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From the above we can extract three main areas of importance for policy instruments.
In the following, status quo bias will be analyzed in greater detail because of its importance for policy.
Despite their importance for policy, the predictions of the segregation models have not been extensively tested empirically before.
While the effects on students in urban school districts have clear importance for policy, the effects in other settings do as well.
This also takes importance for policy implications given common public policies can have undesired impacts across the different Euro-Area economies.
The motivation of this paper is the scarcity of empirical research about the overall impact of labor market reforms, especially in Belgium, despite their importance for policy making.
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A further result of the work carried out concerned the extraction of data on the remaining coastal stretches, i.e. those not yet affected by urban transformation and thus of extreme importance for policies focused on the preservation of community habitats and the preservation of coastal landscape.
This research can also be of practical importance for health policy makers to initiate CSS insurance coverage or lending programs parallel to decisions for obligatory CSS regulations.
Survey data sets are important sources of data, and their successful exploitation is of key importance for informed policy decision-making.
For this reason, an analysis based on regional disparity is of vital importance for future policy making.
How and why commuting contributes to our well-being is of considerable importance for transportation policy and planning.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com