Filter Results
:
(951)
Show Results For
-
All HBS Web
(2,872)
- Faculty Publications (951)
Show Results For
-
All HBS Web
(2,872)
- Faculty Publications (951)
- 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
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
- 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
... View Details
Keywords:
Data Science;
Data Analytics;
Decision Trees;
Investment;
Financing and Loans;
Analytics and Data Science;
Analysis;
Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
- 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
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
- 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
Barberis, Nicholas, Robin Greenwood, Lawrence Jin, and Andrei Shleifer. "Extrapolation and Bubbles." Journal of Financial Economics 129, no. 2 (August 2018): 203–227.
- 2018
- Working Paper
Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
We demonstrate that data from digital platforms such as Yelp have the potential to improve our understanding of gentrification, both by providing data in close to real time (i.e., nowcasting and forecasting) and by providing additional context about how the local...
View Details
Keywords:
Geographic Location;
Local Range;
Transition;
Analytics and Data Science;
Measurement and Metrics;
Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change." NBER Working Paper Series, No. 24952, August 2018.
- 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
- 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
Tabellini, Marco. "Racial Heterogeneity and Local Government Finances: Evidence from the Great Migration." Harvard Business School Working Paper, No. 19-006, July 2018. (Revised September 2019. Featured in Harvard Magazine.)
- 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
Landry, Anais Thibault, and A.V. Whillans. "The Power of Workplace Rewards: Using Self-Determination Theory to Understand Why Reward Satisfaction Matters for Workers Around the World." Compensation & Benefits Review 50, no. 3 (June 2018): 123–148.
- 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
Keywords:
Sell-side Analysts;
Underwriters;
Investment Banking;
Social Network;
Discounted Cash Flow;
Cost Of Capital;
Conflicts Of Interest;
Corporate Governance;
Advertising;
Quiet Period;
Business Startups;
Digital Marketing;
Initial Public Offering;
Information Infrastructure;
Valuation;
Venture Capital;
Forecasting and Prediction;
Social Media;
Advertising Industry;
Entertainment and Recreation Industry;
Web Services Industry;
United States;
California
- June 2018 (Revised April 2021)
- Supplement
Valuing Snap After the IPO Quiet Period
By: Benjamin C. Esty, Marco Di Maggio and Greg Saldutte
Keywords:
Sell-side Analysts;
Underwriters;
Investment Banking;
Social Network;
Discounted Cash Flow;
Cost Of Capital;
Conflicts Of Interest;
Corporate Governance;
Advertising;
Quiet Period;
Business Startups;
Digital Marketing;
Initial Public Offering;
Information Infrastructure;
Valuation;
Venture Capital;
Forecasting and Prediction;
Social Media;
United States;
California
- 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
Keywords:
Sell-side Analysts;
Underwriters;
Investment Banking;
Social Network;
Discounted Cash Flow;
Cost Of Capital;
Conflicts Of Interest;
Corporate Governance;
Advertising;
Quiet Period;
"DCF Valuation,";
Business Startups;
Digital Marketing;
Initial Public Offering;
Information Infrastructure;
Valuation;
Venture Capital;
Forecasting and Prediction;
Social Media;
Advertising Industry;
Entertainment and Recreation Industry;
Web Services Industry;
United States;
California
Di Maggio, Marco, Benjamin C. Esty, and Gregory Saldutte. "Valuing Snap After the IPO Quiet Period (A)." Harvard Business School Case 218-095, June 2018. (Revised April 2021.)
- 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
Keywords:
Sell-side Analysts;
Underwriters;
Investment Banking;
Social Network;
Discounted Cash Flow;
Cost Of Capital;
Conflicts Of Interest;
Corporate Governance;
Advertising;
Quiet Period;
Business Startups;
Digital Marketing;
Initial Public Offering;
Information Infrastructure;
Valuation;
Venture Capital;
Forecasting and Prediction;
Social Media;
Advertising Industry;
Entertainment and Recreation Industry;
Web Services Industry;
United States;
California
Di Maggio, Marco, and Benjamin C. Esty. "Valuing Snap After the IPO Quiet Period (B)." Harvard Business School Supplement 218-096, June 2018.
- 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
Keywords:
Sell-side Analysts;
Underwriters;
Investment Banking;
Social Network;
Discounted Cash Flow;
Cost Of Capital;
Conflicts Of Interest;
Corporate Governance;
Advertising;
Quiet Period;
Business Startups;
Digital Marketing;
Initial Public Offering;
Information Infrastructure;
Valuation;
Venture Capital;
Forecasting and Prediction;
Social Media;
Advertising Industry;
Entertainment and Recreation Industry;
Web Services Industry;
United States;
California
Di Maggio, Marco, Benjamin C. Esty, and Gregory Saldutte. "Valuing Snap After the IPO Quiet Period (C)." Harvard Business School Supplement 218-116, June 2018.
- 2018
- Working Paper
Channeled Attention and Stable Errors -- Previous Working Version
By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
A common critique of models of mistaken beliefs is that people should recognize their error after observations they thought were unlikely. This paper develops a framework for assessing when a given error is likely to be discovered, in the sense that the error-maker...
View Details
Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors -- Previous Working Version." Harvard Business School Working Paper, No. 18-108, June 2018.
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing...
View Details
Keywords:
Forecasting Models;
Simulation Methods;
Regional Economic Activity: Growth, Development, Environmental Issues, And Changes;
Geographic Location;
Local Range;
Transition;
Analytics and Data Science;
Measurement and Metrics;
Economic Growth;
Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- May 2018
- Article
Selection and Market Reallocation: Productivity Gains from Multinational Production
By: Laura Alfaro and Maggie X. Chen
Assessing the productivity gains from multinational production has been a vital topic of economic research and policy debate. Positive aggregate productivity gains are often attributed to within-firm productivity improvement; however, an alternative, less emphasized...
View Details
Keywords:
Productivity Gains;
Multinational Production;
Selection;
Market Reallocation;
And Within-firm Productivity;
Multinational Firms and Management;
Production;
Performance Productivity;
Competition;
Mathematical Methods
Alfaro, Laura, and Maggie X. Chen. "Selection and Market Reallocation: Productivity Gains from Multinational Production." American Economic Journal: Economic Policy 10, no. 2 (May 2018): 1–38. (Also NBER Working Paper 18207. See Harvard Business School Working Paper, No. 12–111, 2015 for longer version.)
- May 2018
- Article
The Amount and Source of Millionaires' Wealth (Moderately) Predicts Their Happiness
By: Grant Edward Donnelly, Tianyi Zheng, Emily Haisley and Michael I. Norton
Two samples of more than 4,000 millionaires reveal two primary findings. First, only at high levels of wealth—in excess of $8 million (Study 1) and $10 million (Study 2)—are wealthier millionaires happier than millionaires with lower levels of wealth, though these...
View Details
Donnelly, Grant Edward, Tianyi Zheng, Emily Haisley, and Michael I. Norton. "The Amount and Source of Millionaires' Wealth (Moderately) Predicts Their Happiness." Personality and Social Psychology Bulletin 44, no. 5 (May 2018): 684–699.
- April 2018
- Article
Compromised Ethics in Hiring Processes? How Referrers' Power Affects Employees' Reactions to Referral Practices
By: Rellie Derfler-Rozin, Bradford Baker and F. Gino
In this paper, we explore referral-based hiring practices and show how a referrer’s power (relative to the hiring manager) influences other organizational members’ support (or lack thereof) for who is hired through perceptions of the hiring manager’s motives and...
View Details
Derfler-Rozin, Rellie, Bradford Baker, and F. Gino. "Compromised Ethics in Hiring Processes? How Referrers' Power Affects Employees' Reactions to Referral Practices." Academy of Management Journal 61, no. 2 (April 2018): 615–636.
- 2021
- Working Paper
Government Shareholdings in Brokerage Firms and Analyst Research Quality
By: Sheng Cao, Xianjie He, Charles C.Y. Wang and Huifang Yin
During times when the Chinese government wished to prop up the market, sell-side analysts from brokerages with significant government ownership issued relatively less pessimistic (or more optimistic) earnings forecasts, earnings-forecast revisions, and stock...
View Details
Keywords:
Sell-side Analysts;
Forecast Optimism;
Forecast Accuracy;
Government Incentives;
Stocks;
Forecasting and Prediction;
Business and Government Relations;
Emerging Markets
Cao, Sheng, Xianjie He, Charles C.Y. Wang, and Huifang Yin. "Government Shareholdings in Brokerage Firms and Analyst Research Quality." Harvard Business School Working Paper, No. 18-095, March 2018. (Revised June 2021.)
- March 2018
- Article
In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions
By: Eva Ascarza, Scott A. Neslin, Oded Netzer, Zachery Anderson, Peter S. Fader, Sunil Gupta, Bruce Hardie, Aurelie Lemmens, Barak Libai, David T. Neal, Foster Provost and Rom Schrift
In today’s turbulent business environment, customer retention presents a significant challenge for many service companies. Academics have generated a large body of research that addresses part of that challenge—with a particular focus on predicting customer churn....
View Details
Ascarza, Eva, Scott A. Neslin, Oded Netzer, Zachery Anderson, Peter S. Fader, Sunil Gupta, Bruce Hardie, Aurelie Lemmens, Barak Libai, David T. Neal, Foster Provost, and Rom Schrift. "In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions." Special Issue on 2016 Choice Symposium. Customer Needs and Solutions 5, nos. 1-2 (March 2018): 65–81.