[Clyde Schechter]

For information about the uses and abuses of p-values, I highly recommend the American Statistical Association's position paper on this issue:

To cite this article: Ronald L. Wasserstein & Nicole A. Lazar (2016): The ASA's
statement on p-values: context, process, and purpose, The American Statistician, DOI:
10.1080/00031305.2016.1154108

whih you can find at this link:
http://dx.doi.org/10.1080/00031305.2016.1154108

There are a number of supporting papers that the position paper relies on, linked to within the position paper, and if you have time to read them, they also are all interesting and worthwhile.

[Dejan Tesic]

Dear Clyde,

thank you once again, article is highly informative and helpful.

[Nursena Sagir]

Dear Clyde Schechter ,

Could you please elaborate on your answer below? I have unevenly spaced panel data on a weekly basis and I am using GMM model with lags of both dependent and independent variables. How it ca be harmful for my analysis? Can I solve my problem by creating variable like wave or round?

That depends on what specific analysis you want to do. If you wanted to fit models with autoregressive correlation structure, you won't be able to do that with irregularly spaced data. And analyses involving lags and leads of variables will be problematic as well. But for most other kinds of panel data analysis there will be no problem.

Best regards,
Nursena

[Carlo Lazzaro]

Dejan:
1) https://www.tandfonline.com/doi/full...5.2016.1154108
2) https://www.amstat.org/asa/files/pdf...estatement.pdf
3) https://www.amstat.org/asa/News/ASA-...000-Times.aspx
4) https://errorstatistics.com/2019/06/...-dont-say-what
5) https://errorstatistics.com/2022/01/...-of-statistics

PS Late reply to Dejan's post #15. I did not notice that this was a two-page thread.