New-Keynesian models are characterized by the presence of expectations as explanatory variables. To use these models for policy evaluation, the econometrician must estimate the parameters of expectation terms. Standard estimation methods have several drawbacks, including possible lack of...

Exploratory factor analysis (EFA) is an important tool in data analyses, particularly in social science. Usually four steps are carried out which contain an large number of options. One important option is the number of factors and the association of variables with a factor. Our tools aim to...

The paper proposes a data driven adaptive model selection strategy. The selection crite- rion measures economic exante forecasting content by means of trading implied cash flows. Empirical evidence suggests that the proposed strategy is neither exposed to selection bias nor to the risk of...

The issue of measurement invariance commonly arises in factor-analytic contexts, with methods for assessment including likelihood ratio tests, Lagrange multiplier tests, and Wald tests. These tests all require advance definition of the number of groups, group membership, and offending model...

The well-known problem of too many instruments in dynamic panel data GMM is dealt with in detail in Roodman (2009, Oxford Bull. Econ. Statist.). The present paper goes one step further by providing a solution to this problem: factorisation of the standard instrument set is shown to be a valid...

The well-known problem of too many instruments in dynamic panel data GMM is dealt with in detail in Roodman (2009, Oxford Bull. Econ. Statist.). The present paper goes one step further by providing a solution to this problem: factorisation of the standard instrument set is shown to be a valid...

In 1950, Latin American countries capabilities were promising, and the subcontinent was thought to have a big potential for convergence. In order to understand why this prediction was not fulfilled, we apply in this paper the framework set by Fagerberg and Srholec (2008(24)). Our study of the...

We propose a Bayesian factor analysis model to rank the health of localities. Mortality and morbidity variables empirically contribute to the resulting rank, and population and spatial correlation are incorporated into a measure of uncertainty. We use county-level data from Texas and Wisconsin...

This paper investigates the individual outcomes of irrational thinking, including paranormality and non-scientific thinking. These modes of thinking are identified by factor analysis from a 2008 survey. Income and happiness are used as measures of performance. Empirical results reveal that...

Gegenstand der Arbeit ist die Qualität von Berufsakademien aus Arbeitgebersicht. Es erfolgt zunächste eine Aufarbeitung der theoretischen Grundlagen für Dienstleistungsqualität, insbesondere aus der Perspektive von Bildungsinstitutionen, insbesondere von Berufsakademien. Anschließend...