ScholarGate
Assistente

Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Séries Temporais Interrompidas Espaciais×Análise de Impacto Causal Espacial×
ÁreaInferência causalInferência causal
FamíliaRegression modelRegression model
Ano de origem1990s–2000s2010s (codified)
Autor originalExtension of McDowall et al. (1980) ITS framework; spatial adaptations developed in epidemiology and geography through the 1990s–2000sDelgado & Florax (spatial DiD); Halleck Vega & Elhorst (SLX model); broader lineage in spatial econometrics (Anselin, 1988)
TipoQuasi-experimental causal inference with spatial adjustmentQuasi-experimental causal inference with spatial data
Fonte seminalMcDowall, D., McCleary, R., Meidinger, E. E., & Hay, R. A. (1980). Interrupted Time Series Analysis. Sage Publications. ISBN: 978-0803913950Delgado, M. S., & Florax, R. J. G. M. (2015). Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction. Economics Letters, 137, 123-126. DOI ↗
Outros nomesSpatial ITS, Geospatial ITS, Spatially-adjusted ITS, SITSspatial causal inference, geo-causal analysis, spatial treatment effect estimation, spatial impact evaluation
Relacionados64
ResumoSpatial Interrupted Time Series (Spatial ITS) extends the classic ITS design to settings where units are geo-referenced and outcomes in one location may spill over into or correlate with outcomes in neighbouring locations. It estimates the causal effect of a discrete intervention on an outcome time series while explicitly modelling geographic autocorrelation, preventing biased standard errors and enabling detection of spatial spillovers.Spatial causal impact analysis estimates the causal effect of a spatially-targeted intervention — a policy, shock, or treatment applied to particular locations — while explicitly accounting for geographic spillovers between treated and untreated units. By combining quasi-experimental designs such as difference-in-differences or regression discontinuity with spatial econometric models, it separates the direct local effect of a treatment from indirect effects that diffuse to neighbouring areas.
ScholarGateConjunto de dados
  1. v1
  2. 2 Fontes
  3. PUBLISHED
  1. v1
  2. 2 Fontes
  3. PUBLISHED

Ir para a pesquisa Baixar slides

ScholarGateComparar métodos: Spatial Interrupted Time Series · Spatial Causal Impact Analysis. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare