Modeling Spatial Regimes With Smooth Transitions
Ingrid Mattsson and
Johan Lyhagen
International Regional Science Review, 2025, vol. 48, issue 1, 38-61
Abstract:
In this paper, we introduce a new way of modeling spatial regimes using smooth transitions. We propose an autoregressive spatial lag model where a logistic function captures structural variation in the spatial lag parameter. In the regime-switching spatial lag model with smooth transitions, the effect of the spatial neighbors depends on the transition variable that governs the regime switch. An LM test for detecting nonlinearity is derived, and a simulation study, where the properties of the test are investigated, is conducted. The test shows good power in relatively small samples with moderate deviation from linearity. An empirical application is included, where data on median house prices from the Boston area is used to explore the spatial dependence between census tracts. A smooth shift between regimes governed by the variable property tax rate is found. The smooth spatial lag model performs slightly better than the regular spatial lag model in terms of model fit and capturing spatial dependence.
Keywords: spatial heterogeneity; spatial econometrics; spatial dependence; regime switching models (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/01600176241237180 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:48:y:2025:i:1:p:38-61
DOI: 10.1177/01600176241237180
Access Statistics for this article
More articles in International Regional Science Review
Bibliographic data for series maintained by SAGE Publications ().