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Counterfactual solutions can be compared with the benchmark solution to estimate the economic impact of the simulated policy or event.
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AD helped conceive the problem, develop the solution, provided insight into counterfactual machines, carried out the simulation studies, developed the methods for interaction detection and drafted the manuscript.
As with any counterfactual, reaching a conclusive answer is difficult.
Strand and Oftedal [2013] present one possible solution to this problem for counterfactual accounts of causation.
JDM helped conceive the problem, develop the solution, discovered the idea of counterfactual machines, and helped draft the manuscript.
The flagrantly ideological nature of "structural deficits" results from its three basic flaws: 1) arbitrariness in defining what are one-off and temporary measures in the calculation, 2) subjectivity in calculating the counterfactual maximum employment, and 3) irrelevance of the calculation even if solutions were found for the other two flaws.
The structural account offers a novel solution to the problem of over-determination (which has plagued counterfactual theories).
The main difficulty with this solution is that it is difficult to uniquely, and sometimes even approximately, pin down one's counterfactual confidences.
Counterfactual history is tricky.
Everyone loves a counterfactual, right?
This is the harder counterfactual question.
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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