Dear Stata Users,

I intend to study the relationship between ethnicity and COVID-19 on income.

I conduct a log-linear regression with the log of income as the dependent as follows...

Code:
reg LOGNETINCOME MIXED INDIAN PAKISTANI BANGLADESHI CHINESE OTHER_ASIAN BLACK OTHER COVIDDEATHSBYPOP c.COVIDDEATHSBYPOP##i.MIXED c.COVIDDEATHSBYPOP##i.INDIAN c.COVIDDEATHSBYPOP##i.PAKISTANI c.COVIDDEATHSBYPOP##i.BANGLADESHI c.COVIDDEATHSBYPOP##i.CHINESE c.COVIDDEATHSBYPOP##i.OTHER_ASIAN c.COVIDDEATHSBYPOP##i.BLACK c.COVIDDEATHSBYPOP##i.OTHER if FEMALE==0, robust
The regression also includes several other variables, particularly dummy variables (quarter, region, education, industry)

With particular reference to the interaction terms, I am unfortunately struggling to understand their effects therefore I would like to ask...

1) Put simply in words, how does one interpret the interaction between COVID-19 deaths by population (COVIDDEATHSBYPOP) and Ethnic Group?

2) Given the comparatively high (or low in the negative sense) coefficients of the interactions, does this remain possible with the log of income as the y-variable, or have I gone disastrously wrong?

An extract of the regression output is as follows:

LOGNETINCOME_________________Coef. Std. Err. t P>|t| [95% Conf. Interval]
INDIAN#c.COVIDDEATHSBYPOP_ . 157.1472 58.63142 2.68 0.007 42.2305 272.0638
INDIAN _______________________-.0268082 .0246202 -1.09 0.276 -.0750634 .0214471
COVIDDEATHSBYPOP___________58.12169 29.31941 1.98 0.047 .6561067 115.5873

Apologies if any issues have been made in the posting procedure...rookie mistakes I'm sure.

Thanks for any help!

I appreciate your time.

Regards,

Sandeep.