Over the period 2000-2019, we reexamine the connection between finance, as measured by one of the primary banking sector functions-liquidity creation (LC)-and economic growth (EG) in 10 MENA countries panel. In a scenario seen as a dynamic heterogeneous panel, pooled mean group estimates...

Are reforms towards individual taxation politically feasible? Are they desirable from a welfare perspective? We develop a method to answer such questions and apply it to the US federal income tax since the 1960s. Main findings are: As of today, Pareto-improvements require a move away from joint...

Health expenditure data almost always include extreme values, implying that the underlying distribution has heavy tails. This may result in infinite variances as well as higher-order moments and bias the commonly used least squares methods. To accommodate extreme values, we propose an estimation...

Building on automatic differentiation, I propose a solution method for heterogeneous agents models with many aggregate equations which allows to account even for strong nonlinearities. A powerful open source reference implementation is provided which typically solves the canonical HANK model...

Traditional asset pricing tests boil down to evaluating the maximum Sharpe ratio obtained from the factors in a given model. This implicitly assumes the linear stochastic discount factor (SDF) that prices the factors as the asset pricing model. We generalize this approach by considering a...

We use a Bayesian Threshold Vector Autoregression model identified through sign and narrative restrictions to uncover non-linearities in the propagation of energy supply shocks. We find that the transmission of energy supply shocks on consumer prices is stronger in high-inflation regimes,...