As a unified discipline, econometrics is still relatively young and has been transforming and expanding very rapidly over the past few decades. Major advances have taken place in the analysis of cross sectional data by means of semi-parametric and non-parametric techniques. Heterogeneity of...

In this paper we present simulations of economic performance of the Polish economy based on a quarterly econometric model. The model consists of 22 stochastic equations, which link the financial market with the real economy. The purpose of the research is to present effects of changes to...

We investigate regime-dependent Granger causality between real output, inflation and monetary indicators and map with U.S. Fed Chairperson's tenure since 1965. While all monetary indicators have causal predictive content in certain time periods, we report that the Federal Funds rate (FFR) and...

We investigate regime-dependent Granger causality between real output, inflation and monetary indicators and map with U.S. Fed Chairperson's tenure since 1965. While all monetary indicators have causal predictive content in certain time periods, we report that the Federal Funds rate (FFR) and...

We exploit the 1996 reform of the German child benefit program to identify the causal effect of heterogeneous child benefits on fertility. While generally the reform increased child benefits, the exact amount of the increase varied by household income and the number of children. We use these...

In most research on Life Satisfaction (LS), it is assumed that the covariates of high and low LS are the same for everyone, or at least everyone in the West. In this paper, analysing data from the German Socio-Economic Panel, with a limited replication based on Australian panel data, we estimate...

This paper presents a framework for empirical analysis of dynamic macroeconomic models using Bayesian filtering, with a specific focus on the state-space formulation of New Keynesian Dynamic Stochastic General Equilibrium (NK DSGE) models with multiple regimes. We outline the theoretical...

We study the effect of a corruption reflection index on internal conflict in Iran using a novel measure of corruption based on newspaper coverage. We use the Vector Autoregression (VAR) model and its applied tools of impulse response and variance decomposition analyses to track the response of...

We develop a novel approach integrating epidemiological and economic models that allows databased simulations during a pandemic. We examine the economically optimal opening strategy that can be reconciled with the containment of a pandemic. The empirical evidence is based on data from Germany...

We analyse the drivers of European Power Exchange (EPEX) wholesale electricity prices between 2012 and early 2022 using machine learning. The agnostic random forest approach that we use is able to reduce in-sample root mean square errors (RMSEs) by around 50% when compared to a standard linear...