Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Fitxers

704127.pdf (573.26 KB)

Tipus de document

Article

Versió

Versió acceptada

Data de publicació

2020-04-01

Tots els drets reservats

Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/172206

Estimating Causal Effects in Linear Regression Models With Observational Data: The Instrumental Variables Regression Model

Títol de la revista

Autors

Director/Tutor

ISSN de la revista

Títol del volum

Recurs relacionat

https://doi.org/10.1037/met0000226

Resum

Instrumental variable methods are an underutilized tool to enhance causal inference in psychology. By way of incorporating predictors of the predictors (called "instruments" in the econometrics literature) into the model, instrumental variable regression (IVR) is able to draw causal inferences of a predictor on an outcome. We show that by regressing the outcome y on the predictors x and the predictors on the instruments, and modeling correlated disturbance terms between the predictor and outcome, causal inferences can be drawn on y on x if the IVR model cannot be rejected in a structural equation framework. We provide a tutorial on how to apply this model using ML estimation as implemented in structural equation modeling (SEM) software. We additionally provide code to identify instruments given a theoretical model, to select the best subset of instruments when more than necessary are available, and we guide researchers on how to apply this model using SEM. Finally, we demonstrate how the IVR model can be estimated using a number of estimators developed in econometrics

Matèries

Inferència, Psicologia, Econometria

Matèries (anglès)

Inference, Psychology, Econometrics

Citació

Col·leccions

Articles publicats en revistes (Psicologia Clínica i Psicobiologia)

Citació

MAYDEU, Alberto, SHI, Dexin and FAIRCHILD, Amanda J. Estimating Causal Effects in Linear Regression Models With Observational Data: The Instrumental Variables Regression Model. Psychological Methods. 2020. Vol. 25, num. 2, pags. 243-258. ISSN 1082-989X. [consulted: 19 of August of 2026]. Available at: https://hdl.handle.net/2445/172206

Exportar metadades

JSON - METS

Compartir registre