eprintid: 1553097
rev_number: 22
eprint_status: archive
userid: 608
dir: disk0/01/55/30/97
datestamp: 2017-04-27 13:55:00
lastmod: 2022-01-12 23:51:46
status_changed: 2017-04-27 13:55:00
type: article
metadata_visibility: show
creators_name: Geroski, PA
creators_name: Mazzucato, M
title: Myopic Selection
ispublished: pub
divisions: UCL
divisions: B04
divisions: C04
divisions: DF7
note: Blackwell Publishers Ltd 2002. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: The severity of selection mechanisms and the myopia of selection are explored through a duopoly model where one firm tries to move down a learning curve in which costs are initially higher than its rival's but ultimately much lower. A trade-off is found between catch-up time and asymptotic market share: the more severe are selection pressures, the less likely is it that the learning technology will survive; however, if it does survive, the learning technology will in the limit be more competitive the more severe are selection pressures. We explore the dynamics of the model under unit cost and strategic pricing and find that the optimal pricing rule depends on the parameters governing firm learning and market selection.
date: 2002-05
date_type: published
official_url: http://doi.org/10.1111/1467-999X.00139
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1289669
doi: 10.1111/1467-999X.00139
lyricists_name: Mazzucato, Mariana
lyricists_id: MMAZZ96
actors_name: Mazzucato, Mariana
actors_name: Laslett, David
actors_id: MMAZZ96
actors_id: DLASL34
actors_role: owner
actors_role: impersonator
full_text_status: public
publication: Metroeconomica
volume: 53
number: 2
pagerange: 181-199
issn: 1467-999X
citation:        Geroski, PA;    Mazzucato, M;      (2002)    Myopic Selection.                   Metroeconomica , 53  (2)   pp. 181-199.    10.1111/1467-999X.00139 <https://doi.org/10.1111/1467-999X.00139>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1553097/1/Mazzucato_%25288%2529_metrocorrected_pre-pub-2-27.pdf