Fertility has long been declining in industrialised countries and the existence of public pension systems is considered as one of the causes. This paper provides detailed evidence based on historical data on the mechanism by which a public pension system depresses fertility. Our theoretical...

This model extends the keeping up with the Joneses (KUJ) model to incorporate the notion that positional concerns in consumption are best modelled with a reference dependence specification of preferences, as postulated by Tversky and Kahneman (1991) in the context of riskless choice. In line...

The change in macroeconomic conditions since the ECB's strategy review in 2021 towards an environment characterised by above-target inflation, high interest rates, and renewed concerns about elevated government debt has been a vocal reminder of the intricate interdependencies between monetary...

We provide a versatile nowcasting toolbox that supports three model classes (dynamic factor models, large Bayesian VAR, bridge equations) and offers methods to manage data selection and adjust for Covid-19 observations. The toolbox aims at simplifying two key tasks: creating new nowcasting...

The following sections provide a description of the methodology used as part of the Supervisory Review and Evaluation Process (SREP) for assessing the interest rate risk in the banking book (IRRBB) and credit spread risk in the banking book (CSRBB) of significant institutions. The ECB uses a...

The ECB has collected data on the unrealised losses of significant institutions under its direct supervision with a view to enhancing the assessment of risk in the held-to-maturity portfolios of euro area banks and to furthering its monitoring of interest rate risk and liquidity risk.

We analyze how corporate reorganization and liquidation change labor reallocation during bankruptcy using randomized judge assignments and linked Portuguese employer-employee and firm data. Reorganization reduces the negative effect of bankruptcy on employee earnings, even with most workers...