## 16 Feb Chapter 3 – Poisson and Negative Binomial Regression in Stata

Poisson and Negative Binomial Regression is uses for the instances where the dependent variable is number of events instead of intensity of the event....

Poisson and Negative Binomial Regression is uses for the instances where the dependent variable is number of events instead of intensity of the event....

For some cases time series data is needed to be reshaped in order to estimate panel data models, Stata provide a method which can reshape the data....

SEM builder is a module provided in new versions of Stata which is competitor to AMOS of SPSS where simultaneous equations can be estimated using diagrams....

This tutorial will show you the advanced simultaneous models using the SEM module of Stata...

The new versions of Stata are now available with the module of Simultaneous equation models in competition with the AMOS of SPSS....

Ordered logit and probit models are used for the case when the dependent variable is ordinal. Stata has provided this model for the panel data sets too....

Fixed and Random effect models are used when the data is two dimensional i.e. cross sections and time series dimension. In such case one of the component must be controlled for which there are two approached fixed effect approach and random effect approach....

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

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....

In the case of presence of endogeneity in the model, estimating OLS will provide inconsistent estimates, for this instrumental regression is proposed...