Selling homes is not easy. Home sellers usually need to apply a price discount to swiftly close a deal, and more so when housing market activity is low. Using detailed data on home listings and transactions in Spain, we provide unique estimates of the price discount across regional submarkets...

We introduce a frequency domain version of the EM algorithm for general dynamic factor models. We consider both AR and ARMA processes, for which we develop iterative indirect inference procedures analogous to the algorithms in Hannan (1969). Although our proposed procedure allows researchers to...

We generalise the spectral EM algorithm for dynamic factor models in Fiorentini, Galesi and Sentana (2014) to bifactor models with pervasive global factors complemented by regional ones. We exploit the sparsity of the loading matrices so that researchers can estimate those models by maximum...

We generalise the spectral EM algorithm for dynamic factor models in Fiorentini, Galesi and Sentana (2014) to bifactor models with pervasive global factors complemented by regional ones. We exploit the sparsity of the loading matrices so that researchers can estimate those models by maximum...

Amid the recent commodity price gyrations, policy makers have become increasingly concerned in assessing to what extent oil and food price shocks transmit to the inflationary outlook and the real economy. In this paper, we try to tackle this issue by means of a Global Vector Autoregressive...

In the US economy most of the structural transformation from manufacturing to services occur in recessions. Typically recessions start with a contraction in manufacturing employment followed by an increase in service employment. This pattern has changed in recent recession in the US. The...

We assess the international spillovers of US monetary policy with a large-scale global VAR which models the world economy as a network of interdependent countries. An expansionary US monetary policy shock contributes to the emergence of a Global Financial Cycle, which boosts macroeconomic...

Generalizamos el algoritmo EM espectral para modelos factoriales dinámicos de Fiorentini, Galesi y Sentana (2014) a modelos bifactoriales con factores tanto globales como regionales. Aprovechamos la raleza de las matrices de coefi cientes de manera que se puedan estimar dichos modelos por...

Las economías avanzadas están experimentando una transformación estructural de la industria hacia los servicios. Nosotros documentamos que el cambio estructural viene con un proceso de services deepening: a lo largo del tiempo, tanto los servicios como la industria utilizan más y más bienes...

Realizamos dos contribuciones complementarias para estimar eficientemente modelos factoriales dinámicos: un algoritmo EM espectral y un procedimiento de inferencia indirecta iterada rapidísimo para modelos ARMA sin pérdida de eficiencia asintótica para cualquier número finito de...