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Show Results For
- All HBS Web
(2,320)
- People (1)
- News (588)
- Research (1,495)
- Events (11)
- Multimedia (15)
- Faculty Publications (661)
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- 2023
- Working Paper
Channeled Attention and Stable Errors
By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
We develop a framework for assessing when somebody will eventually notice that she has
a misspecified model of the world, premised on the idea that she neglects information that
she deems—through the lens of her misconceptions—to be irrelevant. In doing so, we... View Details
Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors." Working Paper, August 2023. (Revise and Resubmit, Quarterly Journal of Economics.)
- 2014
- Article
Attentional Rhythm: A Temporal Analogue of Object-Based Attention
By: Julian De Freitas, Brandon Liverence and Brian J. Scholl
The underlying units of attention are often discrete visual objects. Perhaps the clearest form of evidence for this is the same-object advantage: Following a spatial cue, responses are faster to probes occurring on the same object than they are to probes occurring on... View Details
De Freitas, Julian, Brandon Liverence, and Brian J. Scholl. "Attentional Rhythm: A Temporal Analogue of Object-Based Attention." Journal of Experimental Psychology: General 143, no. 1 (February 2014): 71–76.
- 2013
- Working Paper
Asset Price Dynamics with Limited Attention
By: Mark Seasholes, Terrence Hendershott, Sunny X. Li and Albert J. Menkveld
This paper studies the role that limited attention and inefficient risk sharing play in stock price deviations from the efficient prices at horizons from one day to one month. We expand the Due (2010) slow-moving capital model to analyze multiple groups of investors... View Details
Keywords: Transitory Volatility; Limited Attention; Individuals; Market Makers; Asset Pricing; Financial Markets; Volatility
Seasholes, Mark, Terrence Hendershott, Sunny X. Li, and Albert J. Menkveld. "Asset Price Dynamics with Limited Attention." Working Paper, November 2013. (2nd round at the Journal of Finance.)
- 2021
- Working Paper
Public Disclosure of Private Meetings: Does Observing Peers' Information Acquisition Affect Analysts' Attention Allocation?
By: Yi Ru, Ronghuo Zheng and Yuan Zou
We investigate the impact of observing peers’ information acquisition on financial analysts’ attention allocation. Using the timely disclosure mandate by the Shenzhen Stock Exchange as a setting, we find that, when analysts can observe that a firm is visited by other... View Details
Keywords: Attention Allocation; Informational Efficiency; Corporate Site Visits; Externalities; Information; Acquisition; Corporate Disclosure; Outcome or Result
Ru, Yi, Ronghuo Zheng, and Yuan Zou. "Public Disclosure of Private Meetings: Does Observing Peers' Information Acquisition Affect Analysts' Attention Allocation?" Harvard Business School Working Paper, No. 22-064, July 2021.
- 2016
- Working Paper
The Empirical Economics of Online Attention
By: Andre Boik, Shane Greenstein and Jeffrey Prince
In several markets, firms compete not for consumer expenditure but instead for consumer attention. We model and characterize how households allocate their scarce attention in arguably the largest market for attention: the Internet. Our characterization of household... View Details
Keywords: Internet and the Web; Competition; Behavior; Resource Allocation; Household; Cognition and Thinking
Boik, Andre, Shane Greenstein, and Jeffrey Prince. "The Empirical Economics of Online Attention." NBER Working Paper Series, No. 22427, July 2016.
- Article
Selective Attention and Learning
Schwartzstein, Joshua. "Selective Attention and Learning." Journal of the European Economic Association 12, no. 6 (December 2014): 1423–1452. (Online Appendix.)
- Research Summary
Selective Attention and Learning
What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details
- 2012
- Conference Presentation
Attentional Rhythm: A Temporal Analogue of Object-based Attention
By: J. De Freitas, B. Liverence and B. J. Scholl
Mind the Attention Gap
Thales Teixeira, Harvard Business School professor, talks to McKinsey partner Dave Edelman about how companies need to focus on attention when thinking about advertising.
>View Details
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- Research Summary
Attention Arousal Through Price Partitioning
Existing evidence suggests that preferences are affected by whether a price is presented as one all-inclusive expense or partitioned into a set of mandatory charges. To explain this phenomenon, we introduce a new mechanism whereby price partitioning affects a consumers... View Details
"Selective Attention and Learning"
What do we notice and how does this affect what we learn and come to believe? I present a model of an agent who learns to make forecasts on the basis of readily available information, but is selective as to which information he attends to: he chooses whether to... View Details
- Research Summary
Advertising and the Economics of Attention
Using novel technologies, such as eye- and face-tracking, to gauge attentional and emotional (facial) reactions to advertising, Professor Teixeira studies how advertising effectiveness can be optimized. Through complex statistical models of consumer response, he... View Details
- 17 Aug 2016
- Working Paper Summaries
The Empirical Economics of Online Attention
The Rising Cost of Consumer Attention
Attention is a necessary ingredient for effective advertising. The market for consumer attention (or “eyeballs”) has become so competitive that attention can be regarded as a currency. The rising cost of this ingredient in the marketplace is causing marketers to... View Details
- March – April 2008
- Article
Attention Arousal through Price Partitioning
By: Luc Wathieu and Marco Bertini
Wathieu, Luc, and Marco Bertini. "Attention Arousal through Price Partitioning." Marketing Science 27, no. 2 (March–April 2008): 236–246.
- 11 Jul 2018
- Working Paper Summaries
Channeled Attention and Stable Errors
- 03 Nov 2015
- News
Marketers Should Pay Attention to fMRI
- 14 Jul 2014
- Research & Ideas
Pay Attention To Your ‘Extreme Consumers’
What do Porsche fanatics, a video game hater, and a person who cooked two weeks' worth of meals in a rice cooker have in common? They are all "extreme consumers"—those whose tastes are so out there that mainstream market researchers tend to dismiss them as "noise" when... View Details
Keywords: by Michael Blanding
- 2013
- Working Paper
Span of Control and Span of Attention
By: Oriana Bandiera, Andrea Prat, Raffaella Sadun and Julie Wulf
Using novel data on CEO time use, we document the relationship between the size and composition of the executive team and the attention of the CEO. We combine information about CEO span of control for a sample of 65 companies with detailed data on how CEOs allocate... View Details
Keywords: Conferences; Analytics and Data Science; Leadership Style; Management Style; Managerial Roles; Time Management; Planning
Bandiera, Oriana, Andrea Prat, Raffaella Sadun, and Julie Wulf. "Span of Control and Span of Attention." Harvard Business School Working Paper, No. 12-053, December 2011. (Revised April 2014.)
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.