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UID:20250910T030312EDT-2551FIOgmh@132.216.98.100
DTSTAMP:20250910T070312Z
DESCRIPTION:Jia Xiang (Penn State)\n	Date: January 16\, 2020\n	Time and Locat
 ion: 10:00 a.m.\, Leacock 429\n\nAbstract:\n	I study the physician-patient 
 interaction in medical treatment decisions. For many illnesses\, patients 
 seek advice from physicians\, who signal the relative value of various tre
 atment options. Patients then incorporate this information into their trea
 tment decision\, aware that it may reflect not just their own interests bu
 t the physicians’ as well. I characterize this interaction formally using 
 a Bayesian persuasion framework and test the model’s main implications\, u
 sing health insurance claims data for a large district in China. Using a D
 ifference-in-Differences approach\, I find that\, for a diagnosis for whic
 h surgical treatment is somewhat discretionary\, a 1 percent increase in p
 hysicians’ reimbursement for surgery leads to an 8 percent increase in the
  likelihood of surgery\, with no change in health outcomes. The effect is 
 1.5 times larger for more insured patients. I then estimate a parameterize
 d version of the model to calculate the value of fully informing patients 
 about the relative value of treatments. While only 8 percent of the patien
 ts choose surgery\, 57 percent of them would not have done so were they fu
 lly informed\, whereby total welfare rises by 13 percent.\n
DTSTART:20200116T150000Z
DTEND:20200116T163000Z
LOCATION:Leacock 429\, Leacock Building\, CA\, QC\, Montreal\, H3A 2T7\, 85
 5 rue Sherbrooke Ouest
SUMMARY:Jia Xiang (Penn State)\, “Physicians as Persuaders: Evidence from H
 ospitals in China”
URL:/economics/channels/event/jia-xiang-penn-state-phy
 sicians-persuaders-evidence-hospitals-china-305557
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