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- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
- November–December 2023
- Article
Tax-Loss Harvesting with Cryptocurrencies
By: Lin William Cong, Wayne Landsman, Edward Maydew and Daniel Rabetti
We describe the taxation landscape in the cryptocurrency markets, especially concerning U.S. taxpayers, and examine how recent increases in tax scrutiny have led to changes in crypto investors' trading behavior. We argue conceptually and then empirically document that... View Details
- 2023
- Working Paper
The Impact of Unionization on Consumer Perceptions of Service Quality: Evidence from Starbucks
By: Isamar Troncoso, Minkyung Kim, Ishita Chakraborty and SooHyun Kim
The US has seen a rise in union movements, but their effects on service industry marketing outcomes like customer satisfaction and perceptions of service quality remain understudied. In this paper, we empirically study the impact on customer satisfaction and... View Details
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
- November 2023
- Article
A Quantity-Driven Theory of Term Premia and Exchange Rates
We develop a model in which specialized bond investors must absorb shocks to the supply and demand for long-term bonds in two currencies. Since long-term bonds and foreign exchange are both exposed to unexpected movements in short-term interest rates, a shift in the... View Details
- November–December 2023
- Article
Iterative Coordination and Innovation: Prioritizing Value over Novelty
By: Sourobh Ghosh and Andy Wu
An innovating organization faces the challenge of how to prioritize distinct goals of novelty and value, both of which underlie innovation. Popular practitioner frameworks like Agile management suggest that organizations can adopt an iterative approach of frequent... View Details
- November 2023
- Article
Psychological Factors Underlying Attitudes toward AI Tools
By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
- 2023
- Working Paper
Deglobalization and Entrepreneurial Investment: The Natural Experiment of Brexit
By: Elisa Alvarez-Garrido and Juan Alcácer
We seek to gain insight into the consequences of deglobalization on entrepreneurial investment by
analyzing an instance of economic disintegration: the United Kingdom’s exit from the European Union.
Brexit is not only a unique empirical opportunity, a natural... View Details
- 2025
- Working Paper
The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling
By: Caleb Kwon, Antonio Moreno and Ananth Raman
Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
- 2023
- Working Paper
Trusting Talent: Cross-Country Differences in Hiring
By: Letian Zhang and Shinan Wang
This article argues that a society’s social trust influences employers’ hiring strategies. In selecting workers, employers could either focus on applicants’ potential and select on foundational skills (e.g., social skills, math skills) or focus on their readiness and... View Details
- September 2023
- Article
A Pull versus Push Framework for Reputation
Reputation is a powerful driver of human behavior. Reputation systems incentivize 'actors' to take reputation-enhancing actions, and 'evaluators' to reward actors with positive reputations by preferentially cooperating with them. This article proposes a reputation... View Details
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
- August 2023
- Article
Can Security Design Foster Household Risk-Taking?
By: Laurent Calvet, Claire Célérier, Paolo Sodini and Boris Vallée
This paper shows that securities with a non-linear payoff design can foster household risk-taking. We demonstrate this effect empirically by exploiting the introduction of capital guarantee products in Sweden from 2002 to 2007. The fast and broad adoption of these... View Details
- 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
- 2023
- Book
Precarious Ties: Business and the State in Authoritarian Asia
By: Meg Rithmire
Developing Asia has been the site of some of the last century's fastest growing economies as well as some of the world's most durable authoritarian regimes. Many accounts of rapid growth alongside monopolies on political power have focused on crony relationships... View Details
- 2023
- Working Paper
The Effects of Inconsistent Work Schedules on Employee Lateness and Absenteeism
By: Caleb Kwon and Ananth Raman
Problem Definition: Employee lateness and absenteeism pose challenges for businesses, particularly in the retail industry, where punctuality is vital for optimal store operations and customer service. This paper relates employee lateness and absenteeism with... View Details
- August 29, 2023
- Article
The Fragility of Artists’ Reputations from 1795 to 2020
By: Letian Zhang, Mitali Banerjee, Shinan Wang and Zhuoqiao Hong
This study explores the longevity of artistic reputation. We empirically examine whether artists are more- or less-venerated after their death. We construct a massive historical corpus spanning 1795 to 2020 and build separate word-embedding models for each five-year... View Details
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
- 2023
- Working Paper
The Complexity of Economic Decisions
By: Xavier Gabaix and Thomas Graeber
We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details