The contribution of generalized method of moments (Hansen and Singleton, 1982) was to allow frequentist inference regarding the parameters of a nonlinear structural model without having to solve the model. Provided there were no latent variables. The contribution of this paper is the same. With...

This paper examines the modelling complications that appear when some macroeconomic behavioral relationships interact with structural variables, even under a given A matrix. The main problem is concretized for the situation when, a) the final consumption, gross fixed capital formation, inventory...

The paper focuses on establishing causation in regression analysis in observational settings. Simple static regression analysis cannot establish causality in the absence of a priori theory on possible causal mechanisms or controlled and randomized experiments. However, two regression based...

This paper examines the modelling complications that appear when some macroeconomic behavioral relationships interact with structural variables, even under a given A matrix. The main problem is related to the situation when: a) the final consumption, gross fixed capital formation, inventory...

There is a growing consensus that part of the surge in government bond spreads during the EMU debt crisis can be explained by wake-up-call contagion. Evidence on pure contagion however is very mixed and there are no insights into the dynamics of these effects. As a contribution to fill this gap,...

This paper considers structural models when both I(1) and I(0) variables are present. It is necessary to extend the traditional classification of shocks as permanent and transitory, and we do this by introducing a mixed shock. The extra shocks coming from introducing I(0) variables into a system...

In this paper we establish the consistency of the model selection criterion based on the quasi-marginal likelihood obtained from Laplace-type estimators (LTE). We consider cases in which parameters are strongly identified, weakly identified and partially identified. Our Monte Carlo results...

In this paper we provide empirical measures of central bank credibility and augment these with historical narratives from eleven countries. To the extent we are able to apply reliable institutional information we can also indirectly assess their role in influencing the credibility of the...

The measurement error problem in linear time series regression, with focus on the impact of error memory, modeled as finite-order MA processes, is considered. Three prototype models, two bivariate and one univariate ARMA, and ways of handling the problem by using instrumental variables (IVs) are...