Regression Diagnostics in STATA

REGESSION DIAGNOSTICS IN STATA

COURSE DESCRIPTION

This course presents and discusses assumptions regarding the Ordinary least-squares (OLS) regression. In particular, the course shows how to test for each assumption using STATA and what to do when an assumption is not met. The course is organized into three modules. Module 1 discusses assumptions regarding the error term, for instance homoskedasticity and normal distribution. Module 2 focuses on model specification and shows how to avoid wrong modelling. For instance, it discusses how to test whether the relationship between Y and X is linear or nonlinear. It also covers multicollinearity and omitted variable.  Module 3 covers influential observations (outliers). The fact that an observation is too small or too large does not necessarily mean it is an outlier. In this module you will get to know to test for influential observations. Finally, the course summarizes how to test for all relevant assumptions with one command. Useful references for regression diagnostics are provided at end of the course. In each module there is an exercise to test your understanding of the topics covered.

INSTRUCTOR PROFILE

Dr. Stephen Zamore is an Associate Professor at the NLA University College, Norway. He obtained his Ph.D and MSc degrees from University of Agder (UiA) and BSc degree from the Kwame Nkrumah University of Science and Technology. He is a Chartered Accountant certified by the Institute of Chartered Accountants in Ghana. His PhD dissertation has been recognized and chosen for the prestigious  2020 Emerald and EFMD Outstanding Doctoral Research Award in the Finance category. He has published articles in Journal of Banking and Finance, Applied Economics, Research in International Business and Finance, Emerging Markets Finance and Trade, Journal of International Development, Journal of African Business, International Journal of Emerging Markets, and International Journal of Financial Services Management. Follow his research at researchgate.

CERTIFICATION

Participants receives course completion certificate from Research HUB upon finishing all lectures and MCQs within 01 to 30 weeks from the enrollment date.

THE COURSE INCLUDES

• 13 on-demand lectures.
• MCQ tests for assessment (+2 retake).
• Full lecture slides.
• Full Stata do-file for all analysis.
• Lifetime access to course resources and updates.

See Payment Options here.

The course contents are subject to copyright. Unauthorized distribution of the course contents will lead to legal actions by Research HUB. The enrolled participants will have lifetime access to the course materials and any future updates. For institutional subscription, contact us at support@researchhub.org.