Testing the Null of Cointegration with Structural Breaks

We propose a Lagrange Multiplier‐type statistic to test the null hypothesis of cointegration allowing for the possibility of a structural break, in both the deterministic and the cointegration vectors. Our proposal focuses on the presence of endogenous regressors. The test complements the usual non‐...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Oxford bulletin of economics and statistics 2006-10, Vol.68 (5), p.623-646
Hauptverfasser: Sanso, Andreu, Carrion--Silvestre, Josep Lluís
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 646
container_issue 5
container_start_page 623
container_title Oxford bulletin of economics and statistics
container_volume 68
creator Sanso, Andreu
Carrion--Silvestre, Josep Lluís
description We propose a Lagrange Multiplier‐type statistic to test the null hypothesis of cointegration allowing for the possibility of a structural break, in both the deterministic and the cointegration vectors. Our proposal focuses on the presence of endogenous regressors. The test complements the usual non‐cointegration tests so as to obtain stronger evidence of cointegration. We consider the cases of known and unknown dates of the break. In the latter case, we show that minimizing the Sum of Squared Residuals results in a super‐consistent estimator of the break fraction. Finally, the behaviour of the tests is studied through Monte Carlo experiments.
doi_str_mv 10.1111/j.1468-0084.2006.00180.x
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_36586299</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>36586299</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5380-3f3a72c9bbffa83a96ec82b3a9da4fa9211ecd4bd83982843514240b1b3cd8d53</originalsourceid><addsrcrecordid>eNqNkEFv1DAQhSMEEkvhP0QcuCXYHidrHzjQpZRCtRVsgePIcZyut9lkazt099_X2aA9cMLSyCPN-96MXpKklOQ0vvebnPJSZIQInjNCypwQKki-f5bMToPnyYwAKTJJuHyZvPJ-Q6KKFXKWiFvjg-3u0rA26XJo27Rv0kVvu2DunAq279JHG9bpKrhBh8GpNj13Rt3718mLRrXevPn7nyU_P1_cLr5k1zeXV4uP15kuQJAMGlBzpmVVNY0SoGRptGBVbGrFGyUZpUbXvKoFSMEEh4JyxklFK9C1qAs4S95NvjvXPwzxWNxar03bqs70g0coC1EyKaPw7T_CTT-4Lt6GVHIGXBIRRWISadd770yDO2e3yh2QEhzzxA2OseEYG4554jFP3Ef064Q6szP6xFWt6qvjuj8IKpKgDrGOKCgbq4i1G2cMsOQlrsM2mn2YzB5taw7_fQTenF-sYhf5bOKtD2Z_4pW7x3IO8wJ_Ly_x16fv_NvqB-ASngCRIKMZ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>194234908</pqid></control><display><type>article</type><title>Testing the Null of Cointegration with Structural Breaks</title><source>Wiley Online Library - AutoHoldings Journals</source><source>RePEc</source><source>EBSCOhost Business Source Complete</source><creator>Sanso, Andreu ; Carrion--Silvestre, Josep Lluís</creator><creatorcontrib>Sanso, Andreu ; Carrion--Silvestre, Josep Lluís</creatorcontrib><description>We propose a Lagrange Multiplier‐type statistic to test the null hypothesis of cointegration allowing for the possibility of a structural break, in both the deterministic and the cointegration vectors. Our proposal focuses on the presence of endogenous regressors. The test complements the usual non‐cointegration tests so as to obtain stronger evidence of cointegration. We consider the cases of known and unknown dates of the break. In the latter case, we show that minimizing the Sum of Squared Residuals results in a super‐consistent estimator of the break fraction. Finally, the behaviour of the tests is studied through Monte Carlo experiments.</description><identifier>ISSN: 0305-9049</identifier><identifier>EISSN: 1468-0084</identifier><identifier>DOI: 10.1111/j.1468-0084.2006.00180.x</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>C12 ; C22 ; Cointegration analysis ; Estimation ; Lagrange multiplier ; Monte Carlo simulation ; Statistical methods ; Studies ; Test methods ; Time series ; Vector-autoregressive models</subject><ispartof>Oxford bulletin of economics and statistics, 2006-10, Vol.68 (5), p.623-646</ispartof><rights>Copyright Blackwell Publishing Oct 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5380-3f3a72c9bbffa83a96ec82b3a9da4fa9211ecd4bd83982843514240b1b3cd8d53</citedby><cites>FETCH-LOGICAL-c5380-3f3a72c9bbffa83a96ec82b3a9da4fa9211ecd4bd83982843514240b1b3cd8d53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1468-0084.2006.00180.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1468-0084.2006.00180.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,4008,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttp://econpapers.repec.org/article/blaobuest/v_3a68_3ay_3a2006_3ai_3a5_3ap_3a623-646.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Sanso, Andreu</creatorcontrib><creatorcontrib>Carrion--Silvestre, Josep Lluís</creatorcontrib><title>Testing the Null of Cointegration with Structural Breaks</title><title>Oxford bulletin of economics and statistics</title><description>We propose a Lagrange Multiplier‐type statistic to test the null hypothesis of cointegration allowing for the possibility of a structural break, in both the deterministic and the cointegration vectors. Our proposal focuses on the presence of endogenous regressors. The test complements the usual non‐cointegration tests so as to obtain stronger evidence of cointegration. We consider the cases of known and unknown dates of the break. In the latter case, we show that minimizing the Sum of Squared Residuals results in a super‐consistent estimator of the break fraction. Finally, the behaviour of the tests is studied through Monte Carlo experiments.</description><subject>C12</subject><subject>C22</subject><subject>Cointegration analysis</subject><subject>Estimation</subject><subject>Lagrange multiplier</subject><subject>Monte Carlo simulation</subject><subject>Statistical methods</subject><subject>Studies</subject><subject>Test methods</subject><subject>Time series</subject><subject>Vector-autoregressive models</subject><issn>0305-9049</issn><issn>1468-0084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNqNkEFv1DAQhSMEEkvhP0QcuCXYHidrHzjQpZRCtRVsgePIcZyut9lkazt099_X2aA9cMLSyCPN-96MXpKklOQ0vvebnPJSZIQInjNCypwQKki-f5bMToPnyYwAKTJJuHyZvPJ-Q6KKFXKWiFvjg-3u0rA26XJo27Rv0kVvu2DunAq279JHG9bpKrhBh8GpNj13Rt3718mLRrXevPn7nyU_P1_cLr5k1zeXV4uP15kuQJAMGlBzpmVVNY0SoGRptGBVbGrFGyUZpUbXvKoFSMEEh4JyxklFK9C1qAs4S95NvjvXPwzxWNxar03bqs70g0coC1EyKaPw7T_CTT-4Lt6GVHIGXBIRRWISadd770yDO2e3yh2QEhzzxA2OseEYG4554jFP3Ef064Q6szP6xFWt6qvjuj8IKpKgDrGOKCgbq4i1G2cMsOQlrsM2mn2YzB5taw7_fQTenF-sYhf5bOKtD2Z_4pW7x3IO8wJ_Ly_x16fv_NvqB-ASngCRIKMZ</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Sanso, Andreu</creator><creator>Carrion--Silvestre, Josep Lluís</creator><general>Blackwell Publishing Ltd</general><general>Department of Economics, University of Oxford</general><scope>BSCLL</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>200610</creationdate><title>Testing the Null of Cointegration with Structural Breaks</title><author>Sanso, Andreu ; Carrion--Silvestre, Josep Lluís</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5380-3f3a72c9bbffa83a96ec82b3a9da4fa9211ecd4bd83982843514240b1b3cd8d53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>C12</topic><topic>C22</topic><topic>Cointegration analysis</topic><topic>Estimation</topic><topic>Lagrange multiplier</topic><topic>Monte Carlo simulation</topic><topic>Statistical methods</topic><topic>Studies</topic><topic>Test methods</topic><topic>Time series</topic><topic>Vector-autoregressive models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanso, Andreu</creatorcontrib><creatorcontrib>Carrion--Silvestre, Josep Lluís</creatorcontrib><collection>Istex</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Oxford bulletin of economics and statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanso, Andreu</au><au>Carrion--Silvestre, Josep Lluís</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Testing the Null of Cointegration with Structural Breaks</atitle><jtitle>Oxford bulletin of economics and statistics</jtitle><date>2006-10</date><risdate>2006</risdate><volume>68</volume><issue>5</issue><spage>623</spage><epage>646</epage><pages>623-646</pages><issn>0305-9049</issn><eissn>1468-0084</eissn><abstract>We propose a Lagrange Multiplier‐type statistic to test the null hypothesis of cointegration allowing for the possibility of a structural break, in both the deterministic and the cointegration vectors. Our proposal focuses on the presence of endogenous regressors. The test complements the usual non‐cointegration tests so as to obtain stronger evidence of cointegration. We consider the cases of known and unknown dates of the break. In the latter case, we show that minimizing the Sum of Squared Residuals results in a super‐consistent estimator of the break fraction. Finally, the behaviour of the tests is studied through Monte Carlo experiments.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1468-0084.2006.00180.x</doi><tpages>24</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0305-9049
ispartof Oxford bulletin of economics and statistics, 2006-10, Vol.68 (5), p.623-646
issn 0305-9049
1468-0084
language eng
recordid cdi_proquest_miscellaneous_36586299
source Wiley Online Library - AutoHoldings Journals; RePEc; EBSCOhost Business Source Complete
subjects C12
C22
Cointegration analysis
Estimation
Lagrange multiplier
Monte Carlo simulation
Statistical methods
Studies
Test methods
Time series
Vector-autoregressive models
title Testing the Null of Cointegration with Structural Breaks
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T05%3A17%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Testing%20the%20Null%20of%20Cointegration%20with%20Structural%20Breaks&rft.jtitle=Oxford%20bulletin%20of%20economics%20and%20statistics&rft.au=Sanso,%20Andreu&rft.date=2006-10&rft.volume=68&rft.issue=5&rft.spage=623&rft.epage=646&rft.pages=623-646&rft.issn=0305-9049&rft.eissn=1468-0084&rft_id=info:doi/10.1111/j.1468-0084.2006.00180.x&rft_dat=%3Cproquest_cross%3E36586299%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=194234908&rft_id=info:pmid/&rfr_iscdi=true