Structural change affects the estimation of economic signals, like the underlying growth rate or the seasonally adjusted series. An important issue, which has attracted a great deal of attention also in the seasonal adjustment literature, is its detection by an expert procedure. The general to...

This paper aims to provide reliable estimates for the COVID-19 contact rate of a Susceptible-Infected-Recovered (SIR) model, From observable data on confirmed, recovered, and deceased cases, a noisy measurement for the contact rate can be constructed, To filter out measurement errors and...

This paper investigates the relationship between innovation activities and market structure in German chemical industry. We present a formal model that suggests the existence of a self-enforcing dynamic feedback between market concentration and innovation. This model is tested on the basis of...

We use a novel procedure to identify fiscal feedback rules for the US: We start by estimating a DSGE model and on that basis compute the Ramsey optimal responses to structural shocks. Then we let the policy maker choose from a general set of rules to match the dynamic behavior of a number of key...

This paper employs the unrestricted extended constant conditional correlation GARCH specification proposed in Conrad and Karanasos (2010) to examine the intertemporal relationship between the uncertainties of inflation and output growth in the US. We find that inflation uncertainty effects...

Consequences of path-dependent supply side hysteresis on the market equilibrium are illustrated. Supply is only a subsystem of the entire market with its forcing variable (price) being endogenous from the perspective of the entire market. This results in feedbacks on the equilibrium of price and...

This paper analyzes volatility spillovers in multivariate GARCH-type models. We show that the cross-effects between the conditional variances determine the persistence of the transmitted volatility innovations. In particular, the influence of a foreign volatility innovation on a conditional...

Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. To account for temporal instabilities in this relationship, this paper discusses an extension to MIDAS with time-varying parameters, which...

An estimated Markov-switching DSGE modelling framework that allows for parameter shifts across regimes is employed to test the hypothesis of regime-dependent credibility of Hong Kong s linked exchange rate system. The model distinguishes two regimes with respect to the time-series properties of...