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ABSTRACT I show that constrained monotone instrumental variable estimators are asymptotically equivalent to their unconstrained counterparts whenever the true regression function is in the interior of the constrained set. In… Click to show full abstract
ABSTRACT I show that constrained monotone instrumental variable estimators are asymptotically equivalent to their unconstrained counterparts whenever the true regression function is in the interior of the constrained set. In a simulation study, a sieve-based constrained estimator is shown to outperform the unconstrained one even in cases where both are asymptotically equivalent.
Keywords:
note asymptotic;
instrumental variable;
asymptotic properties;
constraint matter;
constraint;
matter note
Journal Title: Applied Economics Letters
Year Published: 2018
Link to full text (if available)
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Journal Title: Applied Economics Letters
Year Published: 2018
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!