Publications

Objective: To understand the consequences of employee volunteering and possible psychological mechanisms that produce these effects.

Methods: Using data from more than 50,000 responses to Britain’s…

We examine gender differences in misconduct punishment in the financial advisory industry. There is a “gender punishment gap”: following an incident of misconduct, female advisers are 20% more likely to lose their jobs and 30% less likely to find…

We study three centuries of UK fiscal history. Before World War I, when the UK dominated global bond markets, the UK’s government debt was not always fully backed by its future surpluses. As predicted by theories of safe asset determination,…

When individuals receive benefits from government programs, does it affect their attitudes toward those programs or toward government generally? A growing literature blends policy feedback theory and political behavior research to explore these…

People vary on their desire for strict norms, and the moral underpinnings of these differences have yet to be explored. The current research examined whether and how moral beliefs held by individuals would affect the extent to which they want…

We examine CEO turnover and succession planning using a unique and highly comprehensive data set from the company exechange. Exechange applies a novel methodology that evaluates the circumstances surrounding a CEO departure to determine the…

Mobilizing anchor institutions to promote community health and wellbeing is gaining prominence as an approach to systems change. Anchors are often conceptualized as large, locally rooted, nonprofits that leverage their resources for local benefit…

This paper shows that stable net-interest margins of banks are uninformative about banks’ interest rate exposure. We show that neither deposits nor market power are essential for achieving stable net-interest margins (NIM) in long-short fixed…

The United States spends twice as much per person on pharmaceuticals as European countries, in large part because prices are much higher in the US. This fact has led policymakers to consider legislation for price controls. This paper assesses the…

Polarization is both a description of the current state of politics and a dynamic path that has rippled across the political domain over decades. We provide a simple model that explains why polarization appears incrementally and why it was elites…

Deep-learning methods can extract high-dimensional feature vectors for objects, concepts, images, and texts from large-scale digital data sets. These vectors are proxies for the mental representations that people use in everyday cognition and…

Flow is a subjective state characterized by immersion and engagement in one’s current activity. The benefits of flow for productivity and health are well-documented, but a rigorous description of the flow-generating process remains elusive. Here…

Existing survival analysis techniques heavily rely on strong modelling assumptions and are, therefore, prone to model misspecification errors. In this paper, we develop an inferential method based on ideas from conformal prediction, which can…

Do financial resources relate to how important meaning is for one’s happiness? Across three large-scale datasets spanning over 500,000 individuals across 123 countries, we examined the relationship between meaning and happiness for individuals…

Our study addresses whether integrated report quality, IRQ, is negatively associated with stock price synchronicity, an inverse measure of firm-specific information, and the extent to which the relation between IRQ and synchronicity is attenuated…

Two-sided marketplace platforms often run experiments (or A/B tests) to test the effect of an intervention before launching it platform-wide. A typical approach is to randomize users into a treatment group, which receives the intervention, and a…

We empirically characterize how China is internationalizing the Renminbi by selectively opening up its domestic bond market and propose a dynamic reputation model to explain China’s internationalization strategy. While previously closed to…

Despite the complexity of memory and its diverse manifestations in our daily lives, certain mnemonic effects appear to hold across a wide range of conditions. We identify the effects of recency, contiguity, similarity, primacy, and repetition as…

We introduce a framework for calibrating machine learning models so that their predictions satisfy explicit, finite-sample statistical guarantees. Our calibration algorithm works with any underlying model and (unknown) data-generating…

This empirical white paper is part of a broader research project on the explainability and fairness of machine learning in credit underwriting. The research is being conducted in collaboration with Professors Laura Blattner and Jann Spiess at the…