This paper provides a critical survey of the methods employed to model the effects of risk in econometric models. Most of the popular methods are shown to suffer from errors-in-variables bias, and an instrumental variable method is suggested to overcome this problem. The technique exploits the...

The paper begins with the question of whether Leamer's Extreme Bounds Analysis (EBA) really does "Take the Con Out of Econometrics" By analytically demonstrating that the extreme bounds are simply functions of the F-statistic for the deletion of variables from a regression, we conclude that the...

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model that accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for...

This paper investigates the effects of introducing household production in an international real business cycle model. We show how a model driven by disturbances to the household production can account for some features of international cycles. A version of the model which considers shocks to...

This paper analyses the empirical interdependence of asset returns, real activity and inflation from a multicountry and international point of view. We find that nominal stock returns are significantly related to inflation only in the United States, that the US term structure of interest rates...

We study the effects of German unification on macroeconomic variables in a model with capital accumulation, skill differences and a welfare state. The integration of two economies differing in capital holdings and skill distribution is similar to a mass migration of low-skilled agents holding no...

This Paper proposes a method to conduct inference in panel VAR models with cross-unit interdependencies and time variations in the coefficients. The set-up used is Bayesian, and Markov chain Monte Carlo (MCMC) methods are used to estimate the posterior distribution of the features of interest....

The paper proposes a technique to test jointly for groupings of unknown size in the cross-sectional dimension of a panel and estimates the parameters of each group, applying it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data,...

We date turning points of the reference cycle for 19 Mediterranean countries and analyze their structure and interdependencies. Fluctuations are volatile and not highly correlated across countries; recessions are deep but asynchronous, the distribution of output losses in recessions spread out....

We propose two methods to choose the variables to be used in the estimation of the structural parameters of a singular DSGE model. The first selects the vector of observables that optimizes parameter identification; the second the vector that minimizes the informational discrepancy between the...