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FAQs about Panel Data Stata $70,000 jobs - Indeed Coupon?

What is panel data in Stata?

Panel data refers to data that follows a cross section over time—for example, a sample of individuals surveyed repeatedly for a number of years or data for all 50 states for all Census years. • reshape There are many ways to organize panel data. Stata can easily go back and forth between the two types using the reshape command. ...

Which of Stata's commands should I use for panel data?

You do not write which of Stata's commands you use. If you have panel data, you may want to use the panel Granger (non-)causality test by Dumitrescu/Hurlin (2012), implemented in Stata's user contributed command xtgcause and in R's plm package as pgrangertest. Below is an example of how to use pgrangertest with the Grunfeld dataset in R. ...

Does Stata offer gamma-distributed frailty?

Stata offers gamma- or inverse-Gaussian-distributed frailty for parametric models, and gamma-distributed frailty for semiparametric models; see the manual entries [ST] streg and [ST] stcox. Panel-data random effects are assumed to be normally distributed and are available with parametric survival models. ...

Are panel-data's normal random effects a plausible assumption?

Panel-data's normal random effects are a more plausible assumption. They are equivalent to lognormal frailties. Stata provides two commands, xtstreg and mestreg, for fitting parametric survival models with panel-data. ...