We set up an agent-based macromodel focusing on consumption-saving without the assumption of utility maximization, but preserving certain "rational" aspects of human choice based on the idea of ecological rationality Todd et al. (2012). In this framework we address the classical problem of the...

Macroeconomic modelling is a recent development within the rapidly advancing field of agentbased modelling. Like older macromodels macro ABMs must also feature a well-designed consumption-savings block. As the microeconomic ABM literature on savings is non-existent researchers had to resort to...

In this paper we analyze statistics derived from the cross-wavelet transform of inflation differentials and exchange rate changes for a group of countries with Germany as the reference country. An important tool is the wavelet coherency measure from which we can judge the strength of the...

Men's labor income is on average higher than that of women practically everywhere. This gender pay gap can be decomposed into two components: on the one hand men usually work in better paid jobs (the sorting effect), and, on the other, even in the same occupation men get higher wages (the...

It is frequently claimed that the expected yield on emerging market bonds commands a premium. Here we investigate the sources of this phenomenon. A stochastic general equilibrium model of a small open economy is analyzed numerically to derive conditions for interest rate premia. The novelty of...

In this paper our aim was to establish legal facts for Hungary in detail, to put the country's situation into international context, and to find new avenues for comparative research. We updated investor protection indicators already existing in the literature, while determined enforcement...

We estimate the gender pay gap with the traditional OLS based Blinder-Oaxaca decomposition, and with an extension using Random Forest (RF) regressions on Hungarian data for the years 2008-2016. Random Forests perform better as predictors out-of-sample and yield consistently lower estimates for...