Kelis,
thanks for your interest. It's hard to say what exactly goes wrong based
on the information you provide. However, I would recommend that you first
process the data:
- Store all variables as the appropriate types (numeric, factor, etc.)
in the data frame. Then you don't have to put these things into the model
formula.
- Employ variable names without spaces, then you don't have to use
backquotes.
Hopefully, this helps you to resolve the problem.
If the problem persists and you believe that this is an error within
ivreg, please provide a minimal self-contained and reproducible example.
Best regards,
Achim
On Sun, 28 Jan 2024, Kelis Wong wrote:
> Dear John Fox, Christian Kleiber, and Achim Zeileis,
>
> I am attempting to run various independent variable parameters to assess
> their suitability. Unfortunately, I hit a snag and couldn't get the
tests to
> run properly. When I used ivreg, I got an error message saying: "Error
in
> eval(predvars, data, env) : object 'WageInequality' not
found."?
> Can you please help?
> Model: numeric(WageInequality) = numeric(EffectiveMinimum) +
> numeric(EffectiveMinimum2)
> (whereas EffectiveMinimum2 is the quadratic form of EffectiveMinimum)
>
> Instruments: numeric(`Log Real Minimum Wage`) + numeric(`Log Real Minimum
> Wage2`) + numeric(IVinteration)
> (whereas Real Minimum Wage2 is the quadratic form of Real Minimum Wage)
>
> Time and Region Fixed Effects: factor(Region) + numeric(Year) + Region:Year
> (whereas Region:Year is and interaction term of Region and Year)
>
> Control Variables: factor(Region), numeric(`Woman Percentage`),
> numeric(`Noneducated Percentage`)
>
> Parameter 1:
> ivreg(WageInequality ~ EffectiveMinimum + EffectiveMinimum2 + Region | `Log
> Real Minimum Wage` + `Log Real Minimum Wage2` + IVinteration + Region,
> dataset))
>
> Parameter 2:
> ivreg(WageInequality ~ EffectiveMinimum + EffectiveMinimum2 + Region + Year
> + Region:Year | `Log Real Minimum Wage` + `Log Real Minimum Wage2` +
> IVinteration + Region + Year + Region:Year, dataset))
>
> Parameter 3:
> ivreg(WageInequality ~ EffectiveMinimum + EffectiveMinimum2 + Region + Year
> + Region:Year + `Woman Percentage` + `Noneducated Percentage` | `Log Real
> Minimum Wage` + `Log Real Minimum Wage2` + IVinteration + Region + Year +
> Region:Year + `Woman Percentage` + `Noneducated Percentage`, dataset))
>
> --
> Peace,
>
> Kelis Wong
>
>