We propose and describe a comprehensive theoretical framework that integrates choice models and structural equation models. Referred to as structural choice modelling the framework easily combines data from separate but related choice experiments. We describe the mathematical properties of the...

The common maximum likelihood (ML) estimator for structural equation models (SEMs) has optimal asymptotic properties under ideal conditions (e.g., correct structure, no excess kurtosis, etc.) that are rarely met in practice. This paper proposes model-implied instrumental variable – generalized...

Purpose – The purpose of this paper is to reconcile the multidimensional nature of poverty with a population's cultural conditioning for the purpose of policy evaluation. Design/methodology/approach – Structural equation modeling is the strategy used to compare nested models. Findings –...

Structural equation models (SEM) are commonly used to analyze the relationship between variables some of which may be latent, such as individual ``attitude'' to and ``behavior'' concerning specific issues. A number of difficulties arise when we want to compare a large number of groups, each with...