- The model should be grounded in cogent economic reasoning
- The functional form chosen for each variable in the regression should be appropriate given the nature of the variables
- The model should be parsimonious
- Validate the regression model assumptions before accepting them
- Apply the model using out-of-sample observations
When you are constantly in the realm of cutting edge technology, blog your message out might reminds you in the future how foolish those technologies can be.
(Also, One of the many silly KLSE blog, :P)
Hey Read This, this blog is purely representing the perspective of a nerdy geek and please don't take the contents too serious. For professional advices, please contact me personally :)
Saturday, March 29, 2008
Regression Model Specification Principles
Model specification refers to the set of variables included in the regression and the regression equation's functional form. The principles below cal guide model specification:
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