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With heterogeneous priors and asymmetric information, expected behavior itself depends on the information structure, and we characterize how. As coordination strengthens, behavior converges to a focal mean of groups' prior means, weighted by size and resoluteness, the share of the prior retained in the posterior: the consensus overweights confident and inattentive groups. In a team production problem inducing these best responses, welfare depends primarily on the focal mean, which agents unanimously prefer to increase: everyone would prefer that more optimistic agents be less precisely informed, and so more resolute. When signals are noisy readings of a public announcement, varying the announcement's clarity reallocates influence over the focal mean. When coordination is mediated by a network, network positions and resoluteness effects interact in a way that is qualitatively richer than in a homogeneous population.", "occurrence_notes":null, "guid":"149503-21906530@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/149503", "building_id":"1005177", "building_name":"North Quad", "campus_maps_id":"553", "room":"4300", "location_name":"North Quad", "has_livestream":0, "cost":"", "tags":["Economics","seminar","Theory"], "website":"http:\/\/www.lsa.umich.edu\/econ", "sponsors":[ { "group_name":"Economic Theory", "group_id":"3555", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/11\/event_149503_original-2.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/11\/event_149503_original-2.jpg" }, "occurrence_count":1, "first_occurrence":21906530 } , "149504-21906531": { "datetime_modified":"20261102T093006", "datetime_start":"20261117T130000", "datetime_end":"20261117T142000", "has_end_time":1, "date_start":"2026-11-17", "date_end":"2026-11-17", "time_start":"13:00:00", "time_end":"14:20:00", "time_zone":"America\/Detroit", "event_title":"Local Asymptotics for Treatment Choice with Partial Identification", "occurrence_title":"", "combined_title":"Local Asymptotics for Treatment Choice with Partial Identification: J\u00f6rg Stoye, Cornell University", "event_subtitle":"J\u00f6rg Stoye, Cornell University", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"We provide a new asymptotic framework to derive approximately optimal treatment assignments when sampling noise from data is compounded by fundamental uncertainty due to partial identification. We recenter the reduced-form parameter around its \\emph{least-favorable} configuration and consider drifting parameter sequences that yield both diminishing levels of sampling uncertainty and of partial identification. We characterize the limiting decision problem as a normal location shift model with a suitable limiting identified set. 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