Chapter 4 Estimating Ridge Regression in Statgraphics
Ridge regression is used as an alternative model in the case when there is presence of multicollinearity in the model.
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Chapter 4 – TSLS Regression in R
TSLS is two stage least square regression method in R software package which can be used instead of inconsistent OLS model if there is endogeneity in the model.
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Chapter 4 – 2SLS Regression in Gretl
Instrumental regression is used in the instance where model has endogeneity which makes OLS estimates inconsistent.
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chapter 4 – Estimating Ordered Logit / Probit models in Stata
When the dependent variable in the regression is qualitative with two categories and specially it is ordered, in such case ordered logit and probit models are preferred over the OLS model.
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Chapter 4 – Instrumental Variable Regression in Stata
In the case of presence of endogeneity in the model, estimating OLS will provide inconsistent estimates, for this instrumental regression is proposed
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Chapter 4 – Multinomial Logit and Probit Model in Stata
Stata is very handy package for helping in advanced regression modules. Multinomial model is used in the instances when the dependent variable is qualitative and more than binomial for instance it has 3 qualities which are quantified in terms of numbers.
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Chapter 1 – How to generate variables
Following video shows that how to generate new variables in Stata. This way arithmetical operations can be done on the variables to make new.
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Theoretical concept of endogeneity
Endogeneity is a complex issue as compared to other problems that regression can have, so it required advanced methods to detect this issue.
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Chapter 4 – Estimating Logit Probit Models in Stata
These are proposed models for the case when dependent variable is qualitative. It fits a non linear equation to the data.
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Chapter 3 – Discriminant Analysis using SPSS
SPSS provides a wide array of cross sectional based tests including discriminant analysis.
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