The consequences of airline mergers since deregulation : report of the Civil Aeronautics Board and the Department of Transportation /

April, 1982.

Amending Clayton Act by requiring prior notification of certain corporate mergers and for other purposes. Hearings, Eighty-fourth Congress, second session, on H.R. 6748, H.R. 7229, and H.R. 8332, bills to amend Clayton Act relating to mergers. January 16, 18, 20, 23, 1956.

"Serial No. 15"

Mergers and the law.

Mode of access: Internet.

Conglomerate mergers--their effects on small business and local communities [microform] : hearings before the Subcommittee on Antitrust and Restraint of Trade Activities Affecting Small Business of the Committee on Small Business, House of Representatives, Ninety-sixth Congress, second session, Washington, D.C., January 31 and February 1, 7, 8, 12, 27, and 28, 1980.

CIS Microfiche Accession Numbers: CIS 81 H721-1

Results-oriented cultures : implementation steps to assist mergers and organizational transformations : report to Congressional subcommittees /

GAO-03-669.

Report on the present trend of corporate mergers and acquisitions.

Mode of access: Internet.

CE initial training : self-study extras and mergers.

"November 1988."

An illustration of variable precision rough sets model:an analysis of the findings of the UK Monopolies and Mergers Commission

This paper introduces a new technique in the investigation of limited-dependent variable models. This paper illustrates that variable precision rough set theory (VPRS), allied with the use of a modern method of classification, or discretisation of data, can out-perform the more standard approaches that are employed in economics, such as a probit model. These approaches and certain inductive decision tree methods are compared (through a Monte Carlo simulation approach) in the analysis of the decisions reached by the UK Monopolies and Mergers Committee. We show that, particularly in small samples, the VPRS model can improve on more traditional models, both in-sample, and particularly in out-of-sample prediction. A similar improvement in out-of-sample prediction over the decision tree methods is also shown.