Testing structural changes in panel data with small fixed panel size and bootstrap
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10313105" target="_blank" >RIV/00216208:11320/15:10313105 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00184-014-0522-8" target="_blank" >http://dx.doi.org/10.1007/s00184-014-0522-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00184-014-0522-8" target="_blank" >10.1007/s00184-014-0522-8</a>
Alternative languages
Result language
angličtina
Original language name
Testing structural changes in panel data with small fixed panel size and bootstrap
Original language description
Panel data of our interest consist of a moderate or relatively large number of panels, while the panels contain a small number of observations. This paper establishes testing procedures to detect a possible common change in means of the panels. To this end, we consider a ratio type test statistic and derive its asymptotic distribution under the no change null hypothesis. Moreover, we prove the consistency of the test under the alternative. The main advantage of such an approach is that the variance of the observations neither has to be known nor estimated. On the other hand, the correlation structure is required to be calculated. To overcome this issue, a bootstrap technique is proposed in the way of a completely data driven approach without any tuningparameters. The validity of the bootstrap algorithm is shown. As a by-product of the developed tests, we introduce a common break point estimate and prove its consistency. The results are illustrated through a simulation study. An applic
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GP13-12994P" target="_blank" >GP13-12994P: Stochastic claims reserving and statistical inference in insurance</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Metrika
ISSN
0026-1335
e-ISSN
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Volume of the periodical
78
Issue of the periodical within the volume
6
Country of publishing house
DE - GERMANY
Number of pages
25
Pages from-to
665-689
UT code for WoS article
000358058000004
EID of the result in the Scopus database
2-s2.0-84946037121