RT Article
T1 Longitudinal Propensity Score Matching: A Demonstration of Counterfactual Conditions Adjusted for Longitudinal Clustering
JF Journal of quantitative criminology
VO 37
IS 1
SP 267
OP 301
A1 Silver, Ian A.
A2 Wooldredge, John
A2 Nedelec, Joseph L.
A2 Sullivan, Christopher J.
LA English
YR 2021
UL https://krimdok.uni-tuebingen.de/Record/1760900354
AB 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.
K1 Longitudinal propensity score matching
K1 Longitudinal data
K1 Longitudinal clustering
K1 Evaluation of programs
DO 10.1007/s10940-020-09455-9