The phrase "a dummy variable for the" is correct and usable in written English.
It is typically used in statistical or econometric contexts to refer to a variable that takes on values of 0 or 1 to indicate the presence or absence of a categorical effect.
Example: "In the regression model, we included a dummy variable for the gender of the participants to analyze its impact on the outcome."
Alternatives: "a binary variable for the" or "a categorical variable for the".
hInteraction terms for recruitment strategies and a dummy variable for the status of internationalization are not reported for reasons of space.
In addition, a dummy variable for the abolishment of the EU milk quota in April 2015 were added but found to be of no significance.
Thus, the use of a dummy variable for the HPL may allow us to avoid discriminating between these policy effects and each unobserved yearly effect.
In order to account for this, we add a dummy variable for the post accession period and interact it with the sending country-dummies.
As a Quandt-Andrews breakpoint testd suggests a structural break in the time series starting at 1991, each of the explanatory variables is multiplied by a dummy variable for the years 1970 1990 (PRE-UNIFICATION) and a dummy variable for the period 1991 2011 (POST-UNIFICATION).
Controls are: population growth, the change in the unemployment rate, the change in the share of males aged 15 39 and a dummy variable for the 33 London boroughs.
***p < 0.01 The list of instruments includes a dummy variable for whether the individual is the household head and the number of fatalities due to civil or social conflicts in Abidjan for when the individual was 24 years old (source: ACLED 2013).
***p < 0.01 The list of instruments includes a dummy variable for whether the individual is the household head and real GDP par capita growth in France for when the individual is 24 yearsold (source: World Bank, 2015).
Explanatory variables to be included at the second level are a dummy variable for whether the participant is in the intervention group or control group; functional status; cognitive impairment; demographic data (gender, ethnicity, race, age, duration of stay in a nursing home); co-morbid conditions; and the use of psychoactive medications.
We also use a dummy variable for whether the migrant is a member of a trade union in the host country.
Estimation results are presented in Tables 2, 3, and 4. Table 2 (respectively Table 3) displays the results of the regressions of our eleven dependent variables on a dummy variable for whether the respondent is a migrant in France (resp. Côte d'Ivoire).
