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Regulation of Charlatans in High-Skill Professions
We model a market for a skill in short supply and high demand, where the presence of charlatans (professionals who sell a service they do not deliver on) is an equilibrium outcome. In the model, reducing the number of charlatans through…
Polarization and State Legislative Elections
U.S. state legislatures are critical policymaking bodies and the major pipeline of candidates to national office. Polarization in state legislatures has increased substantially in recent decades, yet we understand little about the role of…
Evaluating a Patient Safety Learning Lab to Create an Interdisciplinary Ecosystem for Healthcare Innovation
In response to the complexity, challenges, and slow pace of innovation, health care organizations are adopting interdisciplinary team approaches. Systems engineering, which is oriented to creating new, scalable processes that perform with higher…
How Does Private Firm Disclosure Affect Demand for Public Firm Equity? Evidence from the Global Equity Market
Conditionally accepted at the Journal of Accounting and Economics.
We investigate the relationship between private firms’ disclosures and the demand for the equity of their publicly traded peers. Using data on the global…
Do Jobseekers Value Diversity Information? Evidence from a Field Experiment
We examine how information about the diversity of a potential employer’s workforce affects individuals’ job-seeking behavior, and whether workers’ preferences explain corporate disclosure decisions. We embed a field experiment in job…
Pandemic Spikes and Broken Spears: Indigenous Resilience after the Conquest of Mexico
It is well-established that the Conquest of the Americas by Europeans led to catastrophic declines in indigenous populations. However, less is known about the conditions under which indigenous communities were able to overcome the onslaught of…
Proactive Capital Structure Adjustments: Evidence from Corporate Filings
We use new hand-collected data from corporate filings to study the drivers of corporate capital structure adjustment. Classifying firms by their adjustment frequencies, we reveal previously unknown patterns in their reasons for financing and the…
Stable Learning Establishes Some Common Ground between Causal Inference and Machine Learning
Causal inference has recently attracted substantial attention in the machine learning and artificial intelligence community. It is usually positioned as a distinct strand of research that can broaden the scope of machine learning from predictive…
The Corporate Explorer
Corporations have the upper hand over the startups that threaten to disrupt them. They have the ideas, resources, and — critically — the talent to build new ventures from within. Smart companies — like Amazon, Microsoft, Bosch, and Analog…
What Determines Where Opportunity Knocks? Political Affiliation in the Selection of Opportunity Zones
We examine the role of political affiliation during the selection of Opportunity Zones, a place-based tax incentive enacted by the Tax Cuts and Jobs Act of 2017. We find governors are on average 7.6% more likely to select a census tract as an…
Estimating and Simulating a SIRD Model of COVID-19 for Many Countries, States, and Cities
We use data on deaths in New York City, Madrid, Stockholm, and other world cities as well as in various U.S. states and other regions and countries to estimate, quickly and with limited data, a standard epidemiological model of COVID-19. We allow…
National Identity Predicts Public Health Support during a Global Pandemic
Understanding collective behavior is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in…
When Danger Strikes: A Linguistic Tool for Tracking America’s Collective Response to Threats
In today’s vast digital landscape, people are constantly exposed to threatening language, which attracts attention and activates the human brain’s fear circuitry. However, to date, we have lacked the tools needed to identify threatening language…
The Social Divide of Social Distancing: Lockdowns in Santiago, Chile During the Covid-19 Pandemic
Voluntary shelter-in-place directives and lockdowns are the main non-pharmaceutical interventions that governments around the globe have used to contain the Covid-19 pandemic. In this paper we study the impact of such interventions in the capital…
Making Numbers Count: The Art and Science of Communicating Numbers
A clear, practical, first-of-its-kind guide to communicating and understanding numbers and data — from bestselling business author Chip Heath.
How much bigger is a billion than a million?
Well, a million seconds is twelve days. A…
Patients’ Perceptions of Integrated Care Among Medicare Beneficiaries by Level of Need for Health Services
Requirements for integrating care across providers, settings, and over time increase with patients’ needs. Health care providers’ ability to offer care that patients experience as integrated may vary among patients with different levels of need.…
2021 State of Latino Entrepreneurship
This is the seventh annual State of Latino Entrepreneurship report in which we have collected robust survey data from Latino-owned businesses across the country to provide a timely account of the fastest growing segment of the U.S. business…
Active Funds and Bundled News
We use trade-level data to examine the role of actively managed funds (AMFs) in earnings news
dissemination. We find that AMFs are drawn to, and participate disproportionately more in, earnings announcements (EAs) that include bundled…
A Comment on: “Goals and Gaps: Educational Careers of Immigrant Children” by Michela Carlana, Eliana La Ferrara, Paolo Pinotti
Not available
Consumer-Lending Discrimination in the Fintech Era
U.S. fair-lending law prohibits lenders from making credit determinations that disparately affect minority borrowers if those determinations are based on characteristics unrelated to creditworthiness. Using an identification under this rule, we…