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dc.contributor.advisorSimester, Duncan
dc.contributor.authorDu, Jason
dc.date.accessioned2025-03-24T18:44:38Z
dc.date.available2025-03-24T18:44:38Z
dc.date.issued2025-02
dc.date.submitted2025-02-14T16:20:46.603Z
dc.identifier.urihttps://hdl.handle.net/1721.1/158804
dc.description.abstractWe leverage unique features of music albums to investigate how musicians learn from current products when developing new products. We find that songs on a musician’s next album tend to be more similar to the songs that are more successful on that musician’s current album. This effect is stronger when the musician has less experience, and when the song on the current album is more novel (for that musician). Our findings suggest that musicians learn from the success of previous songs when developing new songs, and that learning is stronger if the musician has more need to learn, and when the song contains more new information.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleLearning from Past Market Outcomes: Evidence from the Music Industry
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentSloan School of Management
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Management Research


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