I would note that the factors I mentioned there don’t seem like they should change things that much for most issues. I could see using 50-100 years rather than, e.g., 150 years as my results would seem to suggest, but I do think 5-10 years is an order of magnitude off.
Could you elaborate on why you think multiplying your results by a factor of 0.5 would be enough? Do you think it would be possible to study the question with empirical data, by looking not only into how much time the policy changes persisted counterfactually, but also into the target outcomes (e.g. number of caged hens for policy around animal welfare standards)? I am guessing this would be much harder, but that there are some questions in this vicinity one could try to answer more empirically to get a sense of how much the persistence estimates you got have to be adjusted downwards.
Could you elaborate on why you think multiplying your results by a factor of 0.5 would be enough? Do you think it would be possible to study the question with empirical data, by looking not only into how much time the policy changes persisted counterfactually, but also into the target outcomes (e.g. number of caged hens for policy around animal welfare standards)? I am guessing this would be much harder, but that there are some questions in this vicinity one could try to answer more empirically to get a sense of how much the persistence estimates you got have to be adjusted downwards.