RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.
This article describes a simple scenario where defining an instrumental variable is helpful for computing calibration weights (i.e., weights that satisfy the specified calibration equation yet are asymptotically identical to the inverse selection probabilities). The implicit model is simple regression with an intercept. The choice of instrumental variable can reduce the possibility that any calibration weight will be less than one.
RTI shares its evidence-based research - through peer-reviewed publications and media - to ensure that it is accessible for others to build on, in line with our mission and scientific standards.