The Merger Clearance Decision Process in New Zealand: Application of a New Two-Stage Probit Model
Qing Yang () and
Michael Pickford
Review of Industrial Organization, 2014, vol. 44, issue 3, 299-325
Abstract:
This paper analyses empirically the factors that influence the merger decision-making process of the New Zealand Commerce Commission using discrete-choice econometric modelling. Previous studies in various countries have typically modelled this process as involving a single step, even when a formal two-step process is actually used. We apply a new approach that treats merger decision-making as a two-step process, and compare the results with those from applications of the conventional one-step and ordered probit models. We expect the new approach to avoid biases inherent in the previous models, and therefore to produce statistically superior results. Copyright Springer Science+Business Media New York 2014
Keywords: Antitrust; Competition law; Merger review; Heckman Selection; Two stage Probit model (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11151-013-9404-x (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:revind:v:44:y:2014:i:3:p:299-325
Ordering information: This journal article can be ordered from
http://www.springer. ... on/journal/11151/PS2
DOI: 10.1007/s11151-013-9404-x
Access Statistics for this article
Review of Industrial Organization is currently edited by L.J. White
More articles in Review of Industrial Organization from Springer, The Industrial Organization Society Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().