Abstract
The short run effect of the financial intermediary development on economic growth is analyzed using an unbalanced panel of 77 countries covering 35 years. Empirical Likelihood (EL) estimation is used and compared to more conventional GMM methods that weight moment conditions equally over the sample. However, if a part of the data is associated with only weak instruments, GMM estimators are subject to considerable small sample bias. EL appropriately re-weights the moment restrictions to deal with that problem. Using EL, we obtain more robust estimates of the effect of financial intermediation on economic growth than GMM.
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.
