BJ Data Tech Solution

Specialized on Data processing, Data management Implementation plan, Data Collection tools - electronic and paper base, Data cleaning specifications, Data extraction, Data transformation, Data load, Analytical Datasets, and Data analysis. BJ Data Tech Solutions teaches on design and developing Electronic Data Collection Tools using CSPro, and STATA commands for data manipulation. Setting up Data Management systems using modern data technologies such as Relational Databases, C#, PHP and Android.

Tuesday, May 25, 2021

How to adjust standard errors using wild t-bootstrapping?

I am running some regressions with number of clusters 29. I believe due to low number of clusters I need to adjust standard errors using wild t-bootstrapping following Cameron et al. (2008).

Note that I don't need Wild test bootstrap, I need to adjust standard errors. I am using Stata 16.

Any suggestions how to do this in Stata? Any suggested codes?

BJ Data Tech Solution

Tuesday, May 25, 2021

How to adjust standard errors using wild t-bootstrapping?

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