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Massachusetts Institute of Technology

Learning from Past Market Outcomes: Evidence from the Music Industry

Abstract

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.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Sloan School of Management
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Du, Jason
Advisor dc:contributor.advisor
  • Simester, Duncan

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/158804
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/158804

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Du, Jason. Learning from Past Market Outcomes: Evidence from the Music Industry. Massachusetts Institute of Technology, 2025. https://hdl.handle.net/1721.1/158804