This paper uses a VAR model estimated with Bayesian methods to identify the effect of productivity news shocks on labor market variables by imposing that they are orthogonal to current technology but they explain future observed technology.  In the aftermath of a positive news shock,...

Inflation is a far from homogeneous phenomenon, a fact often neglected in modeling consumer price inflation.  Using a novel methodology grounded in theory, the ten sub-components of the consumer price index (excluding mortgage interest rates), are modeled separately and forecast,...

This paper studies how key labor market stylized facts and the responses of labor market variables to technology shocks vary over the US postwar period.  It uses a benchmark DSGE model enriched with labor market frictions and investment specific technological progress that enables a novel...

 We propose a new class of multivariate volatility models utilizing realized measures of asset volatility and covolatility extracted from high-frequency data. Dimension reduction for estimation of large covariance matrices is achieved by imposing a factor structure with time-varying conditional...

An algorithm suggested by Hendry (1999) for estimation in a regression with more regressors than observations, is analyzed with the purpose of finding an estimator that is robust to outliers and structural breaks.  This estimator is an example of a one-step M-estimator based on Huber's skip...

We consider whether oil prices can account for business cycle asymmetries. We test for asymmetries based on the Markov switching autoregressive model popularized by Hamilton (1989), using the tests devised by Clements and Krolzig (2000). We select the transformation of the oil price of Lee, Ni...

Unrestricted reduced form vector autoregressive (VAR) models have become a dominant research strategy in empirical macroeconomics since Sims (1980) critique of traditional macroeconometric modeling. They are however subjected to the curse of dimensionality. In this paper we propose...

We introduce a reduced rank technique for testing for common deterministic shifts. The reduced rank approach is analysed also in the context of super exogenity and an alternative test for super-exogenity is proposed. One important advantage of this approach is that departing from the...

We enrich a baseline RBC model with search and matching frictions on the labor market and real frictions that are helpful in accounting for the response of macroeconomic aggregates to shocks.  The analysis allows shocks to have an unanticipated and a new (i.e. anticipated) component.  The...

This paper introduces a new class of multivariate volatility models which is easy to estimate using covariance targeting, even with rich dynamics. We call them rotated ARCH (RARCH) models. The basic structure is to rotate the returns and then to fit them using a BEKK-type parameterization of the...