Black, Dan A. <br/><br/>
Simple Tests for Selection:  Learning More from Instrumental Variables / 
Dan A. Black, Joonhwi Joo, Robert LaLonde, Jeffrey A. Smith, Evan J. Taylor. 
 - Cambridge, Mass.  National Bureau of Economic Research  2022. 
 - 1 online resource:  illustrations (black and white); 
 - NBER working paper series  no. w30291 .
 - Working Paper Series (National Bureau of Economic Research)  no. w30291. .
<br/><br/> July 2022. 
<br/><br/> We provide simple tests for selection on unobserved variables in the Vytlacil-Imbens-Angrist framework for Local Average Treatment Effects (LATEs). Our setup allows researchers not only to test for selection on either or both of the treated and untreated outcomes, but also to assess the magnitude of the selection effect. We show that it applies to the standard binary instrument case, as well as to experiments with imperfect compliance and fuzzy regression discontinuity designs, and we link it to broader discussions regarding instrumental variables. We illustrate the substantive value added by our framework with three empirical applications drawn from the literature. 
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<br/><br/><label>Subjects--Topical Terms: </label><br/>Instrumental Variables (IV) Estimation<br/>Model Evaluation, Validation, and Selection<br/>Field Experiments