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- Faculty Publications (136)
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- All HBS Web (514)
- Faculty Publications (136)
- March 2011
- Module Note
Quantitative Analysis of Competitive Position: Customer Demand and Willingness to Pay
By: David J. Collis
This note is designed to provide strategists with tools to perform two critical customer-related analyses: determining willingness to pay — the estimation of how much a given customer would be willing to pay for a particular product or service; and demand estimation —...
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Keywords:
Price;
Demand and Consumers;
Competitive Advantage;
Management Analysis, Tools, and Techniques;
Market Participation;
Segmentation
Collis, David J. "Quantitative Analysis of Competitive Position: Customer Demand and Willingness to Pay." Harvard Business School Module Note 711-495, March 2011.
- May 2014
- Article
Dynamics of Demand for Index Insurance: Evidence from a Long-Run Field Experiment
By: Shawn A. Cole, Daniel Stein and Jeremy Tobacman
This paper estimates how experimentally-manipulated experiences with a novel financial product, rainfall index insurance, affect subsequent insurance demand. Using a seven-year panel, we develop three main findings. First, recent experience matters for demand,...
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Cole, Shawn A., Daniel Stein, and Jeremy Tobacman. "Dynamics of Demand for Index Insurance: Evidence from a Long-Run Field Experiment." American Economic Review: Papers and Proceedings 104, no. 5 (May 2014): 284–290.
- 2011
- Working Paper
Price Competition under Multinomial Logit Demand Functions with Random Coefficients
In this paper, we postulate a general class of price competition models with Mixed Multinomial Logit demand functions under affine cost functions. We first characterize the equilibrium behavior of this class of models in the case where each product in the market is...
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Keywords:
Customers;
Income Characteristics;
Price;
Product Marketing;
Mathematical Methods;
Competition;
Segmentation
Allon, Gad, Awi Federgruen, and Margaret Pierson. "Price Competition under Multinomial Logit Demand Functions with Random Coefficients." Harvard Business School Working Paper, No. 12-030, October 2011.
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which...
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Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- Article
How Much Is a Reduction of Your Customers' Wait Worth? An Empirical Study of the Fast-Food Drive-Thru Industry Based on Structural Estimation Methods
In many service industries, companies compete with each other on the basis of the waiting time their customers experience, along with other strategic instruments such as the price they charge for their service. The objective of this paper is to conduct an empirical...
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Keywords:
Customer Satisfaction;
Price;
Service Delivery;
Mathematical Methods;
Competition;
Food and Beverage Industry;
Service Industry
Allon, Gad, Awi Federgruen, and Margaret P. Pierson. "How Much Is a Reduction of Your Customers' Wait Worth? An Empirical Study of the Fast-Food Drive-Thru Industry Based on Structural Estimation Methods ." Manufacturing & Service Operations Management 13, no. 4 (Fall 2011).
- 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...
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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.
- 2010
- Working Paper
Cheaper by the Dozen: Using Sibling Discounts at Catholic Schools to Estimate the Price Elasticity of Private School Attendance
By: Susan Dynarski, Jonathan Gruber and Danielle Li
The effect of vouchers on sorting between private and public schools depends upon the price elasticity of demand for private schooling. Estimating this elasticity is empirically challenging because prices and quantities are jointly determined in the market for private...
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Dynarski, Susan, Jonathan Gruber, and Danielle Li. "Cheaper by the Dozen: Using Sibling Discounts at Catholic Schools to Estimate the Price Elasticity of Private School Attendance." Harvard Business School Working Paper, No. 16-054, October 2015.
- December 2019
- Article
Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning
By: Guofang Huang, Hong Luo and Jing Xia
Pricing idiosyncratic products is often challenging because the seller, ex ante, lacks information about the demand for individual items. This paper develops a model of dynamic pricing for idiosyncratic products that features the optimal stopping structure and a seller...
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Keywords:
Dynamic Pricing;
Idiosyncratic Products;
Item-specific Demand;
Demand Uncertainty;
Active Seller Learning;
The Value Of Information;
Price;
Information;
Value;
Learning
Huang, Guofang, Hong Luo, and Jing Xia. "Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning." Management Science 65, no. 12 (December 2019): 5556–5583.
- 2021
- Working Paper
Consumer Choice and Corporate Bankruptcy
By: Samuel Antill and Megan Hunter
Using an incentivized randomized experiment, we estimate the causal effect of a Chapter 11 bankruptcy filing on consumer demand for the bankrupt firm's products. Knowledge of Hertz's Chapter 11 bankruptcy reduces consumers' willingness-to-pay for Hertz by 35%. We show...
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Keywords:
Consumer Choice;
Bankruptcy;
Financial Distress;
Structural Estimation;
Experimental Economics;
Hertz;
Insolvency and Bankruptcy;
Consumer Behavior
Antill, Samuel, and Megan Hunter. "Consumer Choice and Corporate Bankruptcy." Working Paper, August 2021. (Revise & Resubmit, Journal of Finance.)
- 09 Dec 2015
- Research Event
How Do You Predict Demand and Set Prices For Products Never Sold Before?
predict demand and set prices to maximize revenue of products that have no historical sales data? To that end, they set out to develop a pricing decision support tool that would use existing data to maximize revenue on new products. The...
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- 2017
- Working Paper
The Importance of Unemployment Insurance as an Automatic Stabilizer
By: Marco Di Maggio and Amir Kermani
We assess the extent to which unemployment insurance (UI) serves as an automatic stabilizer to mitigate the economy's sensitivity to shocks. Using a local labor market design based on heterogeneity in local benefit generosity (defined as the percentage of household...
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Keywords:
Unemployment Insurance;
Automatic Stabilizers;
Bartik Shocks;
Aggregate Demand;
System Shocks;
Employment;
Balance and Stability;
Insurance;
Volatility;
Insurance Industry
Di Maggio, Marco, and Amir Kermani. "The Importance of Unemployment Insurance as an Automatic Stabilizer." Harvard Business School Working Paper, No. 17-009, July 2016. (Revise and Resubmit to American Economic Journal: Macroeconomics.)
- 2020
- Working Paper
Institutional Corporate Bond Pricing
By: Ishita Sen, Lorenzo Bretscher, Lukas Schmid and Varun Sharma
We compile a rich dataset that links institutional investors' position level holdings with corporate bond characteristics and estimate demand elasticities with respect to critical sources of risk. Persistence in institutions' holdings provide us with an instrument to...
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Keywords:
Corporate Bonds;
Demand Systems;
Insurance Companies;
Mutual Funds;
Liquidity;
Bonds;
Insurance;
Investment Funds;
Financial Liquidity
Sen, Ishita, Lorenzo Bretscher, Lukas Schmid, and Varun Sharma. "Institutional Corporate Bond Pricing." Working Paper, December 2020. (Revised January 2022. Revise and Resubmit, Review of Financial Studies.)
- 2018
- Working Paper
Shipping Fees and Product Assortment in Online Retail
By: Chaoqun Chen and Donald Ngwe
Shipping fees are an important aspect of online retail for both consumers and sellers. A common fee structure is contingent free shipping, in which consumers are granted free shipping for basket sizes above a minimum value and are charged a flat fee for orders below...
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Keywords:
Shpping Fee;
E-commerce;
Multi-category Demand;
Search Costs;
Shipping Membership;
Spending;
Consumer Behavior;
Retail Industry
Chen, Chaoqun, and Donald Ngwe. "Shipping Fees and Product Assortment in Online Retail." Harvard Business School Working Paper, No. 19-034, September 2018.
- August 2022
- Supplement
Zalora: Data-Driven Pricing Recommendations
By: Ayelet Israeli
This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the...
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Keywords:
Pricing;
Pricing Algorithms;
Dynamic Pricing;
Ecommerce;
Pricing Strategy;
Pricing And Revenue Management;
Apparel;
Singapore;
Startup;
Demand Estimation;
Data Analysis;
Data Analytics;
Exercise;
Price;
Internet and the Web;
Apparel and Accessories Industry;
Retail Industry;
Fashion Industry;
Singapore
Israeli, Ayelet. "Zalora: Data-Driven Pricing Recommendations." Harvard Business School Supplement 523-032, August 2022.
- 2015
- Working Paper
The Wisdom of Crowds in Operations: Forecasting Using Prediction Markets
By: Achal Bassamboo, Ruomeng Cui and Antonio Moreno
Prediction is an important activity in various business processes, but it becomes difficult when historical information is not available, such as forecasting demand of a new product. One approach that can be applied in such situations is to crowdsource opinions from...
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Keywords:
Wisdom Of Crowds;
Demand Forecasting;
Price Forecasting;
Forecasting and Prediction;
Social and Collaborative Networks;
Size;
Performance
Bassamboo, Achal, Ruomeng Cui, and Antonio Moreno. "The Wisdom of Crowds in Operations: Forecasting Using Prediction Markets." Working Paper, October 2015.
- October, 2023
- Article
Cleaning Up the Great Lakes: Housing Market Impacts of Removing Legacy Pollutants
By: Alecia Cassidy, Robyn C. Meeks and Michale R. Moore
The Great Lakes and their tributaries make up the largest freshwater system on the planet, providing drinking water and recreational value to millions of people. Yet manufacturing plants left a legacy of toxic pollutants in the region, tarnishing it as part of the...
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Keywords:
Valuation Of Environmental Effects;
Housing Demand;
Water Pollution;
Water Quality;
Infrastructure;
Pollution;
Consumer Behavior
Cassidy, Alecia, Robyn C. Meeks, and Michale R. Moore. "Cleaning Up the Great Lakes: Housing Market Impacts of Removing Legacy Pollutants." Journal of Public Economics 226 (October, 2023).
- 2018
- Working Paper
Quantile Forecasts of Product Life Cycles Using Exponential Smoothing.
By: Xiaojia Guo, Kenneth C. Lichtendahl Jr. and Yael Grushka-Cockayne
We introduce an exponential smoothing model that a manager can use to forecast the demand of a new product or service. The model has five features that make it suitable for accurately forecasting product life cycles at scale. First, the trend in our model follows the...
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Keywords:
New Product Development;
Demand Forecasting;
Product Adoption;
Innovation Diffusion;
Product Development;
Demand and Consumers;
Forecasting and Prediction;
Adoption
Guo, Xiaojia, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne. "Quantile Forecasts of Product Life Cycles Using Exponential Smoothing." Harvard Business School Working Paper, No. 19-038, October 2018. (Darden Business School Working Paper, No. 2805244, July 2016.)
- 2013
- Dissertation
Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics
By: Clarence Lee, Vineet Kumar and Sunil Gupta
Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers...
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- June 2018
- Article
Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged
By: Clarence Lee, Elie Ofek and Thomas Steenburgh
We study how digital service firms can develop an active customer base, focusing on two questions. First, how does the way that customers use the service postadoption to meet their own needs (personal usage) and to interact with one another (social usage) vary across...
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Keywords:
Customer Engagement;
Adoption Routes;
Word-of-Mouth;
Digital Marketing;
Bayesian Estimation;
Customers;
Communication;
Consumer Behavior;
Marketing;
Internet and the Web;
Analytics and Data Science
Lee, Clarence, Elie Ofek, and Thomas Steenburgh. "Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged." Management Science 64, no. 6 (June 2018): 2473–2495. (Lead Article.)
- April 2020
- Article
Field Comparisons of Incentive-Compatible Preference Elicitation Techniques
By: Shawn A. Cole, A. Nilesh Fernando, Daniel Stein and Jeremy Tobacman
Knowledge of consumer demand is important for firms, policy makers, and economists. One common tool for incentive-compatible demand elicitation, the Becker-DeGroot-Marschak (BDM) mechanism, has been widely used in laboratory settings but rarely evaluated for...
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Keywords:
Incentive-compatible Elicitation;
Experimental Methods;
Weather Insurance;
Rainfall Insurance;
Agricultural Extension;
Demand and Consumers
Cole, Shawn A., A. Nilesh Fernando, Daniel Stein, and Jeremy Tobacman. "Field Comparisons of Incentive-Compatible Preference Elicitation Techniques." Journal of Economic Behavior & Organization 172 (April 2020): 33–56.