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- 2025
- Working Paper
Blockchain-Induced Supply Chain Transparency and Firm Performance: The Role of Capacity Utilization
By: ShinWoo Lee Lee, Jedson Pinto, Daniel Rabetti and Gil Sadka
This study empirically investigates how blockchain adoption affects firm profitability. Employing a quasi-experimental design triggered by regulatory changes across the United States, we provide novel empirical evidence to recent theory, proposing that blockchain... View Details
- 2025
- Working Paper
Is Love Blind? AI-Powered Trading with Emotional Dividends
By: Valeria Fedyk, Daniel Rabetti and Stella Kong
We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
Keywords: AI and Machine Learning
- 2025
- Working Paper
Blockchain Adoption and Audit Quality
By: Mei Luo, Daniel Rabetti and Shuangchen Yu
This study examines the impact of blockchain adoption in the corporate setting. Specifically, we provide comprehensive empirical support to recent theory (Cao, Cong, and Young, 2024) proposing that blockchain adoption positively affects endogenous audit quality and... View Details
- January 24, 2025
- Article
Behaviorally Designed Training Leads to More Diverse Hiring
By: Cansin Arslan, Edward H. Chang, Siri Chilazi, Iris Bohnet and Oliver P. Hauser
Many organizations have shown interest in increasing the diversity of their workforces for various reasons. Collectively, they have spent millions of dollars and countless employee hours on diversity training. Yet, there is little empirical evidence that such training... View Details
- 2024
- Article
Psychological Safety as an Enduring Resource amid Constraints
By: Hassina Bahadurzada, Amy C. Edmondson and Michaela J. Kerrissey
While psychological safety is recognized as valuable in healthcare, its relationship to resource constraints is not well understood. We investigate whether psychological safety mitigates the negative impact of resource constraints on employees. Leveraging longitudinal... View Details
- November 2024
- Article
On the Representativeness of Voter Turnout
By: Louis Kaplow and Scott Duke Kominers
Prominent theory research on voting analyzes a variety of models in which expected pivotality drives voters' turnout decisions and hence determines voting outcomes. It is recognized, however, that such work is at odds with Downs's paradox: in practice, many... View Details
- November 2024
- Article
Perceptions About Monetary Policy
By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
- 2024
- Article
Political Polarization and Finance
By: Elisabeth Kempf and Margarita Tsoutsoura
We review an empirical literature that studies how political polarization affects financial decisions. We first discuss the degree of partisan segregation in finance and corporate America, the mechanisms through which partisanship may influence financial decisions, and... View Details
- November 5, 2024
- Article
The International Empirics of Management
By: Daniela Scur, Scott Ohlmacher, John Van Reenen, Morten Bennedsen, Nick Bloom, Ali Choudhary, Lucia Foster, Jesse Groenewegen, Arti Grover, Sjoerd Hardeman, Leonardo Iacovone, Ryo Kambayashi, Marie-Christine Laible, Renata Lemos, Hongbin Li, Andrea Linarello, Mika Maliranta, Denis Medvedev, Charlotte Meng, John Miles Touya, Natalia Mandirola, Roope Ohlsbom, Atsushi Ohyama, Megha Patnaik, Mariana Pereira-López, Raffaella Sadun, Tatsuro Senga, Franklin Qian and Florian Zimmermann
A country’s national income broadly depends on the quantity and quality of workers and capital. But how well these factors are managed within and between firms may be a key determinant of a country’s productivity and its GDP. Although social scientists have long... View Details
- October 2024 (Revised January 2025)
- Case
Citizens of the World: The International Legacy of Gloria von Thurn und Taxis
By: Lauren Cohen, Maximilian Form and Sophia Pan
When her husband passed away and inheritance taxes struck, Princess Gloria von Thurn und Taxis took decisive action to preserve her family’s fortune and legacy. The Thurn und Taxis family, one of Europe’s oldest aristocratic dynasties, had built their wealth through... View Details
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can... View Details
- 2024
- Working Paper
Creditor-on-Creditor Violence and Secured Debt Dynamics
By: Samuel Antill, Neng Wang and Zhaoli Jiang
Secured lenders have recently demanded a new condition in distressed debt restructurings: competing secured lenders must lose priority. We model the implications of this “creditor-on-creditor violence” trend. In our dynamic model, secured lenders enjoy higher priority... View Details
- 2024
- Article
Crucibles, Multiple Sensitive Periods, and Career Progression
By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
- 2024
- Working Paper
Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous
By: Nathan Dhaliwal, Jillian J. Jordan and Pat Barclay
What do people think of victims who conceal their victimhood? We propose that the decision to not broadcast that one has been victimized serves as a costly act of modesty—in doing so, one is potentially forgoing social support and compensation from one’s community. We... View Details
- 2024
- Working Paper
The Rise of Alternatives
By: Juliane Begenau, Pauline Liang and Emil Siriwardane
Since the 2000s, U.S. public pensions have shifted their risky investments towards alternative assets like private equity and hedge funds, some more aggressively than others. We explore several explanations for these cross-sectional trends, focusing on those implied by... View Details
- 2024
- Working Paper
Digital Platforms 2.0: Learnings, Opportunities, and Challenges
By: Shrabastee Banerjee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang and Bobby Zhou
Platform-based digital ecosystems form the backbone of our interactions with the Internet. Over the past decade, digital ecosystems have witnessed significant growth, both in terms of industry footprint and academic research. Yet, the challenges associated with their... View Details
- 2024
- Working Paper
What Makes Players Pay? An Empirical Investigation of In-Game Lotteries
By: Tomomichi Amano and Andrey Simonov
In 2020, gamers spent more than $15 billion on loot boxes, lotteries of virtual items in video
games. Paid loot boxes are contentious. Game producers argue that loot boxes complement
the gameplay and expenditures on loot boxes reflect players’ enjoyment of the game.... View Details
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
- 2024
- Working Paper
Investor Influence on Media Coverage: Evidence from Venture Capital-Backed Startups
By: Brian K. Baik and Albert Shin
We examine the role of investors on the media coverage of their private firm investments. Specifically, we survey VC investors and find that 78% of the respondents take active steps to increase their portfolio companies’ media coverage. The survey results also... View Details