Advanced Search
MyIDEAS: Login

Testing for Structural Breaks in Small Samples

Contents:

Author Info

  • Sergei Antoshin
  • Andrew Berg
  • Marcos Souto

Abstract

In a recent paper, Bai and Perron (2006) demonstrate that their approach for testing for multiple structural breaks in time series works well in large samples, but they found substantial deviations in both the size and power of their tests in smaller samples. We propose modifying their methodology to deal with small samples by using Monte Carlo simulations to determine sample-specific critical values under the each time the test is run. We draw on the results of our simulations to offer practical suggestions on handling serial correlation, model misspecification, and the use of alternative test statistics for sequential testing. We show that, for most types of data generating processes in samples with as low as 50 observations, our proposed modifications perform substantially better.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. 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.
File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=21808
Download Restriction: no

Bibliographic Info

Paper provided by International Monetary Fund in its series IMF Working Papers with number 08/75.

as in new window
Length: 27
Date of creation: 01 Mar 2008
Date of revision:
Handle: RePEc:imf:imfwpa:08/75

Contact details of provider:
Postal: International Monetary Fund, Washington, DC USA
Phone: (202) 623-7000
Fax: (202) 623-4661
Email:
Web page: http://www.imf.org/external/pubind.htm
More information through EDIRC

Order Information:
Web: http://www.imf.org/external/pubs/pubs/ord_info.htm

Related research

Keywords: Data collection; Data analysis; Statistics; time series; correlation; statistic; autocorrelation; samples; econometrics; sample size; covariance; bootstrap; standard errors; significance level; statistical significance; standard deviation; monte carlo simulations; minimization; linear regression; probability; econometric theory; linear models; equation; nested hypotheses; monte carlo simulation; bayesian information criteria; standard deviations; standard error; cointegration; asymptotic distribution; parameter vector; computation; sample sizes; estimation procedure; normal distribution; survey; number of parameters; finite sample; regression coefficients; multivariate regression; hypothesis testing;

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Berg, Andrew & Ostry, Jonathan D. & Zettelmeyer, Jeromin, 2012. "What makes growth sustained?," Journal of Development Economics, Elsevier, vol. 98(2), pages 149-166.
  2. Chris Papageorgiou & Andrew Berg & Catherine A. Pattillo & Nicola Spatafora, 2010. "The End of An Era? the Medium- and Long-Term Effects of the Global Crisison Growth in Low-Income Countries," IMF Working Papers 10/205, International Monetary Fund.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:imf:imfwpa:08/75. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jim Beardow) or (Hassan Zaidi).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.