Regression model
Local Average Treatment Effect (LATE / CACE)
The Local Average Treatment Effect is an instrumental-variable estimand, introduced by Imbens and Angrist (1994) and formalised with Rubin (1996), that recovers the average treatment effect for the subpopulation of compliers — units whose treatment status is actually moved by the instrument. It is closely tied to compliance analysis.
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Sources
- Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI: 10.2307/2951620 ↗
- Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996). Identification of Causal Effects Using Instrumental Variables. Journal of the American Statistical Association, 91(434), 444-455. DOI: 10.1080/01621459.1996.10476902 ↗
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Bayesian Fuzzy Regression DiscontinuityBayesian Regression Discontinuity DesignFuzzy Regression DiscontinuityFuzzy Regression Discontinuity in Education ResearchHeterogeneous Treatment Effect Fuzzy Regression DiscontinuityHeterogeneous treatment effect Instrumental variablesHeterogeneous Treatment Effect Regression Discontinuity DesignInstrumental Variables in Education ResearchMatching MethodsPolicy Evaluation Instrumental VariablesRobust Fuzzy Regression DiscontinuitySensitivity Analysis for Unmeasured ConfoundingTwo-Stage Least Squares (2SLS)