Filter Results
:
(355)
Show Results For
- All HBS Web (355)
- Faculty Publications (134)
Show Results For
- All HBS Web (355)
- Faculty Publications (134)
- Research Summary
Overview
I am currently a Principal or Co-Principal Investigator of five field-based randomized controlled trials, each of which examines the management of lay health workers in developing countries, with an eye toward generating theoretical insights and policy guidance on how...
View Details
- Research Summary
Overview
I am currently a Principal or Co-Principal Investigator of five field-based randomized controlled trials, each of which examines the management of lay health workers in developing countries, with an eye toward generating theoretical insights and policy guidance on how...
View Details
- Research Summary
Overview
I am currently a Principal or Co-Principal Investigator of five field-based randomized controlled trials, each of which examines the management of lay health workers in developing countries, with an eye toward generating theoretical insights and policy guidance on how...
View Details
What's the Right Kind of Bonus to Motivate Your Sales Force?
Companies typically compensate their sales force by using some combination of salary, commission, and bonuses, but executives are often unsure which incentives provide the best motivation. Should bonuses be tied to quotas or should they be given unconditionally? Is...
View Details
- 2016
- Working Paper
Saving More in Groups: Field Experimental Evidence from Chile
By: Felipe Kast, Stephan Meier and Dina Pomeranz
We test the impact of a peer group savings program on precautionary savings through two randomized field experiments among 2,687 microcredit clients. The first experiment finds that the Peer Group Treatment, which combines public goal setting, monitoring in the group,...
View Details
Keywords:
Saving;
Decision Making;
Interest Rates;
Planning;
Performance Effectiveness;
Economics;
Entrepreneurship;
Growth and Development;
Social Enterprise;
Global Range;
Chile
Kast, Felipe, Stephan Meier, and Dina Pomeranz. "Saving More in Groups: Field Experimental Evidence from Chile." Harvard Business School Working Paper, No. 12-060, January 2012. (Revised April 2016. Revision requested by Journal of Development Economics.
Featured in Time, Business Insider, Freakonomics, Wall Street Journal, Yahoo! Finance, and others.)
- September 12, 2017
- Article
What's the Right Kind of Bonus to Motivate Your Sales Force?
By: Doug J. Chung and Das Narayandas
Companies typically compensate their sales force by using some combination of salary, commission, and bonuses, but executives are often unsure which incentives provide the best motivation. Should bonuses be tied to quotas or should they be given unconditionally? Is it...
View Details
Chung, Doug J., and Das Narayandas. "What's the Right Kind of Bonus to Motivate Your Sales Force?" Harvard Business Review (website) (September 12, 2017).
- March–April 2013
- Article
Unlocking Innovation Through Business Experimentation
By: Stefan Thomke
There is a downside to businesses that focus heavily on standardization, optimization, and driving out variability: Such organizations leave themselves vulnerable to underinvesting in experimentation and variation, which are the lifeblood of innovation. Good...
View Details
Keywords:
Experimentation;
Innovation Management;
Learning And Development;
Research;
Innovation and Management;
Business Processes
Thomke, Stefan. "Unlocking Innovation Through Business Experimentation." European Business Review (March–April 2013): 55–58.
- July 2021
- Article
Invisible Inequality Leads to Punishing the Poor and Rewarding the Rich
By: Oliver P. Hauser, Gordon T. Kraft-Todd, David Rand, Martin A. Nowak and Michael I. Norton
Four experiments examine how the lack of awareness of inequality affects behaviour towards the rich and poor. In Experiment 1, participants who became aware that wealthy individuals donated a smaller percentage of their income switched from rewarding the wealthy to...
View Details
Keywords:
Income Transparency;
Income;
Wealth;
Equality and Inequality;
Knowledge;
Behavior;
Outcome or Result;
Society;
Policy
Hauser, Oliver P., Gordon T. Kraft-Todd, David Rand, Martin A. Nowak, and Michael I. Norton. "Invisible Inequality Leads to Punishing the Poor and Rewarding the Rich." Behavioural Public Policy 5, no. 3 (July 2021): 333–353.
- January 2013
- Article
Barriers to Household Risk Management: Evidence from India
By: Shawn A. Cole, Xavier Gine, Jeremy Tobacman, Petia Topalova, Robert M. Townsend and James Vickery
Why do many households remain exposed to large exogenous sources of non-systematic income risk? We use a series of randomized field experiments in rural India to test the importance of price and non-price factors in the adoption of an innovative rainfall insurance...
View Details
Cole, Shawn A., Xavier Gine, Jeremy Tobacman, Petia Topalova, Robert M. Townsend, and James Vickery. "Barriers to Household Risk Management: Evidence from India." American Economic Journal: Applied Economics 5, no. 1 (January 2013): 104–135.
Importance of Being Causal
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized... View Details
- Web
Bridging Science and Business: My Summer Internship at Eli Lilly - MBA
Blog Blog MBA Voices Filter Results Arrow Down Arrow Up Read posts from Author Alumni Author Career and Professional Development Staff Author HBS Community Author HBS Faculty Author MBA Admissions Author MBA Students Topics Topics 1st Year (RC) 2+2 Program 2nd Year...
View Details
- April 2024
- Article
Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior
By: Raymond Kluender
Pay-as-you-go contracts reduce minimum purchase requirements which may increase market participation. We randomize the introduction and price(s) of a novel pay-as-you-go contract to the California auto insurance market where 17 percent of drivers are uninsured. The...
View Details
Kluender, Raymond. "Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior." Review of Financial Studies 37, no. 4 (April 2024): 1118–1148.
- Article
Corruption and Firms
By: Emanuele Colonnelli and Mounu Prem
We estimate the causal real economic effects of a randomized anti-corruption crackdown on local governments in Brazil using rich micro-data on corruption and firms. After anti-corruption audits, municipalities experience an increase in the number of firms concentrated...
View Details
Colonnelli, Emanuele, and Mounu Prem. "Corruption and Firms." Review of Economic Studies 89, no. 2 (March 2022): 695–732.
- Article
No Taxation Without Information: Deterrence and Self-Enforcement in the Value Added Tax
By: Dina Pomeranz
Claims that the VAT facilitates tax enforcement by generating paper trails on transactions between firms contributed to widespread VAT adoption worldwide, but there is surprisingly little evidence. This paper analyzes the role of third-party information for VAT...
View Details
Pomeranz, Dina. "No Taxation Without Information: Deterrence and Self-Enforcement in the Value Added Tax." American Economic Review 105, no. 8 (August 2015): 2539–2569. (Featured by CNN, Vox.eu, World Bank News, Bloomberg News and others.)
- Article
The Effect of Providing Peer Information on Retirement Savings Decisions
By: John Beshears, James J. Choi, David Laibson, Brigitte C. Madrian and Katherine L. Milkman
Using a field experiment in a 401(k) plan, we measure the effect of disseminating information about peer behavior on savings. Low-saving employees received simplified plan enrollment or contribution increase forms. A randomized subset of forms stated the fraction of...
View Details
Beshears, John, James J. Choi, David Laibson, Brigitte C. Madrian, and Katherine L. Milkman. "The Effect of Providing Peer Information on Retirement Savings Decisions." Journal of Finance 70, no. 3 (June 2015): 1161–1201.
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments....
View Details
Keywords:
Causal Inference;
Observational Studies;
Cross-sectional Studies;
Panel Studies;
Interrupted Time-series;
Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
- April 2020
- Article
Designs for Estimating the Treatment Effect in Networks with Interference
By: Ravi Jagadeesan, Natesh S. Pillai and Alexander Volfovsky
In this paper, we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matching in observational studies, we introduce the notion of considering a treatment...
View Details
Keywords:
Experimental Design;
Network Inference;
Neyman Estimator;
Symmetric Interference Model;
Homophily
Jagadeesan, Ravi, Natesh S. Pillai, and Alexander Volfovsky. "Designs for Estimating the Treatment Effect in Networks with Interference." Annals of Statistics 48, no. 2 (April 2020): 679–712.
- 28 Nov 2018
- HBS Seminar
Paul Niehaus, University of California San Diego, Department of Economics
A Causal Test of the Strength of Weak Ties
The strength of weak ties is an influential social-scientific theory that stresses the importance of weak associations (e.g., acquaintance versus close friendship) in influencing the transmission of information through social networks. However, causal tests of...
View Details
The Discipline of Business Experimentation
The data you already have can't tell you how customers will react to innovations. To discover if a truly novel concept will succeed, you must subject it to a rigorous experiment. In most companies, tests do not adhere to scientific and statistical principles. As...
View Details