Hello guys,
im doing robustnes checks for my logit regression model. So for example im doing the same regression just with modified variables (without year/firm fixed effects, unwinsorized variables etc.). My problem is, that the significance level increases for the model which doesn't consider fixed effects and also for the model with unwinsorized variables. This seems very odd to me since the fixed effects and winsorization should improve my results. Do you have any idea why this is the case?
Kind regards
Leo
im doing robustnes checks for my logit regression model. So for example im doing the same regression just with modified variables (without year/firm fixed effects, unwinsorized variables etc.). My problem is, that the significance level increases for the model which doesn't consider fixed effects and also for the model with unwinsorized variables. This seems very odd to me since the fixed effects and winsorization should improve my results. Do you have any idea why this is the case?
Kind regards
Leo
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