Theory and application of structural equation modeling in spatial data analysis
PhD ceremony: Ms. A. Liu, 11.00 uur, Academiegebouw, Broerstraat 5, Groningen
Title: Theory and application of structural equation modeling in spatial data analysis
Promotor(s): prof. H. Folmer
Faculty: Spatial Sciences
This thesis compares by means of Monte Carlo simulations two different approaches to capture spatial dependence in regression models: the classical W-based autoregressive model and the structural equations model with latent variables (SEM). In addition, it includes an application of SEM to a spatial cross section data set on female labor market participation.
Based on the Monte Carlo simulation studies, the choice of the spatial weights matrix to represent spatial dependence turns out to be a key issue in the performances of the W-based models as it imposes a priori a structure of spatial dependence. By its very nature SEM is more flexible in that it allows the capturing of spatial dependence by means of various indicators, the relevance of each of which can be tested. SEM is definitely a preferable alternative to the W-based models in the case of large samples and when there is evidence of substantial spatial dependence.
The empirical labor market study using the SEM approach identifies the following positive determinants of female labor market participation at the municipal level in the Netherlands: women aged 35-45 (%), male unemployment rate, spatially lagged female unemployment rate, female-dominated sectors and socio-economic status. Female unemployment rate, spatially lagged male unemployment rate and demographic pressure are found to have negative impacts.
Last modified: | 13 March 2020 01.12 a.m. |
More news
-
23 April 2024
From battling against the water to living with the water
Margo van den Brink, associate professor of Water and Planning, says that we should adapt our spatial design to the changing climate. This implies difficult choices have to be made because the space is limited and the needs are great.
-
16 April 2024
UG signs Barcelona Declaration on Open Research Information
In a significant stride toward advancing responsible research assessment and open science, the University of Groningen has officially signed the Barcelona Declaration on Open Research Information.
-
16 April 2024
Investors consider region a risk
Investment in real estate appears to be an important explanation for the gap between big cities and the region, argues Michiel Daams, associate professor of Economic Geography of the Real Estate Market. He conducted research on investments in the...