This paper estimates and tests a new Keynesian small open economy model in the tradition of Christiano, Eichenbaum, and Evans (2005) and Smets and Wouters (2003) using Bayesian estimation techniques on Swedish data. To account for the switch to an inflation targeting regime in 1993 we allow for...

In this paper, we study identification and misspecification problems in standard closed and open-economy empirical New-Keynesian DSGE models used in monetary policy analysis. We find that problems with model misspecification still appear to be a first-order issue in monetary DSGE models, and...

In this paper, we use Monte Carlo methods to study the small sample properties of the classical maximum likelihood (ML) estimator in artificial samples generated by the New-Keynesian open economy DSGE model estimated by Adolfson et al. (2008) with Bayesian techniques. While asymptotic...

In this paper, we use Monte Carlo methods to study the small sample properties of the classical maximum likelihood (ML) estimator in artificial samples generated by the New-Keynesian open economy DSGE model estimated by Adolfson et al. (2008) with Bayesian techniques. While asymptotic...

We introduce time-varying systemic risk in an otherwise standard New-Keynesian model to study whether a simple leaning-against-the-wind policy can reduce systemic risk and improve welfare. We find that an unexpected increase in policy rates reduces output, inflation, and asset prices without...

This paper contains an empirical analysis of the dynamic effects of monetary policy on Swedish data within a framework consistent with the theoretical New-Keynesian type of small open economy models. Because of what appears to be time-varying seasonal patterns in the data, I argue that it is of...

Recent research have provided evidence that backward-looking models fit the data well while purely forward-looking models seem to be inconsistent with data. Consequently, many recent papers in the monetary policy rule literature have used hybrid models, which contain both backward- and...