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Economic Research

International Stock Markets’ Reactions to EU Climate Policy Shocks
While policies to combat climate change are generally implemented at the national level, the impact of domestic climate policies may spill over internationally, given countries' economic and financial interdependence. The authors quantify the spillover effects of climate policies on forward-looking asset prices globally by estimating the impact of EU climate policy shocks on stock prices across a broad set of country-industry pairs.
Julian di Giovanni, Galina Hale, Neel Lahiri, and Anirban Sanyal
What Do Climate Risk Indices Measure?
As interest in the economic impacts of climate change grows, several indices have been developed to quantify climate risks. Various approaches have been employed, utilizing firm-level emissions data, financial market data (from equity and derivatives markets), or textual data. Focusing on the latter approach, the authors conduct descriptive analyses of six text-based climate risk indices from published or well-cited papers, highlighting their differences and commonalities.
By Hyeyoon Jung and Oliver Hannaoui
Exposure to Generative AI and Expectations about Inequality
With the rise of generative AI (genAI), many worry about its potential displacement effects in the labor market and its implications for income inequality. In supplemental questions to the February 2024 Survey of Consumer Expectations, the authors asked a representative sample of U.S. residents about their experience with genAI tools. They find that relatively few people have used genAI, but those who have used it have a relatively bleak outlook on its impacts on jobs and future inequality.
By Natalia Emanuel and Emma Harrington
Are Nonbank Financial Institutions Systemic?
The authors provide a quantitative assessment of systemic risk stemming from nonbank financial sectors. Even though these sectors have heterogeneous business models, ranging from insurance to trading and asset management, they find that the systemic risk of these sectors has common variation, and this commonality has increased over time. Moreover, nonbank sectors tend to become more systemic when banking sector systemic risk increases.
By Andres Aradillas Fernandez, Martin Hiti, and Asani Sarkar
The Central Banking Beauty Contest
Expectations can play a significant role in driving economic outcomes, but how well do central banks understand the expectations of market participants—and vice versa? The authors develop a model that features a dynamic game between a monetary authority and a set of market participants. This game’s main novelty is that each side attempts, with varying degrees of accuracy, to forecast the other’s beliefs, resulting in new findings regarding the levels and trajectories of inflation.
By Gonzalo Cisternas and Aaron Kolb
Flood Risk Outside Flood Zones: A Look at Mortgage Lending in Risky Areas
In support of the National Flood Insurance Program, the Federal Emergency Management Agency creates flood maps that indicate areas with high flood risk, where mortgage applicants must buy flood insurance. However, these maps are discrete, whereas the underlying flood risk may be continuous, and they are sometimes outdated. The authors examine what types of lenders are aware of this “unmapped” flood risk and how they adjust their lending practices in those regions.
By Kristian Blickle, Evan Perry, and João A.C. Santos
RESEARCH TOPICS
A Jackknife Variance Estimator for Panel Regressions
Panel data models are often characterized by strong cross-sectional and time-series dependence. Typical applications, such as panels of states or countries, feature time series behavior which is, at least partially, driven by common components. The authors introduce a new jackknife variance estimator for panel-data regressions. They prove the asymptotic validity of their variance estimator and demonstrate desirable finite-sample properties in a series of simulation experiments.
Richard K. Crump, Nikolay Gospodinov, and Ignacio Lopez Gaffney, Staff Report 1133, October 2024
A Simple Diagnostic for Time-Series and Panel-Data Regressions
Time-series models are the main tool for evaluating the dynamic effects of macroeconomic shocks and policy actions. The authors introduce a new regression diagnostic that is tailored to the time-series setting and allows researchers to assess the robustness of any set of linear regression results. This diagnostic enables applied researchers to scrutinize regression results and probe for underlying fragility of the sample OLS estimate, and the authors demonstrate its utility using a variety of empirical applications.
Richard K. Crump, Nikolay Gospodinov, and Ignacio Lopez Gaffney, Staff Report 1132, October 2024
Financial Education and Household Financial Decisions During the Pandemic
COVID-19 presented economic challenges, but policy responses provided opportunities for savvy borrowers. The authors found that one driver of differences in their responses to these policies was exposure to financial education. Using variation in state-mandated financial education during high school, they find that mandated borrowers reduced their credit card balances by larger amounts after receiving stimulus checks and were more likely to buy homes and to refinance mortgages at low rates.
Donghoon Lee, Daniel Mangrum, Wilbert van der Klaauw, and Crystal Wang, Staff Report 1131, October 2024
Extend-and-Pretend in the U.S. CRE Market
Since the pandemic, commercial real estate (CRE) has experienced rapidly deteriorating property values. The authors document how banks have used an “extend-and-pretend” process to avoid writing off their capital: Banks with weaker marked-to-market capital have extended the maturity of their impaired CRE mortgages coming due and pretended that such credit provision was not as distressed to avoid further depleting their capital. Extend-and-pretend has crowded out new credit provision, leading to a drop in CRE mortgage origination since 2022.
Matteo Crosignani and Saketh Prazad, Staff Report 1130, October 2024
Demographic Differences in Letters of Recommendation for Economics Ph.D. Students
Letters of recommendation from faculty advisors play a critical role in the job market for Ph.D. economists. The authors analyze 6,400 letters of recommendation for more than 2,200 economics and finance Ph.D. graduates from 2018 to 2021. They introduce a new measure of letter quality and find that female, Asian, and Black or Hispanic candidates are all less likely to be recommended to top academic departments, even after controlling for other letter characteristics. They also find that early career outcomes are influenced by letter characteristics.
Beverly Hirtle and Anna Kovner, Staff Report 1129, October 2024
Wage Growth and Labor Market Tightness
The authors highlight the importance of two measures of labor market tightness in determining wage growth: the quits rate, and vacancies per effective searcher (V/ES)—where searchers include both employed and non-employed job seekers. Amongst a broad set of indicators of labor market tightness, they find that these two measures are independently the most strongly correlated with wage inflation and also predict wage growth well in out-of-sample forecasting exercises.
Sebastian Heise, Jeremy Pearce, and Jacob P. Weber, Staff Report 1128, October 2024
Climate-Related Financial Stability Risks for the United States: Methods and Applications
Policymakers are keenly interested in assessing the resilience of the financial system in relation to climate change, leading to a surge of academic research on policy options. The authors review the burgeoning literature on climate-related risks, focusing especially on existing methodologies that have been used to study U.S. climate-related financial stability risks. They suggest ways these methodologies could be combined to obtain a more complete understanding of climate risks and vulnerabilities.
Celso Brunetti, Matteo Crosignani, Benjamin Dennis, Gurubala Kotta, Donald P. Morgan, Chaehee Shin, and Ilknur Zer, Economic Policy Review 30, no. 1, October 2024.
Need for Speed: Quality of Innovations and the Allocation of Inventors
The slowdown in productivity growth has become a central academic and policy discussion. The authors study how the tradeoff between speed and quality in innovation interacts with firm dynamics, concentration, and economic growth. They develop an endogenous growth model that incorporates the speed-quality tradeoff and show that allocating less labor toward speed increases growth, particularly in the presence of private benefits to innovation and spillovers in innovation.
Santiago Caicedo and Jeremy Pearce, Staff Report 1127, October 2024
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