A choice criterion is proposed for discriminating between disaggregate and aggregate models estimated by the instrumental variables method. The criterion, based on prediction errors, represents a generalization of criteria developed in the context of classical regressions models. The paper also...

This paper considers the solution of nonlinear rational expectations models resulting from the optimality conditions of a finite-horizon intertemporal optimization problem satisfying Bellman's principle of optimality (and possibly involving inequality constraints). A backward recursive procedure...

This paper develops an econometric model for the analysis of exploration and production policies of "price-taking" suppliers, and derives theoretically consistent exploration and output equations for oil which explicitly take account of the oil discovery process and the intertemporal nature of...

A multisectoral union-firm model of wage-setting is developed to analyze intersectoral interactions that take place through expectations of outside wage opportunities in the economy as a whole. The technical issues involved in the solution and estimation of models of this type are discussed,...

This paper derives new theoretical results for forecasting with Global VAR (GVAR) models. It is shown that the presence of a strong unobserved common factor can lead to an undetermined GVAR model. To solve this problem, we propose augmenting the GVAR with additional proxy equations for the...

This paper investigates the long-run effects of public debt and inflation on economic growth. Our contribution is both theoretical and empirical. On the theoretical side, we develop a cross-sectionally augmented distributed lag (CS-DL) approach to the estimation of long-run effects in dynamic...

The Global Vector Autoregressive (GVAR) approach has proven to be a very useful approach to analyze interactions in the global macroeconomy and other data networks where both the cross-section and the time dimensions are large. This paper surveys the latest developments in the GVAR modeling,...

The potential for portfolio diversification is driven broadly by two characteristics: the degree to which systematic risk factors are correlated with each other and the degree of dependence individual firms have to the different types of risk factors. Using a global vector autoregressive...