I want to conduct a Difference-in-Differences (DiD) design study. I have two groups that I want to keep equal regarding certain variables: sex, age_group, education, income, ideology, and identity. Matching would be the ideal method, but I cannot afford to lose observations since I already have few. Instead, I thought of weighting respondents by these same variables. My idea is to examine the distribution of my whole sample and ensure that the distribution of these variables is “equal” in both groups.