Financial institutions

On-the-job search in Europe and the U.S.: precautionary vs. job ladder motives

While employer-to-employer (E2E) transitions are by now well-documented, these data alone cannot reveal what drives mobility: who searches, why, and how search translates into transitions. Using novel panel data from the ECB and NY Fed consumer expectations surveys, we provide the first systematic cross-country analysis of on-the job search (OJS) and E2E transitions across eleven euro area countries and the U.S. Our data uniquely include direct measures of OJS and its motives (job loss expectations for precautionary, pay satisfaction for job ladder) for all workers, not just searchers.

Severity over quantity. Drivers of supervisory capital add-ons in internal ratings-based models

Banks use their internal models to estimate capital requirements in a risk-sensitive way, subject to a set of rules laid down in banking regulation. However, these models are not flawless as the usage of models suffers from imperfections, such as oversimplifications or wrong assumptions. As a result, risks may be underestimated. This is particularly troublesome, where models are used to assess risks to banks’ solvency. In this paper we address an important gap in the literature with regard to such model risk.

On-the-job search in Europe and the U.S.: precautionary vs. job ladder motives

While employer-to-employer (E2E) transitions are by now well-documented, these data alone cannot reveal what drives mobility: who searches, why, and how search translates into transitions. Using novel panel data from the ECB and NY Fed consumer expectations surveys, we provide the first systematic cross-country analysis of on-the job search (OJS) and E2E transitions across eleven euro area countries and the U.S. Our data uniquely include direct measures of OJS and its motives (job loss expectations for precautionary, pay satisfaction for job ladder) for all workers, not just searchers.

Feeling the heat unevenly: energy prices and household consumption

This box examines the mechanisms behind the aggregate and distributional effects of energy price shocks on euro area households, taking its cue from the recent surge in energy prices following the outbreak of the war in the Middle East. Drawing on a quantitative heterogeneous agent New Keynesian model calibrated to the euro area, it shows that energy price shocks reduce aggregate consumption through real income losses.

The transmission of shocks across sectors and the dynamics of sectoral prices

This paper studies the dynamics of U.S. sectoral producer prices in a large Bayesian Vector Auto Regression (BVAR) model where the Input-Output (IO) matrix is used to structure their long-run relationships. The model provides evidence of a sectoral spillover channel in driving headline inflation without imposing such a mechanism in the model’s structure.

The transmission of shocks across sectors and the dynamics of sectoral prices

This paper studies the dynamics of U.S. sectoral producer prices in a large Bayesian Vector Auto Regression (BVAR) model where the Input-Output (IO) matrix is used to structure their long-run relationships. The model provides evidence of a sectoral spillover channel in driving headline inflation without imposing such a mechanism in the model’s structure.

Tracing the ripple effects of the Middle East war on euro area consumption

The onset of the war in the Middle East triggered a sharp deterioration in consumer confidence across the euro area, comparable in magnitude to that observed after Russia’s invasion of Ukraine. This box examines the extent to which the decline in confidence is associated with actual consumption behaviour using microdata from the ECB Consumer Expectations Survey. The analysis reveals that nominal consumption growth softened materially in April 2026, driven mainly by reduced discretionary spending, particularly among higher-income households.

FEDS Paper: Credit Surfaces and Economic Uncertainty

John Geanakoplos and David E. RappoportThe Credit Surface along the leverage dimension gives the bond spread as a function of the loan-to-value ratio. Empirically, we show that uncertainty shocks typically increase spreads and steepen the credit surface, profoundly affecting the supply of credit. Theoretically, we derive necessary and sufficient conditions for the convexity of the credit surface, and for changes in the anticipated distribution of collateral prices that lead to steepening of the credit surface.

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