{"id":141363,"date":"2022-06-29T22:27:33","date_gmt":"2022-06-30T03:27:33","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/06\/a-spatiotemporal-model-of-firearm-ownership-in-the-united-states"},"modified":"2022-06-29T22:27:33","modified_gmt":"2022-06-30T03:27:33","slug":"a-spatiotemporal-model-of-firearm-ownership-in-the-united-states","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/06\/a-spatiotemporal-model-of-firearm-ownership-in-the-united-states","title":{"rendered":"A spatiotemporal model of firearm ownership in the United States"},"content":{"rendered":"<p><a class=\"blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/a-spatiotemporal-model-of-firearm-ownership-in-the-united-states2.jpg\"><\/a><\/p>\n<p>This study explores the relationship between the adoption of industrial robots and workplace injuries using data from the United States (US) and Germany. Our empirical analyses, based on establishment-level data for the US, suggest that a one standard deviation increase in robot exposure reduces work-related injuries by approximately 16%. These results are driven by manufacturing firms (&minus;28%), while we detect no impact on sectors that were less exposed to industrial robots. We also show that the US counties that are more exposed to robot penetration experience a significant increase in drug-or alcohol-related deaths and mental health problems, consistent with the extant evidence of negative effects on labor market outcomes in the US. Employing individual longitudinal data from Germany, we exploit within-individual changes in robot exposure and document similar effects on job physical intensity (&minus;4%) and disability (&minus;5%), but no evidence of significant effects on mental health and work and life satisfaction, consistent with the lack of significant impacts of robot penetration on labor market outcomes in Germany.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This study explores the relationship between the adoption of industrial robots and workplace injuries using data from the United States (US) and Germany. Our empirical analyses, based on establishment-level data for the US, suggest that a one standard deviation increase in robot exposure reduces work-related injuries by approximately 16%. These results are driven by manufacturing [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,47,6],"tags":[],"class_list":["post-141363","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-neuroscience","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/141363","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=141363"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/141363\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=141363"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=141363"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=141363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}