Dear Statalist,
The topic of my thesis is "How firm specific characteristics affect a firm's Cash holding".
In order to regress the characteristics with the dependent variable Cash Holding, I would like to do a Fixed and Ramdom effects test.
However due to a normality problem and a problem with heteroskedasticity the literature recommends to do a wild bootstrap and I have a few questions regarding that method.
How do you do that in Stata?
Is a cluster variable necessary and if so in which situations?
How many replications should I do?
When do you use the options "Supress replication dots" "Use MSE formula for variance" and "Compute for BCa Cls"?
I hope someone has the time to help me with this.
Thank you in advance
Related Posts with Wild bootstrap Fixed and Random effects model.
Drop row where value is lower than another for a specific columnHi all, I am looking to clean a data set I have. I think what I want to achieve should only take a f…
Making inference on marginal effect or coefficient estimates in ProbitDo we make inferences on marginal effects or coefficient estimates in a Probit model? I am asking be…
Coefplot for balance tests using rdrobustI'm trying to plot the coefficients of rdrobust estimates using coefplot: Here is what I'm trying to…
Descriptive statistics: add percentages to summary statistics (matrix)Hi Statalisters, I have a question with regards to descriptive statistics. I have been working on a…
Generating variables recording the properties of other variablesHi all, I'm a beginner of Stata user. I'm struggling with my dataset. I have four variables: househo…
Subscribe to:
Post Comments (Atom)
0 Response to Wild bootstrap Fixed and Random effects model.
Post a Comment