Do you think it would be feasible to use matched controls?
You could match companies that have been targeted to those that have not (at a given point in time?), but as has been discussed elsewhere, there are spillover effects. At least it could give you some kind of lower bound. It might be difficult to find matches this way, though, since I suspect companies are targeted based on common characteristics.
Or you could match countries or geographic regions. Maybe Canada, given shared values and the influence the US has on it? Of course, many of these campaigns were for international companies, and there could be spillover effects from the US to Canada, too. Since Canada is more progressive overall, it could make sense to reweight its provinces. I haven’t been able to find very reliable sources for Canadian farm animal statistics, though.
Do you think it would be feasible to use matched controls?
You could match companies that have been targeted to those that have not (at a given point in time?), but as has been discussed elsewhere, there are spillover effects. At least it could give you some kind of lower bound. It might be difficult to find matches this way, though, since I suspect companies are targeted based on common characteristics.
Or you could match countries or geographic regions. Maybe Canada, given shared values and the influence the US has on it? Of course, many of these campaigns were for international companies, and there could be spillover effects from the US to Canada, too. Since Canada is more progressive overall, it could make sense to reweight its provinces. I haven’t been able to find very reliable sources for Canadian farm animal statistics, though.