Consistency of trend break point estimator with underspecified break number
This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowi...
Ausführliche Beschreibung
Autor*in: |
Yang, Jingjing [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
March 2017 |
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Übergeordnetes Werk: |
Enthalten in: Econometrics - Basel : MDPI, 2013, 5(2017), 1 vom: März, Seite 1-19 |
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Übergeordnetes Werk: |
volume:5 ; year:2017 ; number:1 ; month:03 ; pages:1-19 |
Links: |
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DOI / URN: |
10.3390/econometrics5010004 |
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Katalog-ID: |
888263155 |
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10.3390/econometrics5010004 doi 10419/171905 hdl (DE-627)888263155 (DE-576)9888263153 (DE-599)GBV888263155 DE-627 ger DE-627 rda eng C22 C13 jelc Yang, Jingjing verfasserin (DE-588)103526420X (DE-627)747110689 (DE-576)38287336X aut Consistency of trend break point estimator with underspecified break number Jingjing Yang March 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance. Enthalten in Econometrics Basel : MDPI, 2013 5(2017), 1 vom: März, Seite 1-19 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:5 year:2017 number:1 month:03 pages:1-19 http://hdl.handle.net/10419/171905 Resolving-System kostenfrei Volltext http://dx.doi.org/10.3390/econometrics5010004 Resolving-System Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20170628 AR 5 2017 1 3 1-19 26 01 0206 1690966262 x1k 30-05-17 2403 01 DE-LFER 3496555270 00 --%%-- --%%-- n --%%-- l01 24-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/171905 26 00 DE-206 56 deterministic trend 26 00 DE-206 56 linear trend 26 00 DE-206 56 multiple trend shifts 26 00 DE-206 56 underspecified break number 26 00 DE-206 56 Pitman drift 26 00 DE-206 56 limiting distribution |
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10.3390/econometrics5010004 doi 10419/171905 hdl (DE-627)888263155 (DE-576)9888263153 (DE-599)GBV888263155 DE-627 ger DE-627 rda eng C22 C13 jelc Yang, Jingjing verfasserin (DE-588)103526420X (DE-627)747110689 (DE-576)38287336X aut Consistency of trend break point estimator with underspecified break number Jingjing Yang March 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance. Enthalten in Econometrics Basel : MDPI, 2013 5(2017), 1 vom: März, Seite 1-19 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:5 year:2017 number:1 month:03 pages:1-19 http://hdl.handle.net/10419/171905 Resolving-System kostenfrei Volltext http://dx.doi.org/10.3390/econometrics5010004 Resolving-System Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20170628 AR 5 2017 1 3 1-19 26 01 0206 1690966262 x1k 30-05-17 2403 01 DE-LFER 3496555270 00 --%%-- --%%-- n --%%-- l01 24-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/171905 26 00 DE-206 56 deterministic trend 26 00 DE-206 56 linear trend 26 00 DE-206 56 multiple trend shifts 26 00 DE-206 56 underspecified break number 26 00 DE-206 56 Pitman drift 26 00 DE-206 56 limiting distribution |
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10.3390/econometrics5010004 doi 10419/171905 hdl (DE-627)888263155 (DE-576)9888263153 (DE-599)GBV888263155 DE-627 ger DE-627 rda eng C22 C13 jelc Yang, Jingjing verfasserin (DE-588)103526420X (DE-627)747110689 (DE-576)38287336X aut Consistency of trend break point estimator with underspecified break number Jingjing Yang March 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance. Enthalten in Econometrics Basel : MDPI, 2013 5(2017), 1 vom: März, Seite 1-19 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:5 year:2017 number:1 month:03 pages:1-19 http://hdl.handle.net/10419/171905 Resolving-System kostenfrei Volltext http://dx.doi.org/10.3390/econometrics5010004 Resolving-System Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20170628 AR 5 2017 1 3 1-19 26 01 0206 1690966262 x1k 30-05-17 2403 01 DE-LFER 3496555270 00 --%%-- --%%-- n --%%-- l01 24-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/171905 26 00 DE-206 56 deterministic trend 26 00 DE-206 56 linear trend 26 00 DE-206 56 multiple trend shifts 26 00 DE-206 56 underspecified break number 26 00 DE-206 56 Pitman drift 26 00 DE-206 56 limiting distribution |
allfieldsGer |
10.3390/econometrics5010004 doi 10419/171905 hdl (DE-627)888263155 (DE-576)9888263153 (DE-599)GBV888263155 DE-627 ger DE-627 rda eng C22 C13 jelc Yang, Jingjing verfasserin (DE-588)103526420X (DE-627)747110689 (DE-576)38287336X aut Consistency of trend break point estimator with underspecified break number Jingjing Yang March 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance. Enthalten in Econometrics Basel : MDPI, 2013 5(2017), 1 vom: März, Seite 1-19 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:5 year:2017 number:1 month:03 pages:1-19 http://hdl.handle.net/10419/171905 Resolving-System kostenfrei Volltext http://dx.doi.org/10.3390/econometrics5010004 Resolving-System Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20170628 AR 5 2017 1 3 1-19 26 01 0206 1690966262 x1k 30-05-17 2403 01 DE-LFER 3496555270 00 --%%-- --%%-- n --%%-- l01 24-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/171905 26 00 DE-206 56 deterministic trend 26 00 DE-206 56 linear trend 26 00 DE-206 56 multiple trend shifts 26 00 DE-206 56 underspecified break number 26 00 DE-206 56 Pitman drift 26 00 DE-206 56 limiting distribution |
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10.3390/econometrics5010004 doi 10419/171905 hdl (DE-627)888263155 (DE-576)9888263153 (DE-599)GBV888263155 DE-627 ger DE-627 rda eng C22 C13 jelc Yang, Jingjing verfasserin (DE-588)103526420X (DE-627)747110689 (DE-576)38287336X aut Consistency of trend break point estimator with underspecified break number Jingjing Yang March 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance. Enthalten in Econometrics Basel : MDPI, 2013 5(2017), 1 vom: März, Seite 1-19 Online-Ressource (DE-627)74684042X (DE-600)2717594-7 (DE-576)382897196 2225-1146 nnns volume:5 year:2017 number:1 month:03 pages:1-19 http://hdl.handle.net/10419/171905 Resolving-System kostenfrei Volltext http://dx.doi.org/10.3390/econometrics5010004 Resolving-System Volltext GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER zbwolc20170628 AR 5 2017 1 3 1-19 26 01 0206 1690966262 x1k 30-05-17 2403 01 DE-LFER 3496555270 00 --%%-- --%%-- n --%%-- l01 24-07-19 2403 01 DE-LFER http://hdl.handle.net/10419/171905 26 00 DE-206 56 deterministic trend 26 00 DE-206 56 linear trend 26 00 DE-206 56 multiple trend shifts 26 00 DE-206 56 underspecified break number 26 00 DE-206 56 Pitman drift 26 00 DE-206 56 limiting distribution |
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consistency of trend break point estimator with underspecified break number |
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Consistency of trend break point estimator with underspecified break number |
abstract |
This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance. |
abstractGer |
This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance. |
abstract_unstemmed |
This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance. |
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Consistency of trend break point estimator with underspecified break number |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">888263155</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20171211095409.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">170530s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3390/econometrics5010004</subfield><subfield code="2">doi</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10419/171905</subfield><subfield code="2">hdl</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)888263155</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-576)9888263153</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBV888263155</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">C22</subfield><subfield code="a">C13</subfield><subfield code="2">jelc</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yang, Jingjing</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)103526420X</subfield><subfield code="0">(DE-627)747110689</subfield><subfield code="0">(DE-576)38287336X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Consistency of trend break point estimator with underspecified break number</subfield><subfield code="c">Jingjing Yang</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">March 2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance.</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Econometrics</subfield><subfield code="d">Basel : MDPI, 2013</subfield><subfield code="g">5(2017), 1 vom: März, Seite 1-19</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)74684042X</subfield><subfield code="w">(DE-600)2717594-7</subfield><subfield code="w">(DE-576)382897196</subfield><subfield code="x">2225-1146</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:5</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:1</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:1-19</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield 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