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  • 2022
  • Working Paper

Shared Models in Networks, Organizations, and Groups
By: Joshua Schwartzstein and Adi Sunderam
Why did the market rise yesterday? What are the implications of the latest school shooting? Why did a particular employee get promoted? To answer such questions, we often exchange models, stories, narratives, and interpretations with others. This paper provides a...  View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
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  • 2022
  • Working Paper

What Would It Mean for a Machine to Have a Self?
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and Tomer Ullman
What would it mean for autonomous AI agents to have a ‘self’? One proposal for a minimal notion of self is a representation of one’s body spatio-temporally located in the world, with a tag of that representation as the agent taking actions in the world. This turns...  View Details
Keywords: Self; AI; Games; Reinforcement Learning; Avatar; AI and Machine Learning
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  • 2022
  • Working Paper

Overreaction and Diagnostic Expectations in Macroeconomics
By: Pedro Bordalo, Nicola Gennaioli and Andrei Shleifer
We present the case for the centrality of overreaction in expectations for addressing important challenges in finance and macroeconomics. First, non-rational expectations by market participants can be measured and modeled in ways that address some of the key challenges...  View Details
Keywords: Overreaction; Rational Expectations; Macroeconomics; Market Participation; Social Psychology
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  • Article

Present Bias Causes and Then Dissipates Auto-enrollment Savings Effects
By: John Beshears, James J. Choi, David Laibson and Peter Maxted
Present bias causes procrastination, which leads households to stick with auto-enrollment defaults. However, present bias also engenders overconsumption. Separation from each employer generates a rollover of 401(k) balances to an individual retirement account (IRA)...  View Details
Keywords: Present Bias; Procrastination; Personal Finance; Decision Making; Social Psychology; Retirement
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  • 2022
  • Working Paper

Heterogeneous Investors and Stock Market Fluctuations
By: Odhrain McCarthy and Sebastian Hillenbrand
We introduce a heterogeneous agent model which features extrapolative beliefs and time-varying risk aversion. The model leads to an empirical framework which we estimate with stock prices, survey data and risk aversion measures. We find that extrapolative beliefs and...  View Details
Keywords: Stock Market; Investment Decisions; Asset Pricing; Investment; Behavioral Finance; Stocks
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  • 2021
  • Article

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time...  View Details
Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
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  • 2021
  • Working Paper

Treatment and Selection Effects of Formal Workplace Mentorship Programs
By: Jason Sandvik, Richard Saouma, Nathan Seegert and Christopher Stanton
While formal mentorship programs are ubiquitous, less is known about who gains from receiving mentorship. In this paper, we report the outcome of a Randomized Controlled Trial (RCT) carried out in a US-based inbound sales call center where one branch of the experiment...  View Details
Keywords: Mentoring; Mentorship Programs; Randomized Controlled Trial; Employees; Relationships; Programs; Performance
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  • July 2021
  • Article

Redistribution through Markets
By: Piotr Dworczak, Scott Duke Kominers and Mohammad Akbarpour
Policymakers frequently use price regulations as a response to inequality in the markets they control. In this paper, we examine the optimal structure of such policies from the perspective of mechanism design. We study a buyer-seller market in which agents have private...  View Details
Keywords: Optimal Mechanism Design; Redistribution; Inequality; Welfare Theorems; Market Design; Equality and Inequality
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  • June 2021
  • Article

Making Marketplaces Safe: Dominant Individual Rationality and Applications to Market Design
By: Benjamin N. Roth and Ran I. Shorrer
Often market designers cannot force agents to join a marketplace rather than using pre-existing institutions. We propose a new desideratum for marketplace design that guarantees the safety of participation: Dominant Individual Rationality (DIR). A marketplace is DIR if...  View Details
Keywords: Dominant Individual Rationality; Market Design; Safety
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  • May–June 2021
  • Article

Savvy Self-Promotion: The Delicate Art and Science of Bragging
By: Leslie K. John
Everyone knows that success at work depends on being—and being seen as—both competent and likable. You need people to notice your growth and accomplishments while also enjoying your company. But if you draw attention to the value you’ve created, to ensure that managers...  View Details
Keywords: Self-promotion; Success; Behavior
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  • March 2021
  • Case

Chime Solutions
By: Shai Bernstein, William R. Kerr, Christopher Stanton and Mel Martin
Just two years after launching their 10k by 2020 initiative to hire 10,000 employees by 2020, the COVID-19 pandemic forced Chief Executive Officer Mark Wilson to send nearly all of his staff at Chime Solutions (Chime) to work from home. Chime was a customer contact...  View Details
Keywords: Finance; Working Capital; Operations; Recruitment; Performance; Change Management; Retention; Financial Institutions; Employee Relationship Management; Talent and Talent Management; Growth Management; Communications Industry; Service Industry; United States
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  • 2020
  • Working Paper

Institutional Corporate Bond Pricing
By: Ishita Sen, Lorenzo Bretscher, Lukas Schmid and Varun Sharma
We compile a rich dataset that links institutional investors' position level holdings with corporate bond characteristics and estimate demand elasticities with respect to critical sources of risk. Persistence in institutions' holdings provide us with an instrument to...  View Details
Keywords: Corporate Bonds; Demand Systems; Insurance Companies; Mutual Funds; Liquidity; Bonds; Insurance; Investment Funds; Financial Liquidity
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  • November 2020
  • Article

Taxation in Matching Markets
By: Arnaud Dupuy, Alfred Galichon, Sonia Jaffe and Scott Duke Kominers
We analyze the effects of taxation in two-sided matching markets, i.e., markets in which all agents have heterogeneous preferences over potential partners. In matching markets, taxes can generate inefficiency on the allocative margin by changing who is matched to whom,...  View Details
Keywords: Matching Markets; Labor Markets; Taxation; Labor; Markets
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  • October 2020
  • Article

Comparative Statics for Size-Dependent Discounts in Matching Markets
By: David Delacretaz, Scott Duke Kominers and Alexandru Nichifor
We prove a natural comparative static for many-to-many matching markets in which agents’ choice functions exhibit size-dependent discounts: reducing the extent to which some agent discounts additional partners leads to improved outcomes for the agents on the other side...  View Details
Keywords: Size-dependent Discounts; Path-independence; Respect For Improvements; Market Design; Mathematical Methods
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  • September 2020
  • Article

The Rise of the Investor State: State Capital in the Chinese Economy
By: Meg Rithmire and Hao Chen
The nature and extent of the role of the Chinese state in the economy is fundamental to many empirical and theoretical debates about that country’s political economy. We document and explain the rise of a novel form of intervention on the part of the Chinese state: the...  View Details
Keywords: China's Political Economy; State Shareholding; State-business Relations; State Capitalism; China's Financial System; Economy; Business and Government Relations; Finance; System; China
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  • Article

Cultural Diversity on Wall Street: Evidence from Consensus Earnings Forecasts
By: Kenneth Merkley, Roni Michaely and Joseph Pacelli
We examine how cultural differences among agents influence the aggregate outcome of a common forecasting task. Using both exogenous shocks to sell-side analyst diversity and panel regression methods, we find that increases in analyst cultural diversity positively...  View Details
Keywords: Culture; Forecasting; Sell-side Analysts; Information Aggregation; Diversity; Forecasting and Prediction; Information; Performance Improvement
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  • August 2020
  • Article

Lone Wolves in Competitive Equilibria
By: Ravi Jagadeesan, Scott Duke Kominers and Ross Rheingans-Yoo
This paper develops a class of equilibrium-independent predictions of competitive equilibrium with indivisibilities. Specifically, we prove an analogue of the “Lone Wolf Theorem” of classical matching theory, showing that when utility is perfectly transferable, any...  View Details
Keywords: Indivisibilities; Matching; Lone Wolf Theorem; Marketplace Matching; Theory
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  • Article

Active World Model Learning with Progress Curiosity
By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal...  View Details
Keywords: World Models; Mathematical Methods
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  • 2020
  • Conference Presentation

Learning in Social Environments with Curious Neural Agents
By: M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins
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  • 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
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