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of group-level unobservables, standard quantile regression techniques are inconsistent in our setting even if the …, consisting of group-by-group quantile regression followed by two-stage least squares. Using the Bahadur representation of …
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Treatment effect estimates in regression discontinuity (RD) designs are often sensitive to the choice of bandwidth and … polynomial order, the two important ingredients of widely used local regression methods. While Imbens and Kalyanaraman (2012) and … of the local regression RD estimator as the criterion to guide polynomial order selection. We show in Monte Carlo …
Persistent link: https://www.econbiz.de/10013312317
We consider a linear panel event-study design in which unobserved confounds may be related both to the outcome and to the policy variable of interest. We provide sufficient conditions to identify the causal effect of the policy by exploiting covariates related to the policy only through the...
Persistent link: https://www.econbiz.de/10012920350
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Structural econometric methods are often criticized for being sensitive to functional form assumptions. We study parametric estimators of the local average treatment effect (LATE) derived from a widely used class of latent threshold crossing models and show they yield LATE estimates...
Persistent link: https://www.econbiz.de/10012922224
We investigate whether local average treatment effects (LATE's) can be extrapolated to new settings. We extend the analysis and framework of Dehejia, Pop-Eleches, and Samii (2015), which examines the external validity of the Angrist-Evans (1998) reduced-form natural experiment of having two...
Persistent link: https://www.econbiz.de/10013013180
Instrumental variables (IV) are a common means to identify treatment effects. But standard IV methods do not allow us to unpack the complex treatment effects that arise when a treatment and its outcome together cause a second outcome of interest. For example, IV methods have been used to show...
Persistent link: https://www.econbiz.de/10012960515
We explore a key underlying assumption, the exclusion restriction, commonly used in interpreting IV estimates in the presence of heterogenous treatment effects as a local average treatment effect (LATE). We show through a series of simple examples that in some commonly featured cases that this...
Persistent link: https://www.econbiz.de/10013018725