In this paper, we consider a nonparametric model with a time-varying regression function and locally stationary regressors. We are interested in the question whether the regression function has the ...

On the other hand, structural regression models deal with estimating the effects between latent factors. The general SEM consists of two models, the measurement model and the structural model.

This paper analyzes similar tests for structural change for the normal linear regression model in finite samples. Using the approach of Wald (1943, "American Mathematical Society Transactions" 54, 426 ...

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

EQS STRUCTURAL Developed by one of the world's leading authorities on the subject, Dr. Peter M. Bentler, EQS provides researchers and statisticians with a simple method for conducting the full range ...

The paper explores the nexus between the financial and business cycles in a semi-structural New Keynesian model with a financial accelerator, an active banking sector, and an endogenous ...