Filter Results
:
(48)
Show Results For
-
All HBS Web
(256)
- Faculty Publications (48)
Show Results For
-
All HBS Web
(256)
- Faculty Publications (48)
Page 1 of
48
Results
→
- July 2023
- Article
Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations
By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still...
View Details
Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach...
View Details
Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
- May 2023
- Article
Competition in Pricing Algorithms
By: Zach Y. Brown and Alexander J. MacKay
We document new facts about pricing technology using high-frequency data, and we examine the implications for competition. Some online retailers employ technology that allows for more frequent price changes and automated responses to price changes by rivals. Motivated...
View Details
Keywords:
Pricing Algorithms;
Pricing Frequency;
Commitment;
Online Competition;
Price;
Information Technology;
Competition
Brown, Zach Y., and Alexander J. MacKay. "Competition in Pricing Algorithms." American Economic Journal: Microeconomics 15, no. 2 (May 2023): 109–156.
- May 2023
- Article
Self-Preferencing at Amazon: Evidence from Search Rankings
By: Chiara Farronato, Andrey Fradkin and Alexander MacKay
We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study...
View Details
Farronato, Chiara, Andrey Fradkin, and Alexander MacKay. "Self-Preferencing at Amazon: Evidence from Search Rankings." AEA Papers and Proceedings 113 (May 2023): 239–243.
- Article
Recovering Investor Expectations from Demand for Index Funds
By: Mark Egan, Alexander J. MacKay and Hanbin Yang
We use a revealed-preference approach to estimate investor expectations of stock market returns. Using data on demand for index funds that follow the S&P 500, we develop and estimate a model of investor choice to flexibly recover the time-varying distribution of...
View Details
Keywords:
Stock Market Expectations;
Demand Estimation;
Exchange-traded Funds (ETFs);
Demand and Consumers;
Investment
Egan, Mark, Alexander J. MacKay, and Hanbin Yang. "Recovering Investor Expectations from Demand for Index Funds." Review of Economic Studies 89, no. 5 (October 2022): 2559–2599.
- 2022
- Article
Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response
By: Alexander MacKay and Samuel N. Weinstein
Pricing algorithms are rapidly transforming markets, from ride-sharing apps, to air travel, to online retail. Regulators and scholars have watched this development with a wary eye. Their focus so far has been on the potential for pricing algorithms to facilitate...
View Details
Keywords:
Competition Policy;
Regulation;
Algorithmic Pricing;
Dynamic Pricing;
Economics;
Law And Economics;
Law And Regulation;
Consumer Protection;
Antitrust Law;
Industrial Organization;
Antitrust Issues And Policies;
Technological Change: Choices And Consequences;
Competition;
Policy;
Price;
Governing Rules, Regulations, and Reforms;
Microeconomics;
Duopoly and Oligopoly;
Law
MacKay, Alexander, and Samuel N. Weinstein. "Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response." Washington University Law Review 100, no. 1 (2022): 111–174. (Direct download.)
- August 2022
- Article
Contract Duration and the Costs of Market Transactions
By: Alexander MacKay
The optimal duration of a supply contract balances the costs of reselecting a supplier against the costs of being matched to an inefficient supplier when the contract lasts too long. I develop a structural model of contract duration that captures this tradeoff and...
View Details
Keywords:
Supply Contracts;
Intermediate Goods;
Switching Costs;
Vertical Relationships;
Transaction Costs;
Contract Duration;
Identification;
Supply Chain;
Cost;
Contracts;
Auctions;
Mathematical Methods
MacKay, Alexander. "Contract Duration and the Costs of Market Transactions." American Economic Journal: Microeconomics 14, no. 3 (August 2022): 164–212.
- 2023
- Working Paper
Dynamic Pricing, Intertemporal Spillovers, and Efficiency
By: Alexander J. MacKay, Dennis Svartbäck and Anders G. Ekholm
Pricing technology that allows firms to rapidly adjust prices has two potential benefits.
Time-varying prices can respond to high-frequency demand shocks to generate greater revenues,
and they can also be used to smooth out demand to reduce costs. Using data...
View Details
MacKay, Alexander J., Dennis Svartbäck, and Anders G. Ekholm. "Dynamic Pricing, Intertemporal Spillovers, and Efficiency." Harvard Business School Working Paper, No. 23-007, July 2022. (Revised December 2023.)
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new...
View Details
Keywords:
Vaccines;
COVID-19;
Health Care and Treatment;
Health Pandemics;
Performance Effectiveness;
Analytics and Data Science;
Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- 2024
- Working Paper
What Drives Variation in Investor Portfolios? Estimating the Roles of Beliefs and Risk Preferences
By: Mark Egan, Alexander MacKay and Hanbin Yang
We present an empirical model of portfolio choice that allows for the nonparametric estimation of investors' (subjective) expectations and risk preferences. Utilizing a comprehensive dataset of 401(k) plans from 2009 through 2019, we explore heterogeneity in asset...
View Details
Keywords:
Stock Market Expectations;
Demand Estimation;
Retirement Planning;
Defined Contribution Retirement Plan;
401 (K);
Finance;
Investment Portfolio;
Investment;
Retirement;
Behavioral Finance;
Financial Services Industry;
United States
Egan, Mark, Alexander MacKay, and Hanbin Yang. "What Drives Variation in Investor Portfolios? Estimating the Roles of Beliefs and Risk Preferences." Harvard Business School Working Paper, No. 22-044, December 2021. (Revised April 2024. Direct download. NBER Working Paper Series, No. 29604, December 2021)
- 2023
- Working Paper
Rising Markups and the Role of Consumer Preferences
By: Hendrik Döpper, Alexander MacKay, Nathan H. Miller and Joel Stiebale
We characterize the evolution of markups for consumer products in the United States
from 2006 to 2019. We use detailed data on prices and quantities for products in more
than 100 distinct product categories to estimate demand systems with flexible...
View Details
Keywords:
Market Power;
Markups;
Demand Estimation;
Consumer Products;
Retailers;
Product;
Price;
Demand and Consumers;
Consumer Behavior
Döpper, Hendrik, Alexander MacKay, Nathan H. Miller, and Joel Stiebale. "Rising Markups and the Role of Consumer Preferences." Harvard Business School Working Paper, No. 22-025, October 2021. (Revised March 2023. Direct download.)
- January 2021
- Article
Chain Stability in Trading Networks
By: John William Hatfield, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky and Alexander Westkamp
We show that in general trading networks with bilateral contracts, a suitably adapted chain stability concept (Ostrovsky, 2008) is equivalent to stability (Hatfield and Kominers, 2012; Hatfield et al., 2013) if all agents' preferences are fully substitutable and...
View Details
Keywords:
Matching;
Trading Networks;
Chain Stability;
Stability;
Competitive Equilibria;
Full Substitutability;
Laws Of Aggregate Supply And Demand;
Contracts;
Market Design;
Balance and Stability
Hatfield, John William, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, and Alexander Westkamp. "Chain Stability in Trading Networks." Theoretical Economics 16, no. 1 (January 2021): 197–234.
- June 2021
- Article
From Predictions to Prescriptions: A Data-driven Response to COVID-19
By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at...
View Details
Keywords:
COVID-19;
Health Pandemics;
AI and Machine Learning;
Forecasting and Prediction;
Analytics and Data Science
Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
- December 2020
- Teaching Plan
Scaling Well by Doing Good: Motivating Talent at b.good
By: Francesca Gino, Gary P. Pisano and Alexander Rohe
- 2023
- Working Paper
When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program
By: Alexander Bartik, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton and Adi Sunderam
What happens when public resources are allocated by private companies whose objectives may be
imperfectly aligned with policy goals? We study this question in the context of the Paycheck
Protection Program (PPP), which relied on private banks to disburse aid to small...
View Details
Keywords:
Paycheck Protection Program;
Targeting;
Impact;
Entrepreneurship;
Health Pandemics;
Small Business;
Financing and Loans;
Outcome or Result;
United States
Bartik, Alexander, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton, and Adi Sunderam. "When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program." Harvard Business School Working Paper, No. 21-021, August 2020. (Revised July 2023.)
- April 2020 (Revised January 2022)
- Case
Uber: Competing Globally
By: Alexander J. MacKay, Amram Migdal and John Masko
This case describes Uber’s global market entry strategy and responses by regulators and local competitors. It details Uber’s entry into New York City (New York), Bogotá (Colombia), Delhi (India), Shanghai (China), Accra (Ghana), and London (United Kingdom). In each...
View Details
Keywords:
Business Ventures;
Business Growth and Maturation;
Business Model;
Geography;
Geographic Location;
Geographic Scope;
Globalization;
Global Strategy;
Multinational Firms and Management;
Globalized Markets and Industries;
Governance;
Governance Controls;
Governing Rules, Regulations, and Reforms;
Innovation and Invention;
Disruptive Innovation;
Innovation Strategy;
Law;
Management;
Growth and Development Strategy;
Growth Management;
Markets;
Demand and Consumers;
Consumer Behavior;
Network Effects;
Emerging Markets;
Market Design;
Market Entry and Exit;
Market Participation;
Supply and Industry;
Industry Structures;
Planning;
Strategic Planning;
Relationships;
Business and Community Relations;
Business and Government Relations;
Business and Stakeholder Relations;
Labor and Management Relations;
Networks;
Strategy;
Adaptation;
Business Strategy;
Competition;
Competitive Advantage;
Competitive Strategy;
Expansion;
Information Technology;
Mobile and Wireless Technology;
Digital Platforms;
Transportation;
Transportation Networks;
Transportation Industry;
Technology Industry;
Africa;
Ghana;
Asia;
China;
Shanghai Shi;
Shanghai;
India;
New Delhi;
Europe;
United Kingdom;
England;
London;
Latin America;
North and Central America;
United States;
New York (city, NY);
New York (state, US);
South America;
Colombia
MacKay, Alexander J., Amram Migdal, and John Masko. "Uber: Competing Globally." Harvard Business School Case 720-404, April 2020. (Revised January 2022.)
- 2021
- Working Paper
Recovering Investor Expectations from Demand for Index Funds
By: Mark Egan, Alexander J. MacKay and Hanbin Yang
We use a revealed-preference approach to estimate investor expectations of stock market returns. Using data on demand for index funds that follow the S&P 500, we develop and estimate a model of investor choice to flexibly recover the time-varying distribution of...
View Details
Keywords:
Stock Market Expectations;
Demand Estimation;
Exchange-traded Funds (ETFs);
Demand and Consumers;
Investment;
United States
Egan, Mark, Alexander J. MacKay, and Hanbin Yang. "Recovering Investor Expectations from Demand for Index Funds." NBER Working Paper Series, No. 26608, January 2020. (Accepted at the Review of Economic Studies. Harvard Business School Working Paper, No. 20-122, May 2020. Direct download. Revised July 2021.)
- January 2020
- Article
The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation
By: Tatyana Deryugina, Alexander MacKay and Julian Reif
We study the dynamics of residential electricity demand by exploiting a natural experiment that produced large and long-lasting price changes in over 250 Illinois communities. Using a flexible difference-in-differences matching approach, we estimate that the price...
View Details
Keywords:
Electricity Demand;
Consumption Dynamics;
Energy;
Policy;
Demand and Consumers;
Price;
Mathematical Methods
Deryugina, Tatyana, Alexander MacKay, and Julian Reif. "The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation." American Economic Journal: Applied Economics 12, no. 1 (January 2020): 86–114.
- December 2019
- Case
Steemit: A New Social Media?
By: Ramon Casadesus-Masanell, Alexander White and Karen Elterman
This case discusses the alternative social media site Steemit, including the principles it was founded on in 2016 and the challenges it faced in 2019. Steemit was a blockchain-based platform that aimed to differentiate itself from other social media companies by...
View Details
Keywords:
Decision Making;
Decisions;
Voting;
Economic Systems;
Money;
Fairness;
Values and Beliefs;
Goals and Objectives;
Digital Platforms;
Product Design;
Design;
Problems and Challenges;
Network Effects;
Motivation and Incentives;
Social and Collaborative Networks;
Reputation;
Business Strategy;
Competition;
Internet and the Web;
Social Media;
Entertainment and Recreation Industry;
United States;
Virginia;
New York (city, NY)
Casadesus-Masanell, Ramon, Alexander White, and Karen Elterman. "Steemit: A New Social Media?" Harvard Business School Case 720-428, December 2019.
- May 2019 (Revised May 2020)
- Case
fidentiaX: The Tradable Insurance Marketplace on Blockchain
By: Alexander Braun, Lauren H. Cohen and Jiahua Xu
Three years ago, Alvin Ang and his partner founded fidentiaX in Singapore, with the ambition to create the world’s first marketplace for tradable insurance policies on blockchain. With a 26-page white paper, the start-up closed a successful fundraising round through an...
View Details
Keywords:
Blockchain;
Insurance;
Corporate Entrepreneurship;
Technology Adoption;
Business Strategy;
Insurance Industry;
Technology Industry;
Singapore
Braun, Alexander, Lauren H. Cohen, and Jiahua Xu. "fidentiaX: The Tradable Insurance Marketplace on Blockchain." Harvard Business School Case 219-116, May 2019. (Revised May 2020.)