Income inequality is important, but attempts to measure it arrive at strikingly different conclusions. Why? We use recent disputes over measuring United States income inequality to return to first ...

We study the impact of the Covid-19 pandemic on Euro Area inflation and how it compares to the experiences of other countries, such as the United States, over the two-year period 2020-21. Our ...

Inflation dynamics have been difficult to explain over the last decade. This paper explores if a more comprehensive treatment of globalization can help. CPI inflation has become more synchronized ...

We develop a general policy analysis framework for an open economy that features nominal rigidities and financial frictions giving rise to endogenous PPP and UIP deviations. The efficient allocation ...

This paper examines partisanship in public perceptions of the Federal Reserve. In all years from 2001 through 2023, trust in the Federal Reserve was highest for respondents of the same party as the ...

We study the effects of social media political advertising by randomizing subsets of 36,906 Facebook users and 25,925 Instagram users to have political ads removed from their news feeds for six weeks ...

We highlight the role of duration and exchange rate risks on portfolio flows by using a unique and comprehensive database of US investor flows into emerging market government bonds denominated in ...

We find that an unanticipated tightening of US monetary policy tends to raise US import prices. This empirical “spill-back” pattern differs from the predictions of typical open-economy macro models.

Our primary empirical findings are that the age-friendliness of Korean jobs grew more slowly than in the US, and that older Koreans were not the main beneficiaries of these jobs. Both findings reflect ...

Furthermore, all these factors are associated with employee’s reported mental health. Stress and anxiety are particularly elevated for employees for whom work is important and who feel the employer ...

We construct a novel measure of partisan corporate speech using natural language processing techniques and use it to establish three stylized facts. First, the volume of partisan corporate speech has ...

We decode China’s industrial policies from 2000 to 2022 by employing large language models (LLMs) to extract and analyze rich information from a comprehensive dataset of 3 million documents issued by ...