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...

We use an estimated monetary business cycle model with search and matching frictions in the labor market and nominal price and wage rigidities to study four countries (the U.S., the U.K., Sweden, and Germany) during the financial crisis and the Great Recession. We estimate the model over the...

We study the design of monetary policy in an estimated model with sticky prices, search and matching frictions, and staggered nominal wage bargaining. We find that the estimated natural rate of unemployment is consistent with the NBER description of the U.S. business cycle, and that the...

We use a standard quantitative business cycle model with nominal price and wage rigidities to estimate two measures of economic inefficiency in recent U.S. data: the output gap---the gap between the actual and efficient levels of output---and the labor wedge---the wedge between households'...

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...

This paper brings together several important strands of the econometrics literature: error-correction, cointegration and dynamic factor models. It introduces the Factor-augmented Error Correction Model (FECM), where the factors estimated from a large set of variables in levels are jointly...

In a situation where agents can only observe a noisy signal of the shock to future economic fundamentals, SVAR models can still be successfully employed to estimate the shock and the associated impulse response functions. Identification is reached by means of dynamic rotations of the reduced...

Starting from the dynamic factor model for non-stationary data we derive the factor-augmented error correction model (FECM) and, by generalizing the Granger representation theorem, its moving-average representation. The latter is used for the identification of structural shocks and their...