We document the twin crisis that affected Spain in the mid-1860s. First, we trace back its origins to the international crisis of 1864-66. Next, we describe the particular banking sector of Spain, characterized by the coexistence of the Bank of Spain with multiple local banks of issue. We...

We document the twin crisis that affected Spain in the mid-1860s. First, we trace back its origins to the international crisis of 1864-66. Next, we describe the particular banking sector of Spain, characterized by the coexistence of the Bank of Spain with multiple local banks of issue. We...

This paper establishes some stylized facts of the long run relationship between growth and labor shares using historical data for the United States (1898-2010), the United Kingdom (1856-2010), and France (1896-2010). Performing individual country time-frequency analysis, we demonstrate the...

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...

This paper proposes an econometric framework for nowcasting the monetary policy stance and decisions of the European Central Bank (ECB) exploiting the ow of conventional and textual data that become available between two consecutive press conferences. Decompositions of the updated nowcasts into...

Against the background of the rapid inter- and intraregional integration of East Asia, we examine the extent and nature of synchronisation of business cycles in the region. We estimate various specifications of a dynamic common factor model for output growth of ten East Asian countries. A...

We build a dynamic factor model with time-varying parameters and stochastic volatility and use it to decompose the variance of a large set of financial and macroeconomic variables for 22 OECD countries spanning from 1960 onwards into contributions from country-specific uncertainty,...

We evaluate forecasts for the euro area in data-rich and ‘data-lean’ environments by comparing three different approaches: a simple PMI model based on Purchasing Managers’ Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus...

Prediction of macroeconomic aggregates is one of the primary functions of macroeconometric models, including dynamic factor models, dynamic stochastic general equilibrium models, and vector autoregressions. This study establishes methods that improve the predictions of these models, using a...

We propose a dynamic factor model for mixed-measurement and mixed-frequency panel data. In this framework time series observations may come from a range of families of parametric distributions, may be observed at different time frequencies, may have missing observations, and may exhibit common...