Abstract
This paper introduces the conditional likelihood estimator of relative risk (CLERR). The CLERR estimates the relative risk of an outcome analogously to the way the conditional logit estimates an odds ratio. Aside from the fact that relative risk is often the preferred measure of association, the CLERR has superior statistical properties, including both unbiasedness and effciency in small and large samples. The CLERR can be thought of as an exact matching approach which allows estimation of treatment effects for binary outcomes, without the need for structural assumptions about the in influence of confounding variables. We apply the CLERR to World Bank's Enterprise Survey data and show that firms with female owners are signifcantly more likely to export than similar firms with only male owners.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
