G.D.P. Is a Flawed Measure of Prosperity. Alternatives Are On the Way.
The United Nations has a new plan for weighing economic gains alongside health and environmental progress. But consensus is elusive.
Statistical Notice 2026/04 - BEEDS User Acceptance Testing (UAT) Environment – Statistical Taxonomy v1.3.1 FINAL
Statistical Notices update the definitions and guidance contained in the Banking Statistics Yellow Folder
Your bank’s AI just blocked your payment – what can you do?
AI can detect financial fraud more efficiently than previous technology did, but it also flags legitimate transactions that it shouldn't. CardMapr.nl on Unsplash, CC BYImagine you’re at the supermarket checkout. Your cart is full. The line behind you is long. You tap your card. Declined.
You try again. Declined.
Shutting down federal bee labs threatens bees, beekeepers and the US food system
America’s bees and beekeepers are losing a valuable ally just when they need its help most.
Hedge funds are AImaxxing
Software is out, semis are in
ECB says private-credit fuelled AI boom poses risk to financial system
Central bank warns that investors could be exposed to losses if the technology does not meet its potential
Deregulation hands top US and UK banks $1.3tn
Regulatory loosening allows countries’ banks to expand balance sheets while EU and Swiss rivals are constrained
Sequential solution for DSGE models with deep neural networks
This paper develops a sequential deep learning algorithm for solving dynamic stochastic general equilibrium (DSGE) models. The algorithm trains a deep neural network to approximate the model’s policy functions across four progressive phases: steady-state anchoring, exploration around the steady state, simulation on the ergodic set, and Monte Carlo integration of stochastic expectations.
Sequential solution for DSGE models with deep neural networks
This paper develops a sequential deep learning algorithm for solving dynamic stochastic general equilibrium (DSGE) models. The algorithm trains a deep neural network to approximate the model’s policy functions across four progressive phases: steady-state anchoring, exploration around the steady state, simulation on the ergodic set, and Monte Carlo integration of stochastic expectations.
Employment effects of EU-ETS prices
This paper studies the employment effects of carbon pricing under the European Union’s Emissions Trading System (EU-ETS). I refer to standard methods from the literature to define and measure the environmental properties of jobs along two dimensions: how “green” a job is, and how polluting it is. I then leverage a series of shocks to EU-ETS prices to estimate their dynamic impacts on employment. The panel local projections estimates reveal that an exogenous 1% increase in EU-ETS prices leads to a roughly 0.2% decline in employment after one and a half years.
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