Simple Tests for Selection: Learning More from Instrumental Variables
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- Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).
- Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
- Dan A. Black & Joonhwi Joo & Robert LaLonde & Jeffrey A. Smith & Evan J. Taylor, 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," NBER Working Papers 30291, National Bureau of Economic Research, Inc.
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Citations
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Cited by:
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- Smith, Jeffrey A., 2022. "Treatment Effect Heterogeneity," IZA Discussion Papers 15151, Institute of Labor Economics (IZA).
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Working Papers
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- Tarek Azzam & Michael Bates & David Fairris, 2020. "Do Learning Communities Increase First Year College Retention? Testing Sample Selection and External Validity of Randomized Control Trials," Working Papers 202022, University of California at Riverside, Department of Economics, revised Jul 2020.
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More about this item
Keywords
instrumental variable; local average treatment effect; selection; test;All these keywords.
JEL classification:
- C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2017-11-19 (Econometrics)
Statistics
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