Longitudinal Propensity Score Matching: A Demonstration of Counterfactual Conditions Adjusted for Longitudinal Clustering

Given the challenges of conducting experimental studies in criminology and criminal justice, propensity score matching (PSM) represents one of the most commonly used techniques for evaluating the efficacy of treatment conditions on future behavior. Nevertheless, current iterations of PSM fail to adj...

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Detalles Bibliográficos
Autor principal: Silver, Ian A. (Autor)
Otros Autores: Wooldredge, John ; Nedelec, Joseph L. ; Sullivan, Christopher J.
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: [2021]
En: Journal of quantitative criminology
Año: 2021, Volumen: 37, Número: 1, Páginas: 267-301
Acceso en línea: Volltext (lizenzpflichtig)
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Palabras clave:
Evaluation of programs
Longitudinal clustering
Longitudinal data
Longitudinal propensity score matching
Descripción
Sumario:Given the challenges of conducting experimental studies in criminology and criminal justice, propensity score matching (PSM) represents one of the most commonly used techniques for evaluating the efficacy of treatment conditions on future behavior. Nevertheless, current iterations of PSM fail to adjust for the effects of longitudinal clustering on participant exposure to treatment conditions. The current study presents and evaluates longitudinal PSM (LPSM) as an alternative method for assessing the effects of a treatment condition on future behavior. LPSM adjusts for the effects of longitudinal clustering (i.e., clustered error) by assuming that the association between a cross-sectional predictor and a treatment condition varies depending upon the time at which the treatment was administered.
ISSN:1573-7799
DOI:10.1007/s10940-020-09455-9