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(148)
- News (14)
- Research (115)
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- Faculty Publications (51)
Show Results For
- All HBS Web
(148)
- News (14)
- Research (115)
- Multimedia (1)
- Faculty Publications (51)
- Article
(Too) Optimistic about Optimism: The Belief that Optimism Improves Performance.
By: Elizabeth R. Tenney, Jennifer M. Logg and Don A Moore
A series of experiments investigated why people value optimism and whether they are right to do so. In Experiments 1A and 1B, participants prescribed more optimism for someone implementing decisions than for someone deliberating, indicating that people prescribe... View Details
Keywords: Optimism; Bias; Accuracy; Decision Phase; Performance; Attitudes; Performance Improvement; Perception; Outcome or Result
Tenney, Elizabeth R., Jennifer M. Logg, and Don A Moore. "(Too) Optimistic about Optimism: The Belief that Optimism Improves Performance." Journal of Personality and Social Psychology 108, no. 3 (March 2015): 377–399. (lead article.)
- 2021
- Working Paper
Invisible Primes: Fintech Lending with Alternative Data
By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to... View Details
Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit
Di Maggio, Marco, Dimuthu Ratnadiwakara, and Don Carmichael. "Invisible Primes: Fintech Lending with Alternative Data." Harvard Business School Working Paper, No. 22-024, October 2021.
- 2021
- Working Paper
Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This study jointly examines agents’ time dependence—period effects within instantaneous utility—and time preference—behavior on discounting future utility. The study considers the start- and end-of-period effects for time dependence and exponential and hyperbolic... View Details
Keywords: Time Preferences; Present Bias; Hyperbolic Discounting; Compensation; Dynamic Structural Models; Identification; Time Management; Motivation and Incentives; Behavior; Performance; Compensation and Benefits
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling." Harvard Business School Working Paper, No. 21-121, April 2021.
- 2024
- Working Paper
A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?
By: Paula Rettl, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi and Sergi Pardos-Prado
The growing participation of women in the labor market has marked a significant societal transformation, coinciding with the rise of gender conservatism and far-right support. We study whether the economic consequences of labor market feminization and gender backlash... View Details
Keywords: Gender Bias; Gender Equality; Gender Inclusivity; Politics; Political Backlash; Political Culture; Conservatism; Gender; Government and Politics; Equality and Inequality; Prejudice and Bias; Labor
Rettl, Paula, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi, and Sergi Pardos-Prado. "A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?" Harvard Business School Working Paper, No. 25-022, November 2024.
- January 2010
- Article
The Role of Experience in the Gambler's Fallacy
By: Greg Barron and Stephen Leider
Recent papers have demonstrated that the way people acquire information about a decision problem, by experience or by abstract description, can affect their behavior. We examined the role of experience over time in the emergence of the Gambler's Fallacy in binary... View Details
Keywords: Experience and Expertise; Decision Making; Forecasting and Prediction; Knowledge Acquisition; Outcome or Result; Game Theory; Prejudice and Bias
Barron, Greg, and Stephen Leider. "The Role of Experience in the Gambler's Fallacy." Special Issue on Decisions from Experience. Journal of Behavioral Decision Making 23, no. 1 (January 2010).
- April–May 2017
- Article
Career Concerns of Banking Analysts
By: Joanne Horton, George Serafeim and Shan Wu
We study how career concerns influence banking analysts' forecasts and how their forecasting behavior benefits both them and bank managers. We show that banking analysts issue early in the year relatively more optimistic and later in the year more pessimistic forecasts... View Details
Keywords: Sell-side Analysts; Analyst Forecasts; Analysts; Investment Recommendations; Career Advancement; Career Management; Labor Mobility; Labor Market; Prejudice and Bias; Personal Development and Career; Forecasting and Prediction; Investment Banking
Horton, Joanne, George Serafeim, and Shan Wu. "Career Concerns of Banking Analysts." Journal of Accounting & Economics 63, nos. 2-3 (April–May 2017): 231–252.
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- 16 Oct 2008
- Working Paper Summaries
Making the Gambler’s Fallacy Disappear: The Role of Experience
Keywords: by Gregory M. Barron & Stephen Leider
- 2021
- Working Paper
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
- 11 Mar 2008
- First Look
First Look: March 11, 2008
firm's balanced scorecard to provide useful information for detecting problems in its strategy. Download the paper: http://www.hbs.edu/research/pdf/08-081.pdf No Harm, No Foul: The Outcome Bias in Ethical... View Details
Keywords: Martha Lagace
- April 2018
- Article
We Ask Men to Win & Women Not to Lose: Closing the Gender Gap in Startup Funding
By: Dana Kanze, Laura Huang, Mark Conley and E. Tory Higgins
Male entrepreneurs are known to raise higher levels of funding than their female counterparts, but the underlying mechanism for this funding disparity remains contested. Drawing upon Regulatory Focus Theory, we propose that the gap originates with a gender bias in the... View Details
Kanze, Dana, Laura Huang, Mark Conley, and E. Tory Higgins. "We Ask Men to Win & Women Not to Lose: Closing the Gender Gap in Startup Funding." Academy of Management Journal 61, no. 2 (April 2018): 586–614.
- 2023
- Working Paper
Causal Interpretation of Structural IV Estimands
By: Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan and Jesse M. Shapiro
We study the causal interpretation of instrumental variables (IV) estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification. We focus on guaranteeing that the researcher's estimator is sharp zero consistent, meaning... View Details
Keywords: Mathematical Methods
Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper Series, No. 31799, October 2023.
- Article
Overcoming the Winner's Curse: An Adaptive Learning Perspective
By: Yoella Bereby-Meyer and Brit Grosskopf
The winner's curse phenomenon refers to the fact that the winner in a common value auction, in order to actually win the auction, is likely to have overestimated the item's value and consequently is likely to gain less than expected and may even lose (i.e., it is said... View Details
Bereby-Meyer, Yoella, and Brit Grosskopf. "Overcoming the Winner's Curse: An Adaptive Learning Perspective." Journal of Behavioral Decision Making 21, no. 1 (January 2008): 15–27.
- November 2023
- Article
Brokerage House Initial Public Offerings and Analyst Forecast Quality
By: Mark Bradshaw, Michael Drake, Joseph Pacelli and Brady Twedt
We examine how brokerage firm initial public offerings (IPOs) influence the research quality of sell-side analysts employed by the brokerage. Our main results focus on earnings forecast bias and absolute forecast errors as proxies for research quality. Using a... View Details
Keywords: IPOs; Research Analysts; ＂Brokerage Industry; Initial Public Offering; Employees; Behavior; Outcome or Result
Bradshaw, Mark, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage House Initial Public Offerings and Analyst Forecast Quality." Management Science 69, no. 11 (November 2023): 7079–7094.
- October 6, 2015
- Article
Compared to Men, Women View Professional Advancement as Equally Attainable, but Less Desirable
By: Francesca Gino, Caroline Ashley Wilmuth and Alison Wood Brooks
Women are underrepresented in most high-level positions in organizations. While a great deal of research has provided evidence that bias and discrimination give rise to and perpetuate this gender disparity, in the current research, we explore another explanation: men... View Details
Gino, Francesca, Caroline Ashley Wilmuth, and Alison Wood Brooks. "Compared to Men, Women View Professional Advancement as Equally Attainable, but Less Desirable." Proceedings of the National Academy of Sciences 112, no. 40 (October 6, 2015).
- June 1990 (Revised March 1991)
- Supplement
Jonah Creighton (B)
By: Anne Donnellon and Joshua D. Margolis
Covers Jonah's two-hour meeting with the company's executive vice president who is next in line to become president, and the outcome of the discriminatory hiring incident that initially troubled Jonah. View Details
Donnellon, Anne, and Joshua D. Margolis. "Jonah Creighton (B)." Harvard Business School Supplement 490-091, June 1990. (Revised March 1991.)
- 2017
- Working Paper
Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments
By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.