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Show Results For
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All HBS Web
(1,546)
- People (2)
- News (211)
- Research (1,184)
- Events (24)
- Multimedia (1)
- Faculty Publications (559)
- January 2007
- Article
A Randomized Clinical Trial of EMDR, Fluoxetine and Pill Placebo in the Treatment of PTSD: Treatment Effects and Long-term Maintenance
By: Bessel A. van der Kolk, Joseph Spinazzola, Margaret E. Blaustein, James Hopper, Elizabeth Hopper, Deborah Korn and William B. Simpson
van der Kolk, Bessel A., Joseph Spinazzola, Margaret E. Blaustein, James Hopper, Elizabeth Hopper, Deborah Korn, and William B. Simpson. "A Randomized Clinical Trial of EMDR, Fluoxetine and Pill Placebo in the Treatment of PTSD: Treatment Effects and Long-term Maintenance." Journal of Clinical Psychiatry 68, no. 1 (January 2007).
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...
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Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products 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...
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Keywords:
Causal Inference;
Partial Interference;
Synthetic Controls;
Bayesian Structural Time Series;
Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
- March 2020
- Article
Estimating the Value of Electricity Storage in PJM: Arbitrage and Some Welfare Effects
By: Ramteen Sioshansi, Paul Denholm, Thomas Jenkin and Jurgen Weiss
Significant increases in prices and price volatility of natural gas and electricity have raised interest in the potential economic opportunities for electricity storage. The paper analyzes the arbitrage value of a price-taking storage device in PJM during the six-year...
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Sioshansi, Ramteen, Paul Denholm, Thomas Jenkin, and Jurgen Weiss. "Estimating the Value of Electricity Storage in PJM: Arbitrage and Some Welfare Effects." Energy Economics 31, no. 2 (March 2020): 269–277.
- Article
Beyond the Target Customer: Social Effects in CRM Campaigns
By: Eva Ascarza, Peter Ebbes, Oded Netzer and Matthew Danielson
Customer relationship management (CRM) campaigns have traditionally focused on maximizing the profitability of the targeted customers. The authors demonstrate that in business settings characterized by network externalities, a CRM campaign that is aimed at changing the...
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Keywords:
Social Effects;
Field Experiment;
Mobile;
Customer Relationship Management;
Network Effects;
Consumer Behavior
Ascarza, Eva, Peter Ebbes, Oded Netzer, and Matthew Danielson. "Beyond the Target Customer: Social Effects in CRM Campaigns." Journal of Marketing Research (JMR) 54, no. 3 (June 2017): 347–363.
- 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...
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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.)
- 2001
- Working Paper
Using a Terrorist Attack to Estimate the Effect of Police on Crime
By: Rafael Di Tella and Ernesto Schargrodsky
- 2017
- Working Paper
Peer Effects on the United States Supreme Court
By: Matthew Lilley, Richard Holden and Michael Keane
Using data on essentially every US Supreme Court decision since 1946, we estimate a model of peer effects on the Court. We consider both the impact of justice ideology and justice votes on the votes of their peers. To identify these peer effects we use two instruments....
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Keywords:
Supreme Court;
Peer Effects;
Voting Behavior;
Legal System;
Courts and Trials;
Voting;
Behavior
Lilley, Matthew, Richard Holden, and Michael Keane. "Peer Effects on the United States Supreme Court." Working Paper, February 2017.
- 05 Mar 2012
- News
It's Manufacturing's Turn for Special Treatment
- 2016
- Chapter
Changing Behavior Beyond the Here and Now
By: Todd Rogers and Erin Frey
Rogers, Todd, and Erin Frey. "Changing Behavior Beyond the Here and Now." In The Wiley Blackwell Handbook of Judgment and Decision Making, edited by Gideon Keren and George Wu, 725–748. Wiley-Blackwell, 2016.
- Research Summary
Estimating Demand Uncertainty Using Judgmental Forecasts
Measuring demand uncertainty is a key activity in supply chain planning, but is difficult when demand history is unavailable such as for new products. One method that can be applied in such cases uses dispersion among forecasting experts as a measure of demand...
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- 22 Oct 2020
- Working Paper Summaries
Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models
Keywords:
by Fiammetta Menchetti and Iavor Bojinov
- Forthcoming
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to...
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Keywords:
Long-run Targeting;
Heterogeneous Treatment Effect;
Statistical Surrogacy;
Customer Churn;
Field Experiments;
Consumer Behavior;
Customer Focus and Relationships;
AI and Machine Learning;
Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science (forthcoming). (Pre-published online March 6, 2024.)
- 22 Feb 2022
- Research & Ideas
Lack of Female Scientists Means Fewer Medical Treatments for Women
Women are more likely to invent medical treatments for endometriosis, cervical cancer, and other female conditions, but the dearth of women scientists limits the potential for such life-saving innovations. Female research teams are 35...
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Keywords:
by Kristen Senz
- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that...
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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?" Journal of Financial Economics 144, no. 2 (May 2022): 370–395. (Editor's Choice, May 2022; Jensen Prize, First Place, June 2023.)
- December 2012
- Article
Estimating the Value of Connections to Vice-President Cheney
By: Rakesh Khurana, Raymond Fisman, Julia Galef and Yongxiang Wang
We estimate the market valuation of personal ties to Richard Cheney. Our proxies for personal ties are based on corporate board linkages that are prevalent in the network sociology literature. We consider a number of distinct political and personal events that either...
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Khurana, Rakesh, Raymond Fisman, Julia Galef, and Yongxiang Wang. "Estimating the Value of Connections to Vice-President Cheney." B.E. Journal of Economic Analysis & Policy 13, no. 3 (December 2012).
- March 2021
- Article
On the Direct and Indirect Real Effects of Credit Supply Shocks
By: Laura Alfaro, Manuel García-Santana and Enrique Moral-Benito
We explore the real effects of bank-lending shocks and how they permeate the economy through buyer-supplier linkages. We combine administrative data on all Spanish firms with a matched bank-firm-loan dataset of all corporate loans from 2003 to 2013 to estimate...
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Keywords:
Credit Supply Shocks;
Bank Lending Channel;
Input-output Linkages;
Output;
Mechanisms;
Trade Credits;
Price Effects;
Economics;
Credit;
System Shocks;
Employment;
Investment;
Spain
Alfaro, Laura, Manuel García-Santana, and Enrique Moral-Benito. "On the Direct and Indirect Real Effects of Credit Supply Shocks." Journal of Financial Economics 139, no. 3 (March 2021): 895–921.
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its...
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Keywords:
Causal Inference;
Homophily;
Social Networks;
Peer Influence;
Social and Collaborative Networks;
Power and Influence;
Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore...
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- 2011
- Working Paper
Matthew: Effect or Fable?
In a market context, a status effect occurs when actors are accorded differential recognition for their efforts depending on their location in a status ordering, holding constant the quality of these efforts. In practice, because it is very difficult to measure...
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Azoulay, Pierre, Toby E. Stuart, and Yanbo Wang. "Matthew: Effect or Fable?" Harvard Business School Working Paper, No. 12-049, December 2011.