This paper proposes a piecewise-linear Kalman filter (PKF) to estimate DSGE models with occasionally binding constraints. This method expands the set of models suitable for nonlinear estimation. It straightforwardly handles missing data, non-singularity (more shocks than observed time series),...

In this paper we assess the system-wide economic impact of the key financial instruments adopted by the European Union for the implementation of the regional policy: The Structural funds and The Cohesion Funds. We take a bottom-up approach by aggregating the 86 categories of expenditures defined...

The present paper develops Adaptive Trees, a new machine learning approach specifically designed for economic forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions and discontinuities) and unknown structural changes (the...

The paper assesses the impact of adding information on financial cycles on the output gap estimates for eight advanced economies using two unobserved components models: a reduced form extended Hodrick-Prescott filter, and a standard semi-structural unobserved components model. To complement...

This paper investigates in a non-linear setting the impact on the real economy of frictions stemming from the financial sector. We develop a medium scale DSGE model with a banking sector where an occasionally binding constraint on banks' capital induces a relevant non-linearity. The model -...

Much of the literature on flat tax reforms has highlighted the benefits of introducing flat personal income tax systems in transition economies. The advocated benefits of flat tax systems range from their simplicity, higher compliance and lower distortionary effects on growth and employment....