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Publications

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  • All HBS Web  (71)
    • News  (2)
    • Research  (55)
    • Events  (1)
  • Faculty Publications  (24)

Show Results For

  • All HBS Web  (71)
    • News  (2)
    • Research  (55)
    • Events  (1)
  • Faculty Publications  (24)
Page 1 of 71 Results →
  • April 2020
  • Article

Designs for Estimating the Treatment Effect in Networks with Interference

By: Ravi Jagadeesan, Natesh S. Pillai and Alexander Volfovsky
In this paper, we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matching in observational studies, we introduce the notion of considering a treatment... View Details
Keywords: Experimental Design; Network Inference; Neyman Estimator; Symmetric Interference Model; Homophily
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Jagadeesan, Ravi, Natesh S. Pillai, and Alexander Volfovsky. "Designs for Estimating the Treatment Effect in Networks with Interference." Annals of Statistics 48, no. 2 (April 2020): 679–712.
  • 22 Oct 2020
  • Working Paper Summaries

Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models

Keywords: by Fiammetta Menchetti and Iavor Bojinov
  • 2024
  • Working Paper

Design of Panel Experiments with Spatial and Temporal Interference

By: Tu Ni, Iavor Bojinov and Jinglong Zhao
One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details
Keywords: Research
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Ni, Tu, Iavor Bojinov, and Jinglong Zhao. "Design of Panel Experiments with Spatial and Temporal Interference." Harvard Business School Working Paper, No. 24-058, March 2024.

    Design of Panel Experiments with Spatial and Temporal Interference

    One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details
    • 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.
    • December 2006
    • Article

    Europe vs America: Institutional Hysteresis in a Simple Normative Model

    By: Rafael Di Tella and Robert MacCulloch
    We show how the differences in US and European institutions can arise in a normative model. The paper focuses on the labor market and the government's decision to set unemployment benefits in response to an unemployment shock. The government balances insurance... View Details
    Keywords: Optimal Unemployment Benefits; Labor Market Institutions; Hysteresis; Europe; United States
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    Di Tella, Rafael, and Robert MacCulloch. "Europe vs America: Institutional Hysteresis in a Simple Normative Model." Journal of Public Economics 90, no. 12 (December 2006): 2161–86.
    • 01 Dec 2009
    • Working Paper Summaries

    Modeling a Paradigm Shift: From Producer Innovation to User and Open Collaborative Innovation

    Keywords: by Carliss Y. Baldwin & Eric von Hippel
    • Article

    Aztec Castles and the dP3 Quiver

    By: Megan Leoni, Gregg Musiker, Seth Neel and Paxton Turner
    Bipartite, periodic, planar graphs known as brane tilings can be associated to a large class of quivers. This paper will explore new algebraic properties of the well-studied del Pezzo 3 (dP3) quiver and geometric properties of its corresponding brane tiling. In... View Details
    Keywords: Brane Tiling; Del Pezzo 3 Lattice; Dimer Model; Mathematical Methods
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    Leoni, Megan, Gregg Musiker, Seth Neel, and Paxton Turner. "Aztec Castles and the dP3 Quiver." Journal of Physics A: Mathematical and Theoretical 47, no. 47 (November 28, 2014).
    • Article

    Competition for Scarce Resources

    By: Peter Eso, Volker Nocke and Lucy White
    We model a downstream industry where firms compete to buy capacity in an upstream market that allocates capacity efficiently. Although downstream firms have symmetric production technologies, we show that industry structure is symmetric only if capacity is sufficiently... View Details
    Keywords: Competitive Strategy; Natural Environment; Technology; Production; Business Cycles; Forecasting and Prediction; Cost; Demand and Consumers; Industry Structures; Performance Capacity
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    Eso, Peter, Volker Nocke, and Lucy White. "Competition for Scarce Resources." RAND Journal of Economics 41, no. 3 (Fall 2010): 524–548.
    • 2013
    • Working Paper

    Competing Ad Auctions

    By: Itai Ashlagi, Benjamin Edelman and Hoan Soo Lee
    We present a two-stage model of competing ad auctions. Search engines attract users via Cournot-style competition. Meanwhile, each advertiser must pay a participation cost to use each ad platform, and advertiser entry strategies are derived using symmetric Bayes-Nash... View Details
    Keywords: Online Advertising; Auctions; Market Participation; Market Platforms; Mathematical Methods; Competition
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    Ashlagi, Itai, Benjamin Edelman, and Hoan Soo Lee. "Competing Ad Auctions." Harvard Business School Working Paper, No. 10-055, January 2010. (Revised May 2010, February 2011, September 2013.)
    • 2019
    • Article

    Ridesharing with Driver Location Preferences

    By: Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma and David C. Parkes
    We study revenue-optimal pricing and driver compensation in ridesharing platforms when drivers have heterogeneous preferences over locations. If a platform ignores drivers' location preferences, it may make inefficient trip dispatches; moreover, drivers may strategize... View Details
    Keywords: Ridesharing; Pricing; Compensation and Benefits; Geographic Location; Market Design; Mathematical Methods
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    Rheingans-Yoo, Duncan, Scott Duke Kominers, Hongyao Ma, and David C. Parkes. "Ridesharing with Driver Location Preferences." Proceedings of the International Joint Conference on Artificial Intelligence (2019): 557–564.
    • 2022
    • Working Paper

    Stories, Statistics and Memory

    By: Thomas Graeber, Christopher Roth and Florian Zimmermann
    For most decisions, we rely on information encountered over the course of days, months or years. We consume this information in various forms, including abstract summaries of multiple data points – statistics – and contextualized anecdotes about individual instances... View Details
    Keywords: Decision Choices and Conditions; Information Types; Media; Cognition and Thinking
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    Graeber, Thomas, Christopher Roth, and Florian Zimmermann. "Stories, Statistics and Memory." Working Paper, December 2022.
    • 2021
    • Working Paper

    Competitive Two-Part Tariffs

    By: Jorge Tamayo and Guofu Tan
    We study competitive two-part tariffs in a model of asymmetric duopoly firms that offer (vertically and horizontally) differentiated products. We show that the sign of the markup for each product depends on the average expected demand among all customers as well as the... View Details
    Keywords: Product Differentiation; Two-part Tariffs; Marginal-cost Pricing; Cross-subsidization; Competition; Price
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    Tamayo, Jorge, and Guofu Tan. "Competitive Two-Part Tariffs." Harvard Business School Working Paper, No. 21-089, March 2021. (R&R American Economic Journal: Microeconomics.)
    • May 2025
    • Article

    Imagining the Future: Memory, Simulation and Beliefs

    By: Pedro Bordalo, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
    How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about Covid we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event,... View Details
    Keywords: Expectations; Memory; COVID-19 Pandemic; Risk and Uncertainty; Cognition and Thinking
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    Bordalo, Pedro, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli, and Andrei Shleifer. "Imagining the Future: Memory, Simulation and Beliefs." Review of Economic Studies 92, no. 3 (May 2025): 1532–1563.
    • 2023
    • Article

    Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

    By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
    The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
    Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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    Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
    • 17 Aug 2012
    • Working Paper Summaries

    Dividends as Reference Points: A Behavioral Signaling Approach

    Keywords: by Malcolm Baker & Jeffrey Wurgler
    • January 2024
    • Article

    Investing with the Government: A Field Experiment in China

    By: Emanuele Colonnelli, Bo Li and Ernest Liu
    We study the demand for government participation in China’s venture capital and private equity market. We conduct a large-scale, non-deceptive field experiment in collaboration with the leading industry service provider, through which we survey both capital investors... View Details
    Keywords: Venture Capital; Private Equity; Business and Government Relations; Entrepreneurship; China
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    Colonnelli, Emanuele, Bo Li, and Ernest Liu. "Investing with the Government: A Field Experiment in China." Journal of Political Economy 132, no. 1 (January 2024): 248–294.
    • Summer 2025
    • 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
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    Chica, Cristian, Julian Jimenez-Cardenas, and Jorge Tamayo. "Dynamic Competition for Customer Memberships." Journal of Economics & Management Strategy 34, no. 2 (Summer 2025): 525–556.
    • 08 May 2025
    • HBS Seminar

    Ramesh Johari, Stanford

    • Research Summary

    Overview

    Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
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