1. Let's Take the Bias Out of Econometrics
- Author:
- Duo Qin
- Publication Date:
- 12-2016
- Content Type:
- Working Paper
- Institution:
- School of Oriental and African Studies - University of London
- Abstract:
- This study exposes the cognitive flaws of ‘endogeneity bias’. It reviews how conceptualisation of the bias has evolved to embrace all major econometric problems, despite extensive lack of hard evidence. It reveals the crux of the bias – a priori rejection of causal variables as conditionally valid ones, and of the bias correction by consistent estimators – modification of those variables by non-uniquely and non-causally generated regressors. It traces the flaws to misconceived error terms in statistical modelling and estimation consistency. It highlights the need to shake off the bias to let statistical learning play an active and formal role in econometrics.
- Topic:
- Economics, Economic Theory, Models, and Bias
- Political Geography:
- Global Focus