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Welcome to Econistics.com video tutorial blog where you can find video learning tutorials for many statistical software packages for your research projects or thesis.
eviews, spss, microfit, stata, latex, data analysis
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# Blog

## 02 DecChapter 1 – Inserting and Removing citations from the Endnote library

Endnote is very useful software when it comes to manage too many resources which are quoted in a research or literary work....

## 01 DecChapter 1 – Importing data into SAS

Following video will guide you in regard of importing information into the SAS software so that further analysis can be done....

## 30 NovChapter 4 – Stepwise Regression using SPSS

Stepwise regression can be useful tool in the case of multicollinearity in the data and this method is available in SPSS...

## 29 NovChapter 4 – Seemingly Unrelated Regression in SAS

Seemingly unrelated regression will be used for the case when the estimations are inter-related to each other and it can be done in SAS software...

## 28 NovChapter 4 Seeming Unrelated Regression in R

R language can be use to estimate the seemingly unrelated regression for the case of inter-related equations....

## 27 NovChapter 4 – Seeming Unrelated Regression in Stata

SURE regression is used for the case of the inter-related regression, it is also called simultaneous regression or structure equation model...

## 26 NovSeemingly Unrelated Regressions SURE / Simultaneous Equation Model SEM

Following video illustrated the example of SEM / SURE model proposed by Zelner...

## 25 NovChapter 4 – Instrumental variable regression in SAS

SAS provides package for instrumental regression which is an alternative for the OLS model in the presence of endogeneity....

## 24 NovChapter 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....

## 23 NovChapter 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....