This paper studies the joint behaviour of inflation and unemployment in Spain over the period 1964–95 in order to estimate dynamic Phillips trade-offs and sacrifice ratios in response to a demand shock. We organize our empirical approach as a structural (albeit eclectic) one. In so doing, we...

We provide a joint account of the unemployment and labor force participation patterns of older male workers during the past half-century, and of the role of institutions that have shaped their employment experience. To do so, we build an equilibrium model with labor market frictions,...

This paper studies the secular behavior of worker reallocation across occupations in the US labor market. In the empirical analysis, we use 45 years of microdata to construct consistent time-series and document that the fraction of employment reallocated annually across occupations is remarkably...

Spain and Portugal are two neighbour economies which share many characteristics. Spanish unemployment is more than double Portuguese unemployment, however. In this chapter we resort to Structural Vector Autoregression (SVAR) techniques to ascertain which shocks and what propagation mechanism...

In this paper, we provide empirical evidence for the Spanish economy, over the period 1977-97, on whether monetary policy shocks have had different effects on real output growth depending on the state of the business cycle. To do so, we adopt an extension of Hamilton's (1989) Markov Switching...

We conduct a detailed simulation study of the forecasting performance of diffusion index-based methods in short samples with structural change. We consider several data generation processes, to mimic different types of structural change, and compare the relative forecasting performance of factor...

The estimation of dynamic factor models for large sets of variables has attracted considerable attention recently, due to the increased availability of large datasets. In this paper we propose a new parametric methodology for estimating factors from large datasets based on state space models and...

The estimation of structural dynamic factor models (DFMs) for large sets of variables is attracting considerable attention. In this paper we briefly review the underlying theory and then compare the impulse response functions resulting from two alternative estimation methods for the DFM....

This paper analyses the use of factor analysis for instrumental variable estimation when the number of instruments tends to infinity. In particular, we focus on situations where many weak instruments exist and/or the factor structure is weak. Theoretical results, simulation experiments and...

As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Banerjee and Marcellino (2009) introduced the Factor-augmented Error Correction Model (FECM). The FECM combines error-correction, cointegration and dynamic factor models, and has several conceptual...