We use inflation and income growth expectations from the ECB Consumer Expectations Survey to measure the subjective expected pass-through of inflation to income in the main euro area countries. By aggregating consumers' responses to probabilistic questions, we obtain significantly higher...

To which extent do equity and housing hedge against inflation? Despite the extensive literature, there is only little consensus. This paper presents evidence on this question from the Jordà–Schularick–Taylor Macrohistory Database covering 16 countries from 1870 to 2020. The results depend...

This study provides country-specific empirical evidence on the optimal inflation-growth threshold in the ECOWAS (WAEMU and WAMZ) region from 1996-2022. Although there is large empirical literature on this subject, however, previous studies generally focused on exogenous approaches of determining...

We develop a score-driven time-varying parameter model where no particular parametric error distribution needs to be specified. The proposed method relies on a versatile spline-based density, which produces a score function that follows a natural cubic spline. This flexible approach nests the...

We examine how the occurrence of natural disasters impact the US economy and financial markets using monthly data since 2000. Our analysis reveals large sustained adverse effects of disasters on overall economic activity, with significant implications across various sectors including labor,...

The transition to a cleaner energy mix, essential for achieving net-zero greenhouse gas emissions by 2050, will significantly increase demand for metals critical to renewable energy technologies. Energy Transition Metals (ETMs), including copper, lithium, nickel, cobalt, and rare earth elements,...

This paper explores the evolution of non-working time in Spain over recent years by analysing the results of two surveys conducted by the National Statistics Institute: the Quarterly Survey on Labor Costs and the Labor Force Survey. Using time series models and intervention analysis, potential...

Forecasting banking system liquidity is crucial for the effective monetary policy implementation. This study investigates the effectiveness of various econometric and machine learning models in predicting the autonomous factors of banking system liquidity. The research compares widely used...

This paper investigates whether the inherent non-stationarity of macroeconomic time series is entirely due to a random walk or also to non-linear components. Applying the numerical tools of the analysis of dynamical systems to long time series for the US, we reject the hypothesis that these...

The classical approach to testing for structural change employs retrospective tests using a historical data set of a given length. Here we consider a wide array of fluctuation-type tests in a monitoring situation - given a history period for which a regression relationship is known to be stable,...