In this paper we extend the standard approach of correlation structure analysis in order to reduce the dimension of highdimensional statistical data. The classical assumption of a linear model for the distribution of a random vector is replaced by the weaker assumption of a model for the copula....

One of the common features of innovative SMEs identified from our previous surveys and in-depth interviews is innovation capability accumulated inside the firm, which enables them to create new products which meet customer needs and to cooperate with the other firms. The factors that SMEs...

Using a simplified NEG model, we investigates the relation between labor diversity and agglomeration. In the theoretical part, we assume the following two-region model. Homogenous consumption goods are produced using a constant returns technology with homogenous capital and heterogenous workers....

Formatively-measured constructs (FMCs) are increasingly used in marketing research as well as in other disciplines. Although constructs operationalized by means of formative indicators have mostly been placed in exogenous positions in structural equation models, they also frequently occupy...

One of the common features of innovative SMEs identified from our previous surveys and in-depth interviews is innovation capability accumulated inside the firm, which enables them to create new products which meet customer needs and to cooperate with the other firms. The factors that SMEs...

Covariance structure analysis of nonnormal data is important because in practice all data are nonnormal. When applying covariance structure analysis to nonnormal data, it is generally assumed that the asymptotic covariance matrix Γ for the nonredundant terms in the sample covariance matrix S is...

The broader goal of this paper is to provide social researchers with some analytical guidelines when investigating structural equation models (SEM) with predominantly a formative specification. This research is the first to investigate the robustness and precision of parameter estimates of a...

The noncentral chi-square approximation of the distribution of the likelihood ratio (LR) test statistic is a critical part of the methodology in structural equations modeling (SEM). Recently, it was argued by some authors that in certain situations normal distributions may give a better...