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- 2022
- Working Paper
Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register
By: Laura Alfaro, Ester Faia and Camelia Minoiu
We examine the consequences of monetary policy on racial disparities, focusing on the role of bank lending to firms through collateral and selection channels. Leveraging comprehensive loan-level data from the U.S. credit register (Y-14Q) of the Federal Reserve, we show...
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- May 2022
- Article
Policy Stringency and Mental Health During the COVID-19 Pandemic: A Longitudinal Analysis of Data from 15 Countries
By: Lara B. Aknin, Bernardo Andretti, Rafael Goldszmidt, John F. Helliwell, Anna Petherick, Jan-Emmanuel De Neve, Elizabeth W. Dunn, Daisy Fancourt, Elkhonon Goldberg, Sarah P. Jones, Ozge Karadag, Elie Karam, Richard Layard, Shekhar Saxena, Emily Thornton, Ashley Whillans and Jamil Zaki
To date, public health policies implemented during the COVID-19 pandemic have been evaluated on the basis of their ability to reduce transmission and minimise economic harm. We aimed to assess the association between COVID-19 policy restrictions and mental health...
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- March 2022
- Module Note
Exploratory Data Analysis
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v....
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- 2022
- Working Paper
E-commerce During COVID: Stylized Facts from 47 Economies
By: Joel Alcedo, Alberto Cavallo, Bricklin Dwyer, Prachi Mishra and Antonio Spilimbergo
We study e-commerce across 47 economies and 26 industries during the COVID-19 pandemic using aggregated and anonymized transaction-level data from Mastercard, scaled to represent total consumer spending. The share of online transactions in total consumption increased...
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Keywords:
COVID-19 Pandemic;
E-commerce;
Health Pandemics;
Spending;
Online Technology;
Global Range;
Analysis
- February 2022
- Article
Taxation and Innovation in the 20th Century
By: Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva
This paper studies the effect of corporate and personal taxes on innovation in the United States over the twentieth century. We build a panel of the universe of inventors who patent since 1920, and a historical state-level corporate tax database with corporate tax...
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- December 2021
- Article
Employee Responses to Compensation Changes: Evidence from a Sales Firm
By: Jason Sandvik, Richard Saouma, Nathan Seegert and Christopher Stanton
Using data from an inbound sales call center, we study employee responses to compensation changes that ultimately reduced take-home pay by 7% for the average affected worker. These changes caused a significant increase in the turnover rate of the firm's most productive...
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- 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...
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Keywords:
Mobile Internet Usage;
Pricing Strategy;
Internet;
Mobile Technology;
Demographics;
Income;
Price;
Strategy
- December 2021
- Article
The Evolutionary Nature of Breakthrough Innovation: An Empirical Investigation of Firm Search Strategies
By: Dominika Kinga Randle and Gary P. Pisano
Breakthrough innovation has been an important topic of study for generations of scholars. Previous research in this domain has focused on exploring the way breakthroughs emerge from cumulative combination and recombination of prior technologies and knowledge components...
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- November 5, 2021
- Article
Leaders: Stop Confusing Correlation with Causation
By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide...
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- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case.
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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;
AI and Machine Learning;
Retail Industry;
Italy
- 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...
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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
- October 2021 (Revised March 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
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...
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- September 2021
- Supplement
Telepass: From Tolling to Mobility Platform
By: Chiara Farronato, Stefano Denicolai and Sarah Mehta
This supplementary dataset can be paired with the case entitled “Telepass: From Tolling to Mobility Platform” (case no. 622-011), to allow students the opportunity to analyze data before class.
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Keywords:
Analysis;
Change;
Change Management;
Transformation;
Transition;
Innovation and Invention;
Strategy;
Information Technology;
Mobile and Wireless Technology;
Transportation;
Transportation Networks;
Value;
Value Creation;
Technology Industry;
Transportation Industry;
Insurance Industry;
Europe;
Italy;
Milan
- September 2021 (Revised December 2021)
- Case
Telepass: From Tolling to Mobility Platform
By: Chiara Farronato, Stefano Denicolai and Sarah Mehta
Telepass, until very recently the sole processor of electronic toll payments on Italy’s highways, has ambitions beyond tolling. Since the mid-2010s, the company has been expanding into adjacent services. In 2017, Telepass launched TelepassPay—a mobile payment...
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Keywords:
Mobile Payment;
App;
Mobility Services;
Analysis;
Change;
Change Management;
Transformation;
Transition;
Innovation and Invention;
Strategy;
Information Technology;
Mobile and Wireless Technology;
Transportation;
Transportation Networks;
Value;
Value Creation;
Consumer Behavior;
Technology Industry;
Transportation Industry;
Insurance Industry;
Europe;
Italy;
Milan
- September 2021 (Revised December 2021)
- Case
Telepass: From Tolling to Mobility Platform (Abridged)
By: Chiara Farronato, Stefano Denicolai and Sarah Mehta
Telepass, until very recently the sole processor of electronic toll payments on Italy’s highways, has ambitions beyond tolling. Since the mid-2010s, the company has been expanding into adjacent services. In 2017, Telepass launched TelepassPay—a mobile payment...
View Details
Keywords:
Mobile Payment;
App;
Mobility Services;
Analysis;
Change;
Change Management;
Transformation;
Transition;
Innovation and Invention;
Strategy;
Information Technology;
Mobile and Wireless Technology;
Transportation;
Transportation Networks;
Value;
Value Creation;
Technology Industry;
Transportation Industry;
Insurance Industry;
Europe;
Italy;
Milan
- August 2021
- Case
Data Science at the Warriors
By: Iavor I. Bojinov and Michael Parzen
An introductory case for a data science course, which provides an overview of the data science pipeline.
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- August 2021
- Case
Precision Paint Co.
Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case.
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- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British...
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- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British...
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