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September 26, 2018
Article

Ownership and Power Structure: Together at Last

By: Laura Alfaro, Nicholas Bloom, Paola Conconi, Harald Fadinger, Patrick Legros, Andrew Newman, Raffaella Sadun and John Van Reenen

Economists have largely ignored the deep interdependency between integration and delegation. This column describes a new theory of integration and delegation choices aimed at shedding light on how these distinct elements of organizational design interact. Contrary to... View Details

Keywords: Power; Organisational Design; Economics; Ownership; Organizational Design

2018
Working Paper

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 20th century. We use three new datasets: a panel of the universe of inventors who patent since 1920; a dataset of the employment, location, and patents of firms... View Details

Keywords: Taxation; Innovation and Invention; History; United States

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Article

The Critical Role of Second-order Normative Beliefs in Predicting Energy Conservation

By: Jon M. Jachimowicz, Oliver P. Hauser, Julia D. O'Brien, Erin Sherman and Adam D. Galinsky

Sustaining large-scale public goods requires individuals to make environmentally friendly decisions today to benefit future generations. Recent research suggests that second-order normative beliefs are more powerful predictors of behaviour than first-order personal... View Details

Keywords: Climate Change; Energy; Environmental Sustainability; Household; Behavior; Values and Beliefs; Forecasting and Prediction

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2021
Working Paper

From Immigrants to Americans: Race and Assimilation During the Great Migration

By: Vasiliki Fouka, Soumyajit Mazumder and Marco Tabellini

How does the arrival of a new minority group affect the social acceptance and outcomes of existing minorities? We study this question in the context of the First Great Migration. Between 1915 and 1930, 1.5 million African Americans moved from the U.S. South to Northern... View Details

Keywords: Assimilation; Great Migration; Group Identity; Immigration; Race; History; United States

August 2018
Case

Four Products: Predicting Diffusion (2018)

By: John Gourville

One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,... View Details

Keywords: Diffusion Processes; Product Adoption; Marketing; Forecasting and Prediction; Demand and Consumers; Adoption; Product Launch

August 2018 (Revised September 2018)
Case

Predicting Purchasing Behavior at PriceMart (A)

By: Srikant M. Datar and Caitlin N. Bowler

This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction

August 2018 (Revised September 2018)
Supplement

Predicting Purchasing Behavior at PriceMart (B)

By: Srikant M. Datar and Caitlin N. Bowler

Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction

August 2018 (Revised April 2019)
Supplement

Chateau Winery (B): Supervised Learning

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details

Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis

August 2018 (Revised September 2018)
Case

LendingClub (A): Data Analytic Thinking (Abridged)

By: Srikant M. Datar and Caitlin N. Bowler

LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details

Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model

August 2018 (Revised September 2018)
Supplement

LendingClub (B): Decision Trees & Random Forests

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details

Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

August 2018 (Revised September 2018)
Supplement

LendingClub (C): Gradient Boosting & Payoff Matrix

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details

Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

August 2018
Article

Extrapolation and Bubbles

By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer

We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals: an average of the asset’s past price changes and the asset’s degree of overvaluation. The two signals are in conflict, and investors... View Details

Keywords: Bubble; Extrapolation; Volume; Price Bubble; Mathematical Methods

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2018
Working Paper

Black Out-Migration and Southern Political Realignment

By: Leah Boustan and Marco Tabellini

Can emigration from less democratic and economically less developed areas induce political and economic change? We study this question in the context of the second Great Migration of African Americans (1940–1970), when more than 4 million blacks left the U.S. South and... View Details

Keywords: Great Migration; Immigration; Race; Government and Politics; Economics; United States

2019
Working Paper

Racial Heterogeneity and Local Government Finances: Evidence from the Great Migration

By: Marco Tabellini

Between 1915 and 1930, during the First Great Migration, more than 1.5 million African Americans migrated from the South to the North of the United States, altering the racial profile of several northern cities for the first time in American history. I exploit this... View Details

Keywords: Migration; Race; City; Financial Condition; Government and Politics; History; United States

June 2018
Article

The Power of Workplace Rewards: Using Self-Determination Theory to Understand Why Reward Satisfaction Matters for Workers Around the World

By: Anais Thibault Landry and A.V. Whillans

How can workplace rewards promote employee well-being and engagement? To answer these questions, we utilized self-determination theory to examine whether reward satisfaction predicted employee well-being, job satisfaction, intrinsic motivation, and affective... View Details

Keywords: Workplace; Rewards; Motivation; Employees; Satisfaction; Motivation and Incentives; Welfare

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June 2018 (Revised October 2018)
Teaching Note

Valuing Snap After the IPO Quiet Period (A), (B), and (C)

By: Marco Di Maggio and Benjamin C. Esty

Teaching Note for HBS Nos. 218-095, 218-096, and 218-116. View Details

June 2018 (Revised April 2021)
Supplement

Valuing Snap After the IPO Quiet Period

By: Benjamin C. Esty, Marco Di Maggio and Greg Saldutte

June 2018 (Revised April 2021)
Case

Valuing Snap After the IPO Quiet Period (A)

By: Marco Di Maggio, Benjamin C. Esty and Gregory Saldutte

Snap, the disappearing message app, went public at $17 per share on March 2, 2017, making its two 20-something founders the youngest self-made billionaires in the country. Over the next three weeks, 14 analysts made investment recommendations on Snap: two with buy... View Details

June 2018
Supplement

Valuing Snap After the IPO Quiet Period (B)

By: Marco Di Maggio and Benjamin C. Esty

Analyzes Snap’s value and analyst recommendations following the events described in the (A) case. View Details

June 2018
Supplement

Valuing Snap After the IPO Quiet Period (C)

By: Marco Di Maggio, Benjamin C. Esty and Gregory Saldutte

Analyzes Snap’s value and analyst recommendations following the events described in the (B) case. View Details

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