A COMPARISON OF SOME ESTIMATION METHODS FOR HANDLING OMITTED VARIABLES : A SIMULATION STUDY
Omitted variable problem is a primary statistical challenge in various observational studies. Failure to control for the omitted variable bias in any regression analysis can alter the efficiency of results obtained. The purpose of this study is to compare the performance of four estimation methods (...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Statistiska institutionen
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412896 |