The objective of this paper is to compare different forecasting methods for the short run forecasting of Business Survey Indicators. We compare the forecasting accuracy of Artificial Neural Networks (ANN) vs. three different time series models: autoregressions (AR), autoregressive integrated...

This paper studies the identification of nonseparable models with continuous, endogenous regressors, also called treatments, using repeated cross sections. We show that several treatment effect parameters are identified under two assumptions on the effect of time, namely a weak stationarity...

We extend previous work on the sustainability of the government's intertemporal budget constraint by allowing for non-linear adjustment of the fiscal variables, conditional on (i) the sign of budgetary disequilibria and (ii) the phase of the economic cycle. Further, our endogenously estimated...

To date, an operational measure of systemic risk capturing non-linear tail comovement between system-wide and individual bank returns has not yet been developed. This paper proposes an extension of the so-called CoVaR measure that captures the asymmetric response of the banking system to...

This paper test the null hypothesis of linearity against a specific form of nonlinearity in the Data Generating Process (DGP) of the unemployment rate and the difference between the inflation rate (measured as the twelve months variation of CPI and CPIX1) and the inflation target, using twenty...

The aim of this study is to show that there exists a common movement among the currencies of emerging market economies that implemented the exible exchange rate regime after 2000. Also, we examine if this common movement is closely related to financial markets and some macroeconomic fundamentals...