This paper presents a generalized two-step maximum likelihood estimation method for partially identified vector autoregressive models. We suggest a likelihood ratio test for over-identification in a sub-system and derive the asymptotics for impulse responses and forecast-error variance...

This paper uses the open economy structural VAR model developed in Buckle, Kim, Kirkham, McLellan and Sharma (2002) to evaluate the impact of monetary policy on New Zealand business cycles and inflation variability and the output/inflation variability trade-off. The model includes a...

Extending recent theoretical contributions on sources of inflation inertia, we argue that monetary uncertainty accounts for sluggish expectations adjustment to nominal disturbances. Estimating a model in which rational individuals learn over time about shifts in U.S. monetary policy and the...

Structural vector autoregressions (SVARs) have become a standard tool used to determine the roles of monetary policy shocks in generating cyclical fluctuations in the United States. Using both long- and short-run identifying restrictions, various authors have explored the empirical response of...

This paper proposes a new empirical representation of US inflation expectations in a Stace-Space Markov-Switching framework in order to identify the expectations regimes which are associated with short and long term Phillips curves. Results suggest that the dynamics of in‡ation expectation...

We introduce continuous-time models that capture the salient features of the short-term interest rate and remain tractable for asset pricing applications. We extend classical specifications within and outside of the affine class to multi-factor settings with latent variables that are readily...

This article studies two extensions of the compound Poisson process with iid Gaussian innovations which are able to characterize important features of high frequency security prices. The first model explicitly accounts for the presence of the bid/ask spread encountered in price-driven markets....

Macroeconomic or financial data are often modelled with cointegration and GARCH. Noticeable examples include those studies of price discovery, in which stock prices of the same underlying asset are cointegrated and they exhibit multivariate GARCH. Modifying the asymptotic theories developed in...

Macroeconomic or financial data are often modelled with cointegration and GARCH. Noticeable examples include those studies of price discovery, in which stock prices of the same underlying asset are cointegrated and they exhibit multivariate GARCH. Modifying the asymptotic theories developed in...

The term structure of interest rates is often summarized using a handful of yield factors that capture shifts in the yield curve. Despite their wide application in financial economics, very little is known on the time-series properties of the yield-factor volatilities. We examine three common...