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Private medical expenditures with an east regional dummy: We also use an east regional dummy variable in the context of assessments of private medical expenditures.
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From the coefficients of year dummies, we also observe that males accumulate body mass faster than females.
To quantify the estimated effect of the dummy "Year 2003" we also calculated the predicted probabilities for the five categories (and the standard errors of these probabilities using the Delta method) conditional on the observed characteristics of specification 1, using a "representative" individual who is male, left-wing, and has got A-level or O-level qualification.
We also dummy-coded whether the information was given for breast cancer (= 1) or heart disease (= 0).
Finally, we also include industry dummy variables and year dummy variables to control for the disturbances caused by sectoral factors and business cycles.
In addition, we also include dummy variables for industry type, proportion of female employees, and average revenue per capita.
We also add dummy variables for the quintiles of housing price appreciation for the 2000 2006 period interacted with calendar month dummy variables.
We also included dummy variables for each of the counties.
We also incorporated dummy variables for each of the school systems.
We also included dummy variables for the day of the week effect, holidays, and influenza epidemics.
We also included dummy variables for the day of the week effect and holidays.
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CEO of Professional Science Editing for Scientists @ prosciediting.com