We use text analysis and a novel dataset to measure the sentiment component of central bank communications in 23 countries over the 2002-2017 period. Our analysis yields three key results. First, using directed networks, we show that comovement in sentiment across central banks is not reducible...

We study the incidence of pollution taxes and their impact on unemployment in an analytical general equilibrium efficiency wage model. We find closed-form solutions for the effect of a pollution tax on unemployment, factor prices, and output prices, and we identify and isolate different channels...

Many online platforms adopt the ad-sponsored business model, which involves offering free services to consumers while collecting their data and selling targeted advertising space to advertisers. However, collecting consumer data has raised growing privacy concerns, which may affect consumers’...

The proliferation of consumer data and advanced data analytics techniques (e.g., machine learning), has empowered firms to implement personalized pricing by learning individual consumer preferences. Behavioral research and anecdotal evidence suggest that consumers exhibit aversion to such a...

Existing studies that evaluate the impact of pollution on human beings understate its negative effect on cognition, mental health, and happiness. This paper attempts to fill in the gap via investigating the impact of air quality on subjective well-being using China as an example. By matching a...

We propose a novel empirical framework to assess the likelihood of joint and conditional failure for Euro area sovereigns. Our model is based on a dynamic skewed-t copula which captures all the salient features of the data, including skewed and heavy-tailed changes in the price of CDS protection...