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Sampling-Based vs. Design-Based Uncertainty in Regression Analysis
Previously titled: Finite Population Causal Standard Errors
Consider a researcher estimating the parameters of a regression function based on data for all 50 states in the United States or on data for all visits to a website. What…
The Cross-Section and Time-Series of Stock and Bond Returns
We show that bond factors, which predict future U.S. economic activity at business cycle horizons, are priced in the cross-section of U.S. stock returns. High book-to-market stocks have larger exposures to these bond factors than low book-to-…
The Digital Privacy Paradox: Small Money, Small Costs, Small Talk
‘Notice and Choice’ has been a mainstay of policies designed to safeguard consumer privacy. This paper investigates distortions in consumer behavior when faced with notice and choice which may limit the ability of consumers to safeguard their…
The Effects of Class Size in Online College Courses: Experimental Evidence
Class size is a first-order consideration in the study of education cost and effectiveness. Yet little is known about the effects of class size on student outcomes in online college classes, even though online courses have become commonplace in…
The Social Structure of Political Echo Chambers: Variation in Ideological Homophily in Online Networks
We predict that people with different political orientations will exhibit systematically different levels of political homophily, the tendency to associate with others similar to oneself in political ideology. Research on personality differences…
The Voice of the Patient Methodology: A Novel Mixed-Methods Approach to Identifying Treatment Goals for Men with Prostate Cancer
Many guidelines advocate the use of shared decision making for men with newly diagnosed prostate cancer. Decision aids can facilitate the process of shared decision making. Implicit in this approach is the idea that physicians understand which…
Which Boundaries? How Mobility Networks Across Countries and Status Groups Affect the Creative Performance of Organizations
Losing key employees to competitors allows an organization to engage in external boundary‐spanning activities. It may benefit the organization through access to external knowledge, but may also increase the risks of leaking knowledge to…
Natural Disasters and Political Engagement: Evidence from the 2010–11 Pakistani Floods
How natural disasters affect politics in developing countries is an important question, given the fragility of fledgling democratic institutions in some of these countries as well as likely increased exposure to natural disasters over time due to…
Relating Product Prices to Long-Run Marginal Cost: Evidence from Solar Photovoltaic Modules
A basic tenet of microeconomics is that for a competitive industry in equilibrium the market price of a product will be equal to its marginal cost. This paper develops a model framework and a corresponding empirical inference procedure for…
Design of Macro-Prudential Stress Tests
We study the design of macro-prudential stress tests and capital requirements. The tests provide information about correlation in banks portfolios. The regulator chooses contingent capital requirements that create a liquidity buffer in case of a…
Retired or Fired: How Can Investors Tell If a CEO Was Pressured to Leave?
CEO succession at many companies occurs in a black box. Shareholders are not privy to boardroom discussions prior to the announcement of a CEO departure, and press releases announcing the change contain boilerplate language that does not make it…
Complex Asset Markets
We develop a dynamic equilibrium model of complex asset markets with endogenous entry and exit in which the investment technology of investors with more expertise is subject to less asset-specific risk. The joint equilibrium distribution of…
Is Google Search Behavior Related to Volatility? Incorporating Google Trends Data into a GARCH Model for Equity Volatility Authors
Intuitively, one would expect that internet search volume would contain valuable information about investor sentiment for a company. With the development of new data sources, such as Google Trends, this relationship can be more easily and…
Research: Political Polarization Is Changing How Americans Work and Shop
After the bruising and contentious 2016 U.S. presidential election, it’s not surprising that Americans’ evaluations of members of the opposite political party have reached an all-time low. According to data from the Pew Research…
Robo-Journalism and Capital Markets
In 2014, the Associated Press (AP) began using algorithms to write media articles about firms’ earnings announcements. These “robo-journalism” articles synthesize information from firms’ press releases, analyst reports, and stock performance, and…
Repatriation Taxes and Foreign Cash Holdings: The Impact of Anticipated Tax Reform
We examine whether anticipation of a repatriation tax reduction affects the amount of cash U.S. multinational corporations (MNCs) hold overseas. We find that U.S. MNCs most likely to benefit from a repatriation tax reduction accumulated…
Taking Aim: Corporate Opportunity Structures and Activists’ Selection of Corporate Targets
Scholars agree that the tenor of a firms’ past interactions with contentious activists - which represent a strong signal of the openness of a firm’s opportunity structures - impacts the likelihood that the firm will be targeted in the future.…
Why Some Digital Companies Should Delay Profitability for as Long as They Can
When most of the great companies of the industrial era were founded, even the most brilliant economists believed deeply in the law of diminishing marginal returns. At its core, the principle means that the more of something that is made, the less…
Mistreated: Why We Think We’re Getting Good Health Care and Why We’re Usually Wrong
The biggest problem in American health care is us.
Do you know how to tell good health care from bad health care? Guess again. As patients, we wrongly assume the “best” care is dependent mainly on the newest medications, the most…
Behavioral Processes in Long-Lag Intervention Studies
We argue that psychologists who conduct experiments with long lags between the manipulation and the outcome measure should pay more attention to behavioral processes that intervene between the manipulation and the outcome measure. Neglect of such…