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To that aim, we define new estimation samples and outcome variables.30 The results are reported in Table 11.
The predictive accuracy of the models increases when more recent data are used in the estimation samples.
Even if interest centers on the impacts of immigration on the entire Northern labor force, there is as an argument for excluding immigrants from the estimation samples.
Also, because of the varying estimation samples it is difficult to present nested models with equal number of observations for each estimated specification when exploiting multiply imputed data.
The estimated effects of military conscription on (log) annual earnings are shown in Table 3 using the same models and estimation samples as in Table 2.
The prominence of adjustments along this margin also raises the possibility that both the annual and weekly wage estimates understate the true impact of Southern immigration, which may have caused some natives to exit the labor force, and consequently, my estimation samples.
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Predictions in the validation process were made based on parameters estimated from estimation sample.
The coefficients of each morbidity group within the selected indices were estimated from the estimation sample.
To control for possible non random selection of individuals into the estimation sample, we also estimate a sample selection equation.
Panel-A of Table 12 shows predictive accuracy of re-estimated models is higher than original model on estimation sample.
It is estimated using the total CEX data set, not only our estimation sample.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com