We introduce a method that exploits some non-Gaussian features of structural shocks to identify structural vector autoregression (SVAR) models. More specifically, we propose combining inequality restrictions on the higher-order moments of the structural shocks of interest with other...

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...

This paper aims to investigate the long-run and short-run dynamics of important determinants of child labor at macroeconomic level in the case of Pakistan. The import distinction of this paper is that it is the first attempt to investigate the long-run and short-impacts of determinants of child...

In this paper, we discuss the relationship between the current account rebalancing in the Eurozone, income distribution and wage policies with a focus on the main surplus economy, Germany. We will illustrate how and to which extent German wage policies could be able to contribute to a more...

In this paper we extract the factors that shape the yield curve and we relate them with macroeconomy. We examine whether the term structure can predict future economic activity by applying a range of econometric approaches both in pre- and post- crisis periods. Furthermore, we assess the...

We integrate the housing market and the labor market in a dynamic general equilibrium model with credit and search frictions. The model is confronted with the U.S. macroeconomic time series. Our estimated model can account for two prominent facts observed in the data. First, the land price and...

We propose an empirical framework to measure the degree of weakness of the global economy in real-time. It relies on nonlinear factor models designed to infer recessionary episodes of heterogeneous deepness, and fitted to the largest advanced economies (U.S., Euro Area, Japan, U.K., Canada and...

The aim of the paper is to analyze the ability of internet activity, what has been called Google econometrics, to predict unemployment in Spain. We include a new predictor for Spanish unemployment based on internet information provided by Google Trends. Using monthly data from January 2004 to...

Using Gretl, I apply ARMA, Vector ARMA, VAR, state-space model with a Kalman filter, transfer-function and intervention models, unit root tests, cointegration test, volatility models (ARCH, GARCH, ARCH-M, GARCH-M, Taylor-Schwert GARCH, GJR, TARCH, NARCH, APARCH, EGARCH) to analyze quarterly time...

The Basel III/CRD IV reforms to the banking system following the financial crisis of 2008–09 required banks to raise significantly both the quality and quantity of capital on their balance sheets. This econometric study provides evidence of both the long and short-term implications for ongoing...