Have you looked at the main plots? They're terribly noisy. And because of the difference-in-difference design, a pretty strong covariate for adult suicide (econ

Have you looked at the main plots? They're terribly noisy. And because of the difference-in-difference design, a pretty strong covariate for adult suicide (economy / labour participation) is not taken into account. Take perspective of the modeller. What would be the first circle of influence in teen suicide? Probably direct social interactions (family, peers). Second circle? More abstract things like succes in school, relationships, the absence of bullying. For a regulatory change to have a meaningfull and measurable effect on suicides (literally the most drastic step available) is hard on first sight. And then the step to research design. How would one expect to find a determinating factor by a DiD-design with only some regulatory measure as an explanatory factor? For me, after looking into this study. First explain me the state by state differences in teen suicides over time adequately, before you start explaining the effect of gay marriage on teen suicides.