Heteroscedasticity: plotResiduals vs archtest

I know that one can use ' plotResiduals(mdl, 'fitted')' to check the presence of heteroscedasticity in the residuals. Wondering if ' archtest' function in econometric toolbox will give the same outcome if the same set of results are used?

Answer 1

[Star Strider]

Using the ARCH or GARCH tests depends on what your hypotheses are. I refer you to Box, et al., Time Series Analysis 5th edition, 2016, Section 10.2, ISBN 978-1-118-67502-1. This is something only you can determine, based on your data and what hypotheses you want to test. Also, you’re doing a meta-analysis, with different data sources, so the assumptions of these tests may not apply to your data.

I have the reference, so I scanned that section to see if I could offer some substantive guidance. (I can’t.) I’m not familiar with any of these, because they don’t normally apply to the sort of data I’ve worked with (that tend to be homoscedastic). (I also don’t have the Econometrics Toolbox, since I don’t do econometric analyses, so I have no experience with the functions.)

[wesleynotwise]

I don't have the econometric Toolbox, too.

As ARCH is from the econometric toolbox, I doubt if it works like the 'plotResiduals' in the Stat toolbox, and thus the question arises. Anyway, I've concluded that it is not suitable for my case. Thanks for the clarification.

[Star Strider]

My pleasure.