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- Faculty Publications (121)
Show Results For
- All HBS Web (350)
- Faculty Publications (121)
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details
- 14 May 2019
- Working Paper Summaries
Do Experts Listen to Other Experts? Field Experimental Evidence from Scientific Peer Review
- July 2021
- Article
Do Interactions with Candidates Increase Voter Support and Participation? Experimental Evidence from Italy
By: Enrico Cantoni and Vincent Pons
We test whether politicians can use direct contact to reconnect with citizens, increase turnout, and win votes. During the 2014 Italian municipal elections, we randomly assigned 26,000 voters to receive visits from city council candidates, from canvassers supporting... View Details
Keywords: Campaigns; Candidates; Elections; Experiment; Political Parties; Turnout; Voting Behavior; Voting; Political Elections; Behavior; Interpersonal Communication; Italy
Cantoni, Enrico, and Vincent Pons. "Do Interactions with Candidates Increase Voter Support and Participation? Experimental Evidence from Italy." Economics & Politics 33, no. 2 (July 2021): 379–402.
- January 2019
- Article
The ABCs of Financial Education: Experimental Evidence on Attitudes, Behavior, and Cognitive Biases
By: Fenella Carpena, Shawn A. Cole, Jeremy Shapiro and Bilal Zia
This paper uses a large-scale field experiment in India to study attitudinal, behavioral, and cognitive constraints that can stymie the link between financial education and financial outcomes. The study complements financial education with (1) financial incentives on a... View Details
Carpena, Fenella, Shawn A. Cole, Jeremy Shapiro, and Bilal Zia. "The ABCs of Financial Education: Experimental Evidence on Attitudes, Behavior, and Cognitive Biases." Management Science 65, no. 1 (January 2019): 346–369.
- 11 Feb 2016
- Working Paper Summaries
Do Interactions with Candidates Increase Voter Support and Participation? Experimental Evidence from Italy
- 21 Apr 2010
- Working Paper Summaries
Why Do Firms Use Non-Linear Incentive Schemes? Experimental Evidence on Sorting and Overconfidence
Keywords: by Ian Larkin & Stephen Leider
- June 2011
- Article
Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor
By: Christina Fong and Felix Oberholzer-Gee
It is often difficult for donors to predict the value of charitable giving because they know little about the persons who receive their help. This concern is particularly acute when making contributions to organizations that serve heterogeneous populations. While we... View Details
Keywords: Philanthropy and Charitable Giving; Policy; Information; Knowledge Acquisition; Game Theory; Prejudice and Bias; Poverty; Welfare
Fong, Christina, and Felix Oberholzer-Gee. "Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor." Special Issue on Charitable Giving and Fundraising Journal of Public Economics 95, nos. 5-6 (June 2011): 436–444.
- 04 Nov 2015
- Working Paper Summaries
Do People Who Care About Others Cooperate More? Experimental Evidence from Relative Incentive Pay
- Article
Does the Classic Microfinance Model Discourage Entrepreneurship Among the Poor? Experimental Evidence from India
By: Erica Field, Rohini Pande, John Papp and Natalia Rigol
Do the repayment requirements of the classic microfinance contract inhibit investment in high-return but illiquid business opportunities among the poor? Using a field experiment, we compare the classic contract which requires that repayment begin immediately after loan... View Details
Field, Erica, Rohini Pande, John Papp, and Natalia Rigol. "Does the Classic Microfinance Model Discourage Entrepreneurship Among the Poor? Experimental Evidence from India." American Economic Review 103, no. 6 (October 2013): 2196–2226.
- November 2011
- Article
Competing Matchmakers: An Experimental Analysis
By: Tanjim Hossain, Dylan B. Minor and John Morgan
Platform competition is ubiquitous, yet platform market structure is little understood. Theory models typically suffer from equilibrium multiplicity—platforms might coexist or the market might tip to either platform. We use laboratory experiments to study the outcomes... View Details
Keywords: Platform Competition; Two-Sided Markets; E-commerce; Competition; Two-Sided Platforms; Monopoly
Hossain, Tanjim, Dylan B. Minor, and John Morgan. "Competing Matchmakers: An Experimental Analysis." Management Science 57, no. 11 (November 2011): 1913–1925.
- 2012
- Chapter
The Confederacy of Heterogeneous Software Organizations and Heterogeneous Developers: Field Experimental Evidence on Sorting and Worker Effort
By: Kevin J. Boudreau and Karim R. Lakhani
Software development occurs in a patchwork or "confederacy" of different types of institutions (universities, small start-ups, multinational enterprises, government agencies, etc.) utilizing varied work approaches. Here we speculate on one possible explanation for this... View Details
Keywords: Innovation and Invention; Applications and Software; Product Development; Organizations; Employees; Behavior; Competition; Cooperation; Creativity; Information Technology Industry
Boudreau, Kevin J., and Karim R. Lakhani. "The Confederacy of Heterogeneous Software Organizations and Heterogeneous Developers: Field Experimental Evidence on Sorting and Worker Effort." In The Rate and Direction of Inventive Activity Revisited, edited by Josh Lerner and Scott Stern, 483–502. University of Chicago Press, 2012.
- 2014
- Working Paper
Saving More to Borrow Less: Experimental Evidence from Access to Formal Savings Accounts in Chile
By: Felipe Kast and Dina Pomeranz
Poverty is often characterized not only by low and unstable income, but also by heavy debt burdens. We find that reducing barriers to saving through access to free savings accounts decreases participants' short-term debt by about 20%. In addition, participants who... View Details
Kast, Felipe, and Dina Pomeranz. "Saving More to Borrow Less: Experimental Evidence from Access to Formal Savings Accounts in Chile." NBER Working Paper Series, No. 20239, June 2014. (Revision requested by Journal of Public Economics. Featured in La Tercera. Harvard Business School Working Paper, No. 14-001, July 2013)
- April 2015
- Article
Incentivizing Calculated Risk-Taking: Evidence from an Experiment with Commercial Bank Loan Officers
By: Shawn Cole, Martin Kanz and Leora Klapper
This paper uses a series of experiments with commercial bank loan officers to test the effect of performance incentives on risk assessment and lending decisions. We first show that while high-powered incentives lead to greater screening effort and more profitable... View Details
Keywords: Banking; Management Processes; Credit Products; Experimental Economics; Risk Management; Motivation and Incentives; Management Practices and Processes; Financing and Loans; Banking Industry
Cole, Shawn, Martin Kanz, and Leora Klapper. "Incentivizing Calculated Risk-Taking: Evidence from an Experiment with Commercial Bank Loan Officers." Journal of Finance 70, no. 2 (April 2015): 537–575.
- 2010
- Comment
Does Arrest Deter Violence? Comparing Experimental and Nonexperimental Evidence on Mandatory Arrest Laws, by Radha Iyengar
By: Rafael Di Tella
Di Tella, Rafael. Comment on "Does Arrest Deter Violence? Comparing Experimental and Nonexperimental Evidence on Mandatory Arrest Laws, by Radha Iyengar." Chap. 12 The Economics of Crime: Lessons for and from Latin America, edited by Rafael Di Tella, Sebastian Edwards, and Ernesto Schargrodsky, 453–456. National Bureau of Economic Research Conference Report. University of Chicago Press, 2010.
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- 2016
- Working Paper
Experimental Evidence on Policies Aimed at Closing the Gender Gap in Willingness to Guess on Multiple-Choice Tests
Research has shown that women skip more questions than men on multiple-choice tests with penalties for wrong answers. We propose and test five policy changes aimed at eliminating this source of gender bias in test scores. Our data show that simply removing the penalty... View Details
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details