This paper provides a brief survey of the bootstrap and its use in econometrics. As an introduction, the paper gives a description of the basics of the method, with a special emphasis on boostrap testing. A fairly large amount of space is devoted to discuss why bootstrap tests provide refinements compared to equivalent asymptotic tests. A series of recent different applications in the econometrics literature is then surveyed, in order to give a picture of this rapidly evolving research field.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Uppsala University, Department of Economics in its series Working Paper Series with number
1999:2.
Length: 27 pages Date of creation: 10 Jan 1999 Date of revision: Handle: RePEc:hhs:uunewp:1999_002
Contact details of provider: Postal: Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden Phone: + 46 18 471 25 00 Fax: + 46 18 471 14 78 Email: Web page: http://www.nek.uu.se/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Katarina Grönvall).
Find related papers by JEL classification: C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Did you know? Citation analysis on IDEAS includes online papers that are freely accessible and whose text could be automatically analyzed, currently about 210000 papers.