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 paper explores the use of post-stratification to compensate for the unit nonresponse in the 1987 U.S. Characteristics of Business Owners (CBO) Survey. As is often the case, post-stratification leads to estimators with desirable properties under both a quasi-random (response) and a parametric (superpopulation) model. Some care is necessary in setting up these simple models because the CBO is a survey both of firm characteristics and of the characteristics of firm owners. Variance estimation methods are proposed that measure parametric model variance and quasi-design mean squared error simultaneously even when finite population correction cannot be ignored.