Notes on the construction of geometric representations of confidence intervals of ratios using Stata...
Notes on the construction of geometric representations of confidence intervals of ratios using Stata...
Notes on the construction of geometric representations of confidence intervals of ratios using Stata, Gauss and Eviews [electronic resource] / by Joe Hirschberg and Jenny Lye.
About this item
Full title
Author / Creator
Publisher
Melbourne : Dept. of Economics, University of Melbourne, 2009.
Date
2009.
Record Identifier
MMS ID
Language
English
Formats
Publication information
Publisher
Melbourne : Dept. of Economics, University of Melbourne, 2009.
Series
Place of Publication
Victoria
Date Published
2009.
Subjects
More information
Scope and Contents
Summary
These notes demonstrate how one can define constrained extrema problems whose solutions can be interpreted as the Delta and the Fieller confidence intervals for the ratio of parameters that are estimated by normally distributed parameter estimates. Also included in these notes are the details of the derivation of the slopes of a constraint ellip...
Alternative Titles
Full title
Notes on the construction of geometric representations of confidence intervals of ratios using Stata, Gauss and Eviews [electronic resource] / by Joe Hirschberg and Jenny Lye.
Authors, Artists and Contributors
Author / Creator
Author / Artists
Notes
General note
Research paper / University of Melbourne, Dept. of Economics, 0819-2642 ; no. 1061.
Title from title screen (viewed on 16 September 2011)
"January 2009".
Includes bibliographical references (p. 12)
System details note
Mode of access: Internet via World Wide Web. Address as at 16/09/2011: http://www.economics.unimelb.edu.au/research/workingPapers.html.
System requirements: Adobe Acrobat reader to access the document in PDF format.
Contextual Information
Other version (online)
Identifiers
Primary Identifiers
Record Identifier
74VvKx6pd4Ld
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/74VvKx6pd4Ld
Other Identifiers
ISBN
9780734040251
DDC
330.015195
MMS ID
991007962279702626
