Maximum likelihood estimation of misspecified dynamic models -- The geometry of model selection in regression -- Misspecification and the choice of estimators, a heuristic approach -- Discrete normal linear regression models -- Specification in simultaneous linear equations models: the relation...

In this book problems related to the choice of models in such diverse fields as regression, covariance structure, time series analysis and multinomial experiments are discussed. The emphasis is on the statistical implications for model assessment when the assessment is done with the same data...

Holly and Magnus [1988] show that the IV estimator in a linear equation is asymptotically as efficient as the ML estimator in the model that is obtained by "completing" this equation to a complete equations system. Their proof is long and involves many matrix manipulations. A simpler approach is...

Partial Least Squares as applied to models with latent variables, measured indirectly by indicators, is well-known to be inconsistent. The linear compounds of indicators that PLS substitutes for the latent variables do not obey the equations that the latter satisfy. We propose simple,...

type="main" xml:lang="en" <p>We extend Svensson's (1991b) analysis of the term structure of interest rate differentials in a target zone. First, the model includes a time-varying devaluation risk, and second, we analyse the term structure of interest differentials vis-a-vis Germany in five...</p>