{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/158804"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/158804","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Learning from Past Market Outcomes: Evidence from the Music Industry","abstract":"We 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.","abstract_html":"We 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.","abstract_has_math":false,"creators":["Du, Jason"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Sloan School of Management","school":null,"contributors":[],"advisors":["Simester, Duncan"],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-02","date_published":"2025-02","updated_at":"2026-07-22T22:20:53Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"],"rights_urls":["https://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/158804","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Simester, Duncan"]},{"key":"dc:contributor.department","label":"Department","values":["Sloan School of Management"]},{"key":"dc:creator","label":"Author","values":["Du, Jason"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-03-24T18:44:38Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-03-24T18:44:38Z"]},{"key":"dc:date.issued","label":"Date","values":["2025-02"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master","Master of Science in Management Research"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"]},{"key":"dc:rights.uri","label":"Rights URI","values":["https://rightsstatements.org/page/InC-EDU/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/158804"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["We 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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["Learning from Past Market Outcomes: Evidence from the Music Industry"]}]}],"canonical_facts":{"dc:contributor.advisor":["Simester, Duncan"],"dc:contributor.department":["Sloan School of Management"],"dc:creator":["Du, Jason"],"dc:date.accessioned":["2025-03-24T18:44:38Z"],"dc:date.available":["2025-03-24T18:44:38Z"],"dc:date.issued":["2025-02"],"dc:description.abstract":["We 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:description.degree":["S.M."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/158804"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"],"dc:rights.uri":["https://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["Learning from Past Market Outcomes: Evidence from the Music Industry"],"dc:type":["Thesis"],"thesis:degree_name":["Master","Master of Science in Management Research"]},"updated_at":"2026-07-22T22:20:53Z"}