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Economically, our coefficient estimates imply that U.S. and non-U.S.
Contrary to our full sample findings, our coefficient of interest, GGAAP × GALMA, is non-significant.
Naturally, our coefficient estimates are a weighted average of two regimes, namely the migration regime prior to 2004 and thereafter.
When we exclude them from the regression, our coefficient associated to the business environment becomes quantitatively larger.
As opposed to the findings previously described in the prior literature, our coefficient for LEV indicates a positive association between leverage and voluntary IFRS adoption.
Our coefficient on immigration flows in this model becomes statistically insignificant and reflects a smaller impact of immigration from two years ago than our benchmark model.
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Table 11 presents the results for our coefficients of interest.
We also see substantial changes to our coefficients over the various sub periods.
Our coefficients of interest are those related to subset (i the subset least likely to suffer from misreporting.
In this regression, our coefficients indicate that, on average, a 10% in immigration flows two years ago would have a 0.0056 increase in happiness, on a scale of 0 to 10, holding all other variables in our model constant.
Our coefficients tend to decrease with the width of the body-size range covered by the linear regressions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com