We integrate systemic financial instability in an empirical macroeconomic model for the euro area. We find that at times of widespread financial instability the macroeconomy functions fundamentally differently from tranquil times. We employ a richly specified Markov-Switching...

This paper proposes a parsimoniously time varying parameter vector autoregressive model (with exogenous variables, VARX) and studies the properties of the Lasso and adaptive Lasso as estimators of this model. The parameters of the model are assumed to follow parsimonious random walks, where...

We assess the efficiency of monetary policy to guide inflation expectations in high and low regimes. Using quantile regression we analyze the persistence of inflation expectations from the Consensus Economics Survey at different quantiles. We find a) empirical evidence that expectations are not...

In this paper we study 2-state Markov switching VAR models of monthly unemployment and inflation for three countries: Sweden, United Kingdom, and the United States. The primary purpose is to examine if periods of low inflation are associated with high or low unemployment volatility. We find that...

In most OECD countries, we cannot reject up to three breaks in the mean of inflation: one break in the late 1960's-early 1970's, one in the early-mid 1980's and another break in the early 1990's. These breaks tend to be associated more often to breaks in the mean of nominal variables than to the...

Markov models introduce persistence in the mixture distribution. In time series analysis, the mixture components relate to different persistent states characterizing the state-specific time series process. Model specification is discussed in a general form. Emphasis is put on the functional form...

We investigate the long-run equilibrium relationship between credit default swap (CDS) premia and bond spreads for 65 U.S. corporate entities and 6 major banks over the period April 2011 – February 2018. Standard regression methods reveal that in 40 out of 71 entities, the two series fail to...

Vector autoregressive (VAR) models are widely used in practical studies, e.g., forecasting, modelling policy transmission mechanism, and measuring connection of economic agents. To better capture the dynamics, this paper introduces a new class of time-varying VAR models in which the coefficients...

The output gap, while inherently unobservable, plays a pivotal role in informing policymakers due to its significant implications for forecasting inflation rates and understanding the mechanisms of monetary policy transmission. Traditional filters frequently employed in estimating the output gap...

We propose a new Bayesian heteroskedastic Markov-switching structural vector autoregression with data-driven time-varying identification. The model selects alternative exclusion restrictions over time and, as a condition for the search, allows to verify identification through heteroskedasticity...