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This section discusses the results obtained by estimating the models presented above.
Thereby, both papers propose a similar consumer surplus model with the intention in mind to explain observed tariff choice by estimating the models' underlying parameters.
Finally, by estimating the models in both the Belgian and the Dutch sample, we tried to assess the applicability of the model for Belgian and Dutch women.
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The results obtained by estimating the model in equation 5 are reported in Table 8.
This is confirmed by estimating the model on this reduced sample with and without the locus of control variable.
We assess the impact of migration on various dimensions of political attitudes and perceptions by estimating the model using 11 alternative dependent variables.
To alleviate the impact of this possible data-selection bias, our first robustness test is conducted by estimating the model without U.S. and Chinese IPOs.
In Table 5, we further relax our baseline restrictions by estimating the model separately on sub-samples of small and large firms.
I hope to minimize these limitations by estimating the model over one time period, to limit regional and sectoral changes over time, and by disaggregating only by fairly broad geographical and sector boundaries.
We also attempt to correct for the potential bias by estimating the model on first differences, which eliminates the effect of any time-invariant unobserved heterogeneity that jointly affects productivity and wages.
Similar results are obtained by estimating the model with each indicator of regional socioeconomic disadvantage separately.
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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