Comments (1)
franzmohr
commented on August 11, 2024
Thank you. Until the 1.0.0 update prais_winsten produced an object of class "lm" for which methods like coeftest or stargazer are already implemented. The new function produces an object of class "prais" for which those methods have not been implemented yet. The functionality for robust standard errors is planned for the next update.
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Related Issues (14)
- Including categorical variables in the prais.winsten model HOT 2
- Not receiving an R2 HOT 2
- Using collapse to speed up prais? HOT 1
- Return "lm" object from prais_winsten() HOT 2
- Prediction with results from prais-winsten HOT 3
- v1.1.2 Returns Error When Using Lagged Variables HOT 5
- Usage with plm function possible? HOT 4
- Feature request: Add standard errors to predictions
- Feature request: Estimating PW based on plm objects
- Feature request: Dealing with data gaps HOT 1
- Feature request: Publishable regression output HOT 2
- Feature request: Add p-value of the D-W test HOT 1
- Durbin-Watson Statistic
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