Work

Causal Inference With Spatial Econometric Models: Challenges and Applications for Epidemiologic Research

Year: 2025

Type: article

Abstract: ABSTRACT Spatial econometric models have become very popular in recent years and have started to make their appearance in geospatial studies of health outcomes. Although explicit or implicit causal claims are widely made using these models, this article demonstrates with the use of causal graphs why causal vocabulary should be avoided. The article first introduces spatial causal inference from an epidemiologic perspective and then presents the challenges in the application of these specifications using this framework. Further implications and modeling options are discussed.

Source: Geographical Analysis

DOI: 10.1111/gean.70010

Author: Konstantinos Christopoulos

Institution: University of Ioannina

Language: English

Topic: Spatial and Panel Data Analysis

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,760