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dc.contributor.authorMermelstein, Ben
dc.contributor.authorNocke, Volker
dc.contributor.authorSatterthwaite, Mark A
dc.contributor.authorWhinston, Michael D
dc.date.accessioned2022-03-29T14:50:48Z
dc.date.available2021-10-27T20:35:36Z
dc.date.available2022-03-29T14:50:48Z
dc.date.issued2019-12
dc.identifier.issn0022-3808
dc.identifier.issn1537-534X
dc.identifier.urihttps://hdl.handle.net/1721.1/136480.2
dc.description.abstract© 2019 by The University of Chicago. We study merger policy in a dynamic computational model in which firms can reduce costs through investment or through mergers. Firms invest or propose mergers according to the profitability of these strategies. An antitrust authority can block mergers at some cost. We examine the optimal policy for an antitrust authority that cannot commit to its future policy and approves mergers as they are proposed. We find that the optimal policy can differ substantially from a policy based on static welfare. In general, antitrust policy can greatly affect firms’ investment behavior, and firms’ investment behavior can greatly affect the optimal antitrust policy.en_US
dc.language.isoen
dc.publisherUniversity of Chicago Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1086/704069en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceUniversity of Chicago Pressen_US
dc.titleInternal versus External Growth in Industries with Scale Economies: A Computational Model of Optimal Merger Policyen_US
dc.typeArticleen_US
dc.contributor.departmentSloan School of Management
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economics
dc.relation.journalJournal of Political Economyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-03-23T17:26:34Z
dspace.orderedauthorsMermelstein, B; Nocke, V; Satterthwaite, MA; Whinston, MDen_US
dspace.date.submission2021-03-23T17:26:35Z
mit.journal.volume128en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work Neededen_US


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