forward. We approach this task from an econometric perspective: we produce a status-quo dollar estimate of total welfare in the US airline industry. We then compute a number of benchmarks that we posit are conservative estimates of what optimal welfare in the industry might look like under mechanisms resembling existing dynamic pricing practice. Our benchmark estimates will leverage a unique, proprietary data set on ticket purchases via the 'micro' BLP approach Berry et al. [2004]. We will show that the welfare gap is surprisingly large, raising the possibility that a combination of innovative selling mechanisms and legislation can make a dramatic difference to airline profitability and consumer satisfaction alike.</Abstract>
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