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Jel Classification:G41 

Working Paper
Mispricing Narratives after Social Unrest

We study how negative sentiment around an industry impacts beliefs and behaviors, focusing on demands for racial justice after the murder of George Floyd and the salience of the “defund the police” movement. We assess stakeholder beliefs on the impact of protests on the stock prices of police-affiliated firms. In our survey experiment, laypeople and finance professionals predicted more negative stock price outcomes when they lacked details on the products supplied by such firms. Exposure to narratives about the context of the protests further reduced the prediction accuracy of these ...
Opportunity and Inclusive Growth Institute Working Papers , Paper 096

Report
The Financial Consequences of Undiagnosed Memory Disorders

We examine the effect of undiagnosed memory disorders on credit outcomes using nationally representative credit reporting data merged with Medicare data. Years prior to eventual diagnosis, average credit scores begin to weaken and payment delinquency begins to increase, overall and for mortgage and credit card accounts specifically. Credit outcomes consistently deteriorate over the quarters leading up to diagnosis. The harmful financial effects of undiagnosed memory disorders exacerbate the already substantial financial pressure households face upon diagnosis of a memory disorder. Our ...
Staff Reports , Paper 1106

Working Paper
Are Real Assets Owners Less Averse to Inflation? Evidence from Consumer Sentiments and Inflation Expectations

Using data from the University of Michigan Surveys of Consumers, we document a significant negative association between consumer sentiment and inflation expectations, controlling for prevailing inflation in the economy. We further show that consumer sentiments of homeowners and stockowners are more sensitive to expected inflation than those of other consumers, a disparity at odds with the notion that owning such assets provides hedges against inflation. Leveraging data from the Survey of Consumer Expectations, we find three factors that help account for this difference. First, assets owners' ...
Finance and Economics Discussion Series , Paper 2023-058

Working Paper
Your Friends, Your Credit: Social Capital Measures Derived from Social Media and the Credit Market

Chetty et al. (2022a) introduced an array of social capital measures derived from Facebook friendships and found that one of these indicators, economic connectedness (EC), predicted upward income mobility well. Bricker and Li (2017) proposed the average credit score of a community's residents as an indicator of local social trust. We show in this paper that the average credit scores are robustly correlated with EC, negatively correlated with the friending-bias measure introduced in Chetty et al. (2022b), and predict economic mobility to a comparable extent after controlling for EC. The ...
Finance and Economics Discussion Series , Paper 2023-048

Working Paper
Which Types of Unbanked Households Are More (or Less) Likely to Open a Bank Account?

Using multi-year survey data, we conduct a regression model analysis to examine which types of unbanked households are more likely to open a bank account and which types are less likely. We proxy for households’ likelihood of opening a bank account using their prior banking status and interest in having a bank account. Unbanked households who previously had a bank account and are interested in having a bank account are more likely to open an account. These households tend to be more educated, to be native-born, to use alternative financial services, and to have access to digital technology. ...
Research Working Paper , Paper RWP 23-08

Working Paper
It's Not Who You Know—It's Who Knows You: Employee Social Capital and Firm Performance

We show that the social capital embedded in employees' networks contributes to firm performance. Using novel, individual-level network data, we measure a firm's social capital derived from employees' connections with external stakeholders. Our directed network data allow for differentiating those connections that know the employee and those that the employee knows. Results show that firms with more employee social capital perform better; the positive effect stems primarily from employees being known by others. We provide causal evidence exploiting the enactment of a government regulation that ...
Finance and Economics Discussion Series , Paper 2023-020

Working Paper
Improving the 30-Year Fixed-Rate Mortgage

The 30-year fixed-rate fully amortizing mortgage (or "traditional fixed-rate mortgage") was a substantial innovation when first developed during the Great Depression. However, it has three major flaws. First, because homeowner equity accumulates slowly during the first decade, homeowners are essentially renting their homes from lenders. With so little equity accumulation, many lenders require large down payments. Second, in each monthly mortgage payment, homeowners substantially compensate capital markets investors for the ability to prepay. The homeowner might have better uses for this ...
Finance and Economics Discussion Series , Paper 2017-090

Working Paper
Macroeconomic Expectations and Cognitive Noise

This paper examines forecast biases through cognitive noise, moving beyond the conventional view that frictions emerge solely from using external data. By extending Sims’s (2003) imperfect attention model to include imperfect memory, I propose a framework where cognitive constraints impact both external and internal information use. This innovation reveals horizon-dependent forecast sensitivity: short-term forecasts adjust sluggishly while long-term forecasts may overreact. I explore the macroeconomic impact of this behavior, showing how long-term expectations, heavily influenced by current ...
Working Paper Series , Paper 2024-19

Working Paper
The Impact of Labels on Real Asset Valuations

Expectations and sentiment of economic agents about financial prospects are both the drivers and the leading indicators of economic phenomena. This paper shows that neighborhood labels, frequently used in realtors’ property descriptions, have a causal impact on the demand for housing. Results indicate that appraised values, house prices and rents increased in minority neighborhoods upon removal of neighborhood labels. The underlying mechanism likely works through forming expectations about future growth in housing markets, as documented by the decrease in the rent-to-price ratio and lack of ...
Working Papers , Paper 2504

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