A Structural Equation Approach to Models with Spatial Dependence

By Johan H. L. Oud, H. Folmer. 2008

84 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1166c249eea1461ac91e2ebaccfbfc664fd7c5b0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Frank Witlox
2. Veronique Van Acker
3. H. Folmer
4. Honghao Ren
5. Patricia L. Mokhtarian
6. J. De Vos
7. Chris Zegras
8. Tim Schwanen

In Statistics and Probability

1. H. Folmer
2. Frank Witlox
3. U. Attanayake
4. Veronique Van Acker
5. Kerrie L. Mengersen
6. S. Siciliano
7. E. Lamb
8. K. Stewart

Citations in the corpus

• Spatially explicit structural equation modeling (2014, methodology): “The SE-SEM methodology outlined in this paper differs substantially from the alternative spatial SEM approaches available in the literature (Wang and Wall 2003, Liu et al. 2005, Congdon et al. 2007, Oud and Folmer 2008, Congdon 2010).”
• Determinants of residential satisfaction in urban China: A multi-group structural equation analysis (2017, background): “A latent variable (or theoretical construct) denotes a variable which is supposed to exist but can be only indirectly observed through observable indicators (Oud and Folmer, 2008).”
• Going soft: on how Subjective Variables Explain Modal Choices for Leisure Travel (2011, background): “The relationships between exogenous and endogenous variables are represented by the structural model and are defined by the matrices (Hayduk, 1987; Oud and Folmer, 2008; Van Acker et al., 2007):”