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Working Papers

2013 | 2012 | 2011 | 2010 | 2009

 

2013-5: Bayesian Social Learning from Consumer Reviews (B. Ifrach, C. Maglaras, M. Scarsini)

2013-4: Optimal Price and Delay Di fferentiation in Queueing Systems (C. Maglaras, J. Yao, A. Zeevi)

2013-3: Network Pricing and The Price of Anarchy (R. Phillips, A. S. Simsek)

2013-2: Revenue Maximization via Sequential Bilateral Negotiations (N. Ayvaz-Cavdaroglu, S. Kachani and C. Maglaras)

2013-1: Optimizing Prices for Consumer Credit (R. Phillips)

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2012-4: Endogeneity and Price Sensitivity in Customized Pricing (R. Phillips, A.S. Simsek, G. van Ryzin)

2012-3: On the (surprising) sufficiency of linear models for dynamic pricing with demand learning (O. Besbes and A. Zeevi)   

2012-2: Assortment Optimization under Variants of the Nested Logit Model (J. Davis, H. Topaloglu and G. Gallego)

2012-1: Multi-Product Price Optimization and Competition under the Nested Logit Model with Product-Differentiated Price Sensitivities (G. Gallego and R. Wang)

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2011-4: A General Attraction Model and an Efficient Formulation for the Network Revenue Management Problem  (G. Gallego, R. Ratliff and S. Shebalov)


2011-3: Price-Driven Adverse Selection in Consumer Lending (R. Phillips and R. Raffard)


2011-2: Coordinating Vertical Partnerships for Horizontally Differentiated Products (W. Ke and G. van Ryzin)


2011-1: Revenue Management of Consumer Options for Sporting Events (S.R. Balseiro, G. Gallego, C. Gocmen, and R. Phillips)

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2010-3: A Maximum Entropy Joint Demand Estimation and Capacity Control Policy (C. Maglaras and S. Eren)


2010-2: Service Engineering: The Future of Service Feature Design and Pricing (G. Gallego and C. Stefanescu)


2010-1: Customized Pricing (R. Phillips)

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2009-2: Estimating Primary Demand for Substitutable Products from Sales Transaction Data (G. Vulcano, G. van Ryzin, and R. Ratliff)


2009-1: Creating Sales with Stock-Outs (L. Debo and G. van Ryzin)

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Featured Research

How Accurate Are Online Reviews?

Professor Omar Besbes with Marco Scarsini (Singapore University of Technology and Design) investigate how a consumer's knowledge of previous reviews distorts his own ratings.

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Featured Material

Hotel Pricing Game

This online simulation tool allows students to set prices for hotel rooms in the peak and off-peak seasons. Instructors can choose the game settings according to teaching goals. Students gain knowledge of key pricing concepts.

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