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Partial identification of local average treatment effects with an invalid instrument

Flores, Carlos; Flores-Lagunes, Alfonso - In: Journal of business & economic statistics : JBES ; a … 31 (2013) 4, pp. 534-545

Persistent link: https://www.econbiz.de/10010337851

Unconditional quantile treatment effects under endogeneity

Fröhlich, Markus; Melly, Blaise - In: Journal of business & economic statistics : JBES ; a … 31 (2013) 3, pp. 346-357

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Estimating conditional average treatment effects

Abrevaya, Jason; Hsu, Yu-Chin; Lieli, Robert P. - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 4, pp. 485-505

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Efficient estimation of data combination models by the method of auxiliary-to-study tilting (AST)

Graham, Bryan S.; Pinto, Cristine Campos de Xavier; … - In: Journal of business & economic statistics : JBES ; a … 34 (2016) 2, pp. 288-301

Persistent link: https://www.econbiz.de/10011691338

Estimating a continuous treatment model with spillovers : a control function approach

Hoshino, Tadao - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 2, pp. 591-602

Persistent link: https://www.econbiz.de/10015053430

Instrumental variable estimation of dynamic treatment effects on a duration outcome

Beyhum, Jad; Centorrino, Samuele; Florens, Jean-Pierre; … - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 2, pp. 732-742

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Efficient covariate balancing for the local average treatment effect

Heiler, Phillip - In: Journal of business & economic statistics : JBES ; a … 40 (2022) 4, pp. 1569-1582

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High-dimensional model-assisted inference for local average treatment effects with instrumental variables

Sun, Baoluo; Tan, Zhiqiang - In: Journal of business & economic statistics : JBES ; a … 40 (2022) 4, pp. 1732-1744

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Instrument validity tests with causal forests

Farbmacher, Helmut; Guber, Raphael; Klaaßen, Sven - In: Journal of business & economic statistics : JBES ; a … 40 (2022) 2, pp. 605-614

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Identification of Treatment Effects on the Treated with One-Sided Non-Compliance

Frölich, Markus; Melly, Blaise - Institute for the Study of Labor (IZA) - 2008

Traditional instrumental variable estimators do not generally estimate effects for the treated population but for the unobserved population of compliers. They do identify effects for the treated when there is one-sided perfect non-compliance. However, this property is lost when covariates are...

Persistent link: https://www.econbiz.de/10005703090