Full weighted least squares (full WLS) and robust weighted least squares (robustWLS) are currently the two primary estimation methods designed for structural equationmodeling with ordinal observed variables. These methods assume that continuous latentvariables were coarsely categorized by the...

Finansų rinkų programos Verslo nuosavybės ekonomikos specializacijos magistro baigiamojo darbo tema yra aktuali, nes atsargų valdymas, efektyvus atsargų valdymo proceso organizavimas yra aktualus kiekvienai įmonei, užsiimančiai gamybine ar prekybine veikla. Atsargos – vienas iš...

Purpose – The purpose of this paper is to propose a new unbiased, reliable, exact, and systematic method of job satisfaction score estimation. The method considers affective and cognitive aspects simultaneously. Design/methodology/approach – A questionnaire survey following the optimum...

The aim of this study is to search for a better optimization algorithm in applying unit root tests that inherit nonlinear models in the testing process. The algorithms analyzed include Broyden, Fletcher, Goldfarb and Shanno (BFGS), Gauss-Jordan, Simplex, Genetic, and Extensive Grid-Search. The...

When the dimension of the vector of estimated parameters increases, simulation based methods become impractical, because the number of draws required for estimation grows exponentially with the number of parameters. In simulation methods, the lack of empirical identification when the number of...

The gravity equation has been traditionally used to predict trade flows across countries. However, several problems related with its empirical application still remain unsolved. The unobserved heterogeneity, the presence of heteroskedasticity in trade data or the existence of zero flows, which...

This paper reviews methods for the estimation of dynamic discrete choice structural models and discusses related econometric issues. We consider single agent models, competitive equilibrium models and dynamic games. The methods are illustrated with descriptions of empirical studies which have...

We study the statistical properties of three estimation methods for a model of learning that is often fitted to experimental data: quadratic deviation measures without unobserved heterogeneity, and maximum likelihood with and without unobserved heterogeneity. After discussing identification...