Filter Results
:
(9)
Show Results For
-
All HBS Web
(34)
- Faculty Publications (9)
Show Results For
-
All HBS Web
(34)
- Faculty Publications (9)
Page 1 of
9
Results
- 2020
- Working Paper
Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless...
View Details
Keywords:
Causal Inference;
Partial Interference;
Synthetic Controls;
Bayesian Structural Time Series;
Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models." Harvard Business School Working Paper, No. 21-048, October 2020.
- August 2017
- Article
Incentives versus Reciprocity: Insights from a Field Experiment
By: Doug J. Chung and Das Narayandas
We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of...
View Details
Keywords:
Sales Force Compensation;
Field Experiment;
Heterogeneity;
Loss Aversion;
Reciprocity;
Salesforce Management;
Compensation and Benefits
Chung, Doug J., and Das Narayandas. "Incentives versus Reciprocity: Insights from a Field Experiment." Journal of Marketing Research (JMR) 54, no. 4 (August 2017): 511–524. (Lead article.)
- 2015
- Working Paper
Incentives versus Reciprocity: Insights from a Field Experiment
By: Doug J. Chung and Das Narayandas
We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of...
View Details
Keywords:
Sales Force Compensation;
Field Experiment;
Heterogeneity;
Loss Aversion;
Reciprocity;
Motivation and Incentives;
Salesforce Management;
Compensation and Benefits
Chung, Doug J., and Das Narayandas. "Incentives versus Reciprocity: Insights from a Field Experiment." Harvard Business School Working Paper, No. 15-084, April 2015. (Revised November 2015.)
- 2013
- Dissertation
Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics
By: Clarence Lee, Vineet Kumar and Sunil Gupta
Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers...
View Details
- May 2011
- Article
Overconfidence by Bayesian Rational Agents
This paper derives two mechanisms through which Bayesian-rational individuals with differing priors will tend to be relatively overconfident about their estimates and predictions, in the sense of overestimating the precision of these estimates. The intuition behind one...
View Details
Keywords:
Decision Choices and Conditions;
Forecasting and Prediction;
Knowledge Acquisition;
Risk Management;
Prejudice and Bias
Van den Steen, Eric J. "Overconfidence by Bayesian Rational Agents." Management Science 57, no. 5 (May 2011): 884–896.
- 2010
- Working Paper
Overconfidence by Bayesian Rational Agents
This paper derives two mechanisms through which Bayesian-rational individuals with differing priors will tend to be relatively overconfident about their estimates and predictions, in the sense of overestimating the precision of these estimates. The intuition behind one...
View Details
Van den Steen, Eric. "Overconfidence by Bayesian Rational Agents." Harvard Business School Working Paper, No. 11-049, November 2010.
- 2009
- Working Paper
Do Friends Influence Purchases in a Social Network?
By: Raghuram Iyengar, Sangman Han and Sunil Gupta
Social networks, such as Facebook and Myspace have witnessed a rapid growth in their membership. Some of these businesses have tried an advertising-based model with very limited success. However, these businesses have not fully explored the power of their members to... View Details
Keywords:
Marketing;
Network Effects;
Sales;
Power and Influence;
Social and Collaborative Networks;
Web Sites;
South Korea
Iyengar, Raghuram, Sangman Han, and Sunil Gupta. "Do Friends Influence Purchases in a Social Network?" Harvard Business School Working Paper, No. 09-123, April 2009.
- November 2007
- Background Note
Bayesian Estimation & Black-Litterman
By: Joshua D. Coval and Erik Stafford
Describes a practical method for asset allocation that is more robust to estimation errors than the traditional implementation of mean-variance optimization with sample means and covariances. The Bayesian inspired Black-Litterman model is described after introducing...
View Details
Coval, Joshua D., and Erik Stafford. "Bayesian Estimation & Black-Litterman." Harvard Business School Background Note 208-085, November 2007.
- Teaching Interest
Marketing Models Doctoral Seminar
By: Doug J. Chung
This course is a doctoral level course on Quantitative Marketing. We will cover methodological as well as substantive topics this semester. Methodological topics include: Choice models, Entry and Exit models, Dynamic structural models, Bayesian estimation methods... View Details