We study the redistributive effects of inflation combining administrative bank data with an information provision experiment during an episode of historic inflation. On average, households are well-informed about prevailing inflation and are concerned about its impact on their wealth; yet, while...

This paper examines how homeownership status shapes attention to inflation and its impact on durable consumption. Using randomized controlled trials on U.S. households (2021-2023), we document systematic heterogeneity in responses to inflation-related information. Homeowners exhibit greater...

Central banks are increasingly reaching out to the general public to motivate and explain their monetary policy actions. One major aim of this outreach is to guide inflation expectations; another is to ensure accountability and create trust. This article surveys a rapidly-growing literature on...

Income is simultaneously one of the most important variables used by economists and the variable most likely to be missing due to item non-response. While observations that are missing income responses are often dropped from analyses, such treatment is usually inappropriate. More appropriate...

The United Nations Human Development Index (HDI) is arguably the most widely used alternative to gross domestic product for measuring national development. This is in large part due to its multidimensional nature, as it incorporates not only income, but also education and health. However, the...

Are speculators driving up oil prices? Should we raise energy prices to slow global warming? The present study takes a small number of such questions and compares the views of economic experts with those of the public. This comparison uses a panel of more than 2000 respondents from YouGov with...

We study the distribution of political speech across U.S. firms. We develop a measure of political engagement based on firms' communications (earnings calls, regulatory filings, and social media), by training a large language model to identify statements that contain political opinions. Using...

Primary historical sources are often by-passed for secondary sources due to high human costs of accessing and extracting primary information-especially in lower-resource settings. We propose a supervised machine-learning approach to the natural language processing of Chinese historical data. An...

As central banks, including the European Central Bank (ECB), adopt climate-related responsibilities, gauging public support becomes essential. Drawing on a June 2023 Bundesbank household survey, we find that 69% of households report increased trust in the ECB due to its climate actions, valuing...

Amid growing interest in industrial policy, we develop a model exploring the tension between market-driven information discovery and policymakers' career incentives. While market-based information discovery can help address informational barriers faced by policymakers, career incentives may lead...