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However, baseline estimation is required for computing predicted risk-free probability to estimate Brier score, and different methods used could result in different Brier scores.
We weight our inversion according to the estimated variance of each interferogram, and assume that any uncertainties in baseline estimation are much lower in magnitude than atmospheric contributions.
We simple repeat our baseline estimation excluding Norway.
Compared to our baseline estimation, returns to schooling and health remain basically unchanged.
We compared model fit statistics to a null model as a baseline estimation method.
Returns on schooling and cognitive skills remain almost unchanged compared to our baseline estimation.
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In the baseline estimations, Ri is a dummy which indicates that the individual is a returnee.
First, we present the baseline estimations of the correlations between own and parental educational achievement, comparing them to the empirical evidence available for other regions, countries and datasets.
Models for baseline estimations range from relatively simple extrapolations of past trends in land use to more complex extrapolations of past trends using spatially explicit models of land-use change driven by biophysical and socioeconomic factors [20].
This allows for a margin of error of 15% (or in the extreme case where individual wages are underestimated and hours of work overestimated, a − 7.5% margin of error for wages and + 7.5% margin of error for hours of work).9 Second, we confirm the validity of the baseline estimations with LFS using alternative datasets.
Models for baseline estimations range from relatively simple extrapolations of past trends in land use to more complex extrapolations of past trends using spatially explicit models of land-use change driven by biophysical and socioeconomic factors [ 20].
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