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- All HBS Web
(106)
- News (7)
- Research (87)
- Events (3)
- Multimedia (1)
- Faculty Publications (37)
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- December 1990 (Revised June 1993)
- Background Note
Price Discrimination
This note, which is introductory in nature, provides a classification scheme for some of the more common examples of price discrimination. For each case that is discussed, the note characterizes the appropriate market segments, the alternative product "versions," and... View Details
Dhebar, Anirudh S. "Price Discrimination." Harvard Business School Background Note 191-105, December 1990. (Revised June 1993.)
- Article
Repairing the Damage: The Effect of Price Knowledge and Gender on Auto-Repair Price Quotes
By: Meghan Busse, Ayelet Israeli and Florian Zettelmeyer
In this paper we investigate whether sellers treat consumers differently on the basis of how well informed consumers appear to be. We implement a large-scale field experiment in which callers request price quotes from automotive repair shops. We show that sellers alter... View Details
Keywords: Pricing; Price Discrimination; Automobiles; Field Experiment; Information; Fairness; Price; Knowledge Use and Leverage; Internet and the Web; Gender; Service Industry; Auto Industry
Busse, Meghan, Ayelet Israeli, and Florian Zettelmeyer. "Repairing the Damage: The Effect of Price Knowledge and Gender on Auto-Repair Price Quotes." Journal of Marketing Research (JMR) 54, no. 1 (February 2017): 75–95.
- November–December 2017
- Article
Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy
By: Pavel Kireyev, Vineet Kumar and Elie Ofek
Multichannel retailing has created several new strategic choices for retailers. With respect to pricing, an important decision is whether to offer a “self-matching policy,” which allows a multichannel retailer to offer the lowest of its online and store prices to... View Details
Keywords: Price Self-matching; Multichannel Retailing; Pricing Strategy; Online Shopping; Omnichannel; Price Discrimination; Price; Strategy; Competitive Strategy
Kireyev, Pavel, Vineet Kumar, and Elie Ofek. "Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy." Marketing Science 36, no. 6 (November–December 2017): 908–930.
- Winter 2021
- Article
Mobile Internet Usage and Usage-based Pricing
By: Jeffrey Prince and Shane Greenstein
Using data on mobile Internet usage of thousands of individuals, we provide some of the first analyses linking mobile usage to key demographics such as income. We find a reverse-U relationship between mobile Internet usage and income—notably different than the... View Details
Keywords: Mobile Internet Usage; Pricing Strategy; Internet and the Web; Mobile and Wireless Technology; Demographics; Income; Price; Strategy
Prince, Jeffrey, and Shane Greenstein. "Mobile Internet Usage and Usage-based Pricing." Journal of Economics & Management Strategy 30, no. 4 (Winter 2021): 760–783.
- October 2011
- Article
Fair Pricing
By: Julio J. Rotemberg
This paper explores the consequences of supposing that consumers see a firm as fair if they cannot reject the hypothesis that the firm is somewhat benevolent towards them. When consumers can reject this hypothesis, some become angry, which is costly to the firm. The... View Details
Rotemberg, Julio J. "Fair Pricing." Journal of the European Economic Association 9, no. 5 (October 2011).
- 28 Jul 2020
- Research & Ideas
Racism and Digital Design: How Online Platforms Can Thwart Discrimination
creating." Requests made from profiles with African American-sounding names were about 16 percent less likely to be accepted. According to the study, discrimination was pervasive across price points and... View Details
- Research Summary
Pricing and Promotions
Price promotions offered by product manufacturers to channel intermediaries are the subject of much current debate, as well as attempts by packaged goods manufacturers to curb, if not eliminate, their use. Samuel S. Chun's research, which includes the development of... View Details
- Forthcoming
- Article
Dynamic Competition for Customer Memberships
By: Cristian Chica, Julian Jimenez-Cardenas and Jorge Tamayo
A competitive two-period membership (subscription) market is analyzed. Two symmetric firms charge a “membership” fee that allows consumers to buy products or services at a given unit price for both periods. Firms can choose between long- or short-term memberships. When... View Details
Keywords: Competitive Price Discrimination; Membership; Dynamic Competition; Competition; Price; Consumer Behavior; Business Model
Chica, Cristian, Julian Jimenez-Cardenas, and Jorge Tamayo. "Dynamic Competition for Customer Memberships." Journal of Economics & Management Strategy (forthcoming). (Pre-published online August 12, 2024.)
- 1998
- Article
Alternative Models of Uncertain Commodity Prices for Use with Modern Asset Pricing Methods
By: Malcolm Baker, E. S. Mayfield and John Parsons
This paper provides an introduction to alternative models of uncertain commodity prices. A model of commodity price movements is the engine around which any valuation methodology for commodity production projects is built, whether discounted cash flow (DCF) models or... View Details
Keywords: Asset Pricing; Goods and Commodities; Price; Risk and Uncertainty; Valuation; Production; Projects; Cash Flow
Baker, Malcolm, E. S. Mayfield, and John Parsons. "Alternative Models of Uncertain Commodity Prices for Use with Modern Asset Pricing Methods." Energy Journal 19, no. 1 (1998): 115–148.
- Article
How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships
By: Ayelet Israeli, Fiona Scott-Morton, Jorge Silva-Risso and Florian Zettelmeyer
This paper investigates empirically the effect of market power on dynamic pricing in the presence of inventories. Our setting is the auto retail industry; we analyze how automotive dealerships adjust prices to inventory levels under varying degrees of market power. We... View Details
Keywords: Dynamic Pricing; Market Power; Pricing; Price Discrimination; Inventory Production; Marketing; Price; Competitive Strategy; Auto Industry; Retail Industry
Israeli, Ayelet, Fiona Scott-Morton, Jorge Silva-Risso, and Florian Zettelmeyer. "How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships." Management Science 68, no. 2 (February 2022): 895–916.
- 24 Feb 2014
- Research & Ideas
Uncovering Racial Discrimination in the ‘Sharing Economy’
racial discrimination. In Digital Discrimination: The Case of Airbnb.com, Benjamin G. Edelman and Michael Luca investigate the possibility of racial discrimination against people who advertise properties on Airbnb, a popular online... View Details
- 02 May 2017
- News
Are You A Victim Of Price Discrimination?
- December 2019
- Article
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even... View Details
Keywords: Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Marketing; Consumer Behavior; Strategy; Price; E-commerce; Retail Industry; Fashion Industry
Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Journal of Marketing Research (JMR) 56, no. 6 (December 2019): 944–959.
- 2019
- Working Paper
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even... View Details
Keywords: E-commerce; Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Consumer Behavior; Price; Search Technology
Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Harvard Business School Working Paper, No. 19-080, January 2019.
- July–August 2017
- Article
Why Outlet Stores Exist: Averting Cannibalization in Product Line Extensions
By: Donald Ngwe
Outlet stores are a large and growing component of many firms' retailing strategies, particularly in the fashion industry. Outlet stores offer attractive prices in locations far from central shopping districts. The main perspectives on why outlet stores exist can be... View Details
Keywords: Fashion; Industrial Organization; Outlet Stores; Price Discrimination; Retail; Channel Management; Luxury; Product Marketing; Price; Retail Industry; Fashion Industry
Ngwe, Donald. "Why Outlet Stores Exist: Averting Cannibalization in Product Line Extensions." Marketing Science 36, no. 4 (July–August 2017): 523–541.
- 30 May 2018
- Research & Ideas
Should Retailers Match Their Own Prices Online and in Stores?
value of the product is low and there aren’t too many undecided consumers, to offer the price match doesn’t give you much in terms of extra profits from the segment that comes to the store,” Ofek says. “By View Details
- September–October 2021
- Article
Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb
By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among... View Details
Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry
Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no. 5 (September–October 2021): 813–820.
- Research Summary
Overview
Professor Ngwe develops structural models of supply and demand to probe deeply into the dynamics of shoppers and retailers, especially unobservable aspects of purchase behavior.
He focuses on the adoption of outlet stores in the fashion industry, using transactional... View Details
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)