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    • All HBS Web  (1,395)
      • Faculty Publications  (184)

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      • February 2023
      • Article

      OTC Intermediaries

      By: Andrea L. Eisfeldt, Bernard Herskovic, Sriram Rajan and Emil Siriwardane
      We study the effect of dealer exit on prices and quantities in a model of an over-the-counter (OTC) market featuring a core-periphery network with bilateral trading costs. The model is calibrated using regulatory data on the entire U.S. credit default swap (CDS) market...  View Details
      Keywords: OTC Markets; Intermediaries; Dealers; Credit Default Swaps; Risk Sharing; Financial Markets; Networks; Price; Risk and Uncertainty
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      Eisfeldt, Andrea L., Bernard Herskovic, Sriram Rajan, and Emil Siriwardane. "OTC Intermediaries." Review of Financial Studies 36, no. 2 (February 2023): 615–677.
      • 2022
      • Article

      The Pricing and Ownership of U.S. Green Bonds

      By: Malcolm Baker, Daniel Bergstresser, George Serafeim and Jeffrey Wurgler
      We study green bonds, which are bonds whose proceeds are used for environmentally sensitive purposes. After an overview of the U.S. corporate and municipal green bonds markets, we study pricing and ownership patterns using a simple framework that incorporates assets...  View Details
      Keywords: Green Bond; Pricing; Climate Finance; ESG; SRI; Sustainable; Municipal; Bonds; Environmental Sustainability; Financial Markets; Price; Ownership; United States
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      Baker, Malcolm, Daniel Bergstresser, George Serafeim, and Jeffrey Wurgler. "The Pricing and Ownership of U.S. Green Bonds." Annual Review of Financial Economics 14 (2022): 415–437.
      • November–December 2022
      • Article

      The Value of Descriptive Analytics: Evidence from Online Retailers

      By: Ron Berman and Ayelet Israeli
      Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an...  View Details
      Keywords: Descriptive Analytics; Big Data; Synthetic Control; E-commerce; Online Retail; Difference-in-differences; Martech; Internet and the Web; Analytics and Data Science; Performance; Marketing; Retail Industry
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      Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Marketing Science 41, no. 6 (November–December 2022): 1074–1096.
      • July 7, 2022
      • Other Article

      Are Online Prices Higher Because of Pricing Algorithms?

      By: Zach Y. Brown and Alexander J. MacKay
      This article reviews recent work examining pricing strategies of major online retailers and the potential effects of pricing algorithms. We describe how pricing algorithms can lead to higher prices in a number of ways, even if some characteristics of these algorithms...  View Details
      Keywords: Pricing Algorithms; Online Marketplace; Digital Strategy; Internet and the Web; Retail Industry
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      Brown, Zach Y., and Alexander J. MacKay. "Are Online Prices Higher Because of Pricing Algorithms?" Brookings Series: The Economics and Regulation of Artificial Intelligence and Emerging Technologies (July 7, 2022).
      • 2022
      • Working Paper

      Pricing Power in Advertising Markets: Theory and Evidence

      By: Matthew Gentzkow, Jesse M. Shapiro, Frank Yang and Ali Yurukoglu
      Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize and extend this theoretical result and test it using data from television and social media...  View Details
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      Gentzkow, Matthew, Jesse M. Shapiro, Frank Yang, and Ali Yurukoglu. "Pricing Power in Advertising Markets: Theory and Evidence." NBER Working Paper Series, No. 30278, July 2022.
      • 2022
      • Working Paper

      Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

      By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
      We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s...  View Details
      Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing
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      Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
      • 2022
      • Working Paper

      Retail Investors’ Contrarian Behavior Around News, Attention, and the Momentum Effect

      By: Cheng (Patrick) Luo, Enrichetta Ravina, Marco Sammon and Luis M. Viceira
      Using a large panel of U.S. brokerage accounts trades and positions, we show that a large fraction of retail investors trade as contrarians after large earnings surprises, especially for loser stocks, and that such contrarian trading contributes to post earnings...  View Details
      Keywords: Retail Investors; Post Earnings Announcement Drift; Price Momentum; Behavioral Finance; Investment; Demographics
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      Luo, Cheng (Patrick), Enrichetta Ravina, Marco Sammon, and Luis M. Viceira. "Retail Investors’ Contrarian Behavior Around News, Attention, and the Momentum Effect." Working Paper, June 2022.
      • June 2022
      • Article

      The Welfare Effects of Peer Entry in the Accommodation Market: The Case of Airbnb and the Accommodation Industry

      By: Chiara Farronato and Andrey Fradkin
      We study the effects of enabling peer supply through Airbnb in the accommodation industry. We present a model of competition between flexible and dedicated sellers—peer hosts and hotels—who provide differentiated products. We estimate this model using data from major...  View Details
      Keywords: Peer To Peer; Airbnb; Digital Platforms; Market Entry and Exit; Competition; Accommodations Industry
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      Farronato, Chiara, and Andrey Fradkin. "The Welfare Effects of Peer Entry in the Accommodation Market: The Case of Airbnb and the Accommodation Industry." American Economic Review 112, no. 6 (June 2022): 1782–1817.
      • 2022
      • Working Paper

      Can Evidence-Based Information Shift Preferences Towards Trade Policy?

      By: Laura Alfaro, Maggie X. Chen and Davin Chor
      We investigate the role of evidence-based information in shaping individuals' preferences for trade policies, through a series of survey experiments that contain randomized information treatments. Each treatment provides a concise statement of economics research...  View Details
      Keywords: Evidence; Preference; Trade Policy; Information; Trade; Policy; Attitudes
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      Alfaro, Laura, Maggie X. Chen, and Davin Chor. "Can Evidence-Based Information Shift Preferences Towards Trade Policy?" Harvard Business School Working Paper, No. 22-062, March 2022. (Revised September 2022.)
      • 2022
      • Working Paper

      Stock Market Stimulus

      By: Robin Greenwood, Toomas Laarits and Jeffrey Wurgler
      We study the stock market effects of the arrival of the three rounds of “stimulus checks” to U.S. taxpayers and the single round of direct payments to Hong Kong citizens. The first two rounds of U.S. checks appear to have increased retail buying and share prices of...  View Details
      Keywords: Stock Market; COVID-19 Pandemic; Fiscal Stimulus; Stimulus Payments; Impact; Stocks; System Shocks; Price; Spending; United States; Hong Kong; China
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      Greenwood, Robin, Toomas Laarits, and Jeffrey Wurgler. "Stock Market Stimulus." NBER Working Paper Series, No. 29827, March 2022. (Revised November 2022.)
      • March 2022
      • Article

      Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models

      By: Fiammetta Menchetti and Iavor Bojinov
      Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless...  View Details
      Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
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      Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
      • 2022
      • Working Paper

      How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?

      By: Leemore S. Dafny, Kate Ho and Edward Kong
      Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by...  View Details
      Keywords: Prescription Drugs; Coupons; Impact; Health Care and Treatment; Markets; Price; Spending; Pharmaceutical Industry; United States
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      Dafny, Leemore S., Kate Ho, and Edward Kong. "How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?" NBER Working Paper Series, No. 29735, February 2022.
      • 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
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      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.
      • 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
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      Prince, Jeffrey, and Shane Greenstein. "Mobile Internet Usage and Usage-based Pricing." Journal of Economics & Management Strategy 30, no. 4 (Winter 2021): 760–783.
      • December 2021
      • Article

      Trade Policy Uncertainty and Stock Returns

      By: Marcelo Bianconi, Federico Esposito and Marco Sammon
      A recent literature has documented large real effects of trade policy uncertainty (TPU) on trade, employment, and investment, but there is little evidence that investors are compensated for bearing such risk. To quantify the risk premium associated with TPU, we exploit...  View Details
      Keywords: Trade Policy; Uncertainty; Stock Returns; Risk Premium; Tariff Rates; Portfolio Analysis; Trade; Policy; Risk and Uncertainty; Stocks; Investment Return
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      Bianconi, Marcelo, Federico Esposito, and Marco Sammon. "Trade Policy Uncertainty and Stock Returns." Art. 102492. Journal of International Money and Finance 119 (December 2021).
      • November 2021
      • Article

      A Salient Sugar Tax Decreases Sugary Drink Buying

      By: Grant E. Donnelly, Paige Guge, Ryan Howell and Leslie John
      Many governments have introduced sugary drink excise taxes to reduce purchasing and consumption of such drinks; however, they do not typically stipulate how such taxes should be communicated at point-of-purchase. Historical, field, and experimental data entailing over...  View Details
      Keywords: Decision-making; Open Data; Open Materials; Preregistered; Health; Policy; Taxation; Consumer Behavior; Decision Making
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      Donnelly, Grant E., Paige Guge, Ryan Howell, and Leslie John. "A Salient Sugar Tax Decreases Sugary Drink Buying." Psychological Science 32, no. 11 (November 2021): 1830–1841.
      • November 2021
      • Article

      Ratings, Reviews, and the Marketing of New Products

      By: Itay P. Fainmesser, Dominique Olié Lauga and Elie Ofek
      We study how user-generated content (UGC) about new products impacts a firm's advertising and pricing decisions and the effect on profits and market dynamics. We construct a two-period model where consumers value quality and are heterogeneous in their taste for the new...  View Details
      Keywords: Online Reviews; Product Ratings; Social Networks; Word Of Mouth; Pricing; User-generated Content; Advertising; Product Marketing; Price; Consumer Behavior; Product Positioning; Social Media
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      Fainmesser, Itay P., Dominique Olié Lauga, and Elie Ofek. "Ratings, Reviews, and the Marketing of New Products." Management Science 67, no. 11 (November 2021): 7023–7045.
      • 2022
      • Working Paper

      The Value of Professional Ties in B2B Markets

      By: Navid Mojir and Sriya Anbil
      We study how a particular form of social ties (i.e., professional ties proxied by past employment) affect price and profitability in business-to-business (B2B) markets. While most of the work on social ties focuses on information diffusion in business-to-consumer...  View Details
      Keywords: Professional Ties; Social Ties; Business-to-business Marketing; B2B Marketing; Repo; Individual Connections; B2B Pricing; Pricing; Decision-making In Financial Markets; Marketing; Relationships; Price; Financial Markets; Decision Making
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      Mojir, Navid, and Sriya Anbil. "The Value of Professional Ties in B2B Markets." Harvard Business School Working Paper, No. 22-037, November 2021. (Revised August 2022.)
      • October 2021 (Revised March 2022)
      • Supplement

      PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

      By: Ayelet Israeli and Fabrizio Fantini
      PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...  View Details
      Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
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      Israeli, Ayelet, and Fabrizio Fantini. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Spreadsheet Supplement 522-710, October 2021. (Revised March 2022.)
      • October 2021 (Revised June 2022)
      • Case

      PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

      By: Ayelet Israeli
      PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once...  View Details
      Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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      Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
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