Dario Caldara, Matteo Iacoviello, and David YuThis paper introduces a monthly shortage index spanning 1900 to the present, constructed from 25 million newspaper articles. The index captures shortages across industry, labor, food, and energy, and spikes during economic crises and wars. We validate the index and show that it provides information beyond traditional macroeconomic indicators.
Marco Migueis, Michael Suher, and Jessie XuWe test whether minimum account balances to avoid fees, maintenance fee amounts, and nonsufficient funds charges are systematically different in LMI and majority-minority communities relative to other communities and find that they are generally higher.
Elena Falcettoni and Vegard Mokleiv NygaardWe propose a new way to classify individuals without a bank account, accounting for their actual interest in being banked. Analogous to how unemployment statistics are defined and estimated, we differentiate the individuals that do not have a bank account and would like to have one (the “unbanked”) from individuals that do not have a bank account and are not interested in having one (the “out of banking population”).
Matteo Iacoviello, Ricardo Nunes, and Andrea PrestipinoWe study optimal credit market policy in a stochastic, quantitative, general equilibrium, infinite-horizon economy with collateral constraints tied to housing prices. Collateral constraints yield a competitive equilibrium that is Pareto inefficient. Taxing housing in good states and subsidizing it in recessions leads to a Pareto-improving allocation for borrowers and savers.
The Bank of England’s Monetary Policy Committee is responsible for making decisions about Bank Rate.
I assess the impact of the recent hike in bank lending rates on euro area retail borrowers using a novel microsimulation framework that updates household-level data of a recent representative survey with up-to-date macro-financial information. The key novelty is that existing mortgages are gradually repaid, and new ones are extended, a feature necessary for medium-term simulations in a period of sizable credit growth. Since lending rates have increased, debt servicing has become more demanding, and the simulated share of distressed loans has increased.
I assess the impact of the recent hike in bank lending rates on euro area retail borrowers using a novel microsimulation framework that updates household-level data of a recent representative survey with up-to-date macro-financial information. The key novelty is that existing mortgages are gradually repaid, and new ones are extended, a feature necessary for medium-term simulations in a period of sizable credit growth. Since lending rates have increased, debt servicing has become more demanding, and the simulated share of distressed loans has increased.
Statement from the Bank of England
We propose a novel empirical structural inflation model that captures non-linear shock transmission using a Bayesian machine learning framework that combines VARs with non-linear structural factor models. Unlike traditional linear models, our approach allows for non-linear effects at all impulse response horizons. Identification is achieved via sign, zero, and magnitude restrictions within the factor model. Applying our method to euro area energy shocks, we find that inflation reacts disproportionately to large shocks, while small shocks trigger no significant response.
We propose a novel empirical structural inflation model that captures non-linear shock transmission using a Bayesian machine learning framework that combines VARs with non-linear structural factor models. Unlike traditional linear models, our approach allows for non-linear effects at all impulse response horizons. Identification is achieved via sign, zero, and magnitude restrictions within the factor model. Applying our method to euro area energy shocks, we find that inflation reacts disproportionately to large shocks, while small shocks trigger no significant response.
