Sen. Bernie Sanders frequently raises concerns about what artificial intelligence could do to American jobs. Heather Diehl/Getty ImagesCreating a government fund to own AI stock and benefit all Americans would require many hard choices.
AnnaStills/Shutterstock.comMoney worries can keep us up at night, but could decades of financial stress leave a lasting mark on the brain itself? That’s the question my colleagues and I set out to answer in a new study – and the answer, it turns out, is yes.
Greece has come a long way since the dark days of 2015, but has it fully recovered? In this episode of The Agora, Nick Malkoutzis speaks with Peter Sanfey and Dimitris Sourvanos, authors of the new Hellenic Observatory paper Out of the Abyss, to unpack Greece’s decade‑long journey from crisis to stability.
The Bank of England’s Monetary Policy Committee is responsible for making decisions about Bank Rate.
Greece’s Producer Price Index (PPI) decelerated in June to 8.8 percent year-on-year (YoY), after a rise of 13.5 percent in the previous month, ELSTAT data showed on Thursday.
Greece’s economic sentiment (ESI) slightly moderated in July, with the index at 107.6 points, from 108.2 in the previous month, according to European Commission figures released on Thursday.
Three firefighters died on Wednesday battling wildfires in Crete and the southern Peloponnese, casting a shadow over the government's last cabinet meeting before the summer recess.
The question of how oil supply news shocks transmit to real activity, financial conditions, and regional labor markets is back at the center of the macroeconomic research agenda. To answer this question, we introduce the Factor Bayesian Additive Regression Tree (FABART) model, a nonlinear factor-augmented vector autoregression model, and apply it to a large U.S. macro-financial dataset with externally identified oil supply news shocks.
We develop a new approach to estimating earnings, job, and employment dynamics using subjective expectations data from the NY Fed Survey of Consumer Expectations. These data provide beliefs about future earnings offers and acceptance probabilities, offering direct information on counterfactual outcomes and enabling identification under weaker assumptions. Our framework avoids biases from selection and unobserved heterogeneity that affect models using realized outcomes.
We develop a new approach to estimating earnings, job, and employment dynamics using subjective expectations data from the NY Fed Survey of Consumer Expectations. These data provide beliefs about future earnings offers and acceptance probabilities, offering direct information on counterfactual outcomes and enabling identification under weaker assumptions. Our framework avoids biases from selection and unobserved heterogeneity that affect models using realized outcomes.
