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Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence. / Arsova, Antonia; Karaman Örsal, Deniz Dilan.
In: Econometric Reviews, Vol. 37, No. 10, 26.11.2018, p. 1033-1050.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Arsova, A & Karaman Örsal, DD 2018, 'Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence', Econometric Reviews, vol. 37, no. 10, pp. 1033-1050. https://doi.org/10.1080/07474938.2016.1183070

APA

Arsova, A., & Karaman Örsal, D. D. (2018). Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence. Econometric Reviews, 37(10), 1033-1050. https://doi.org/10.1080/07474938.2016.1183070

Vancouver

Arsova A, Karaman Örsal DD. Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence. Econometric Reviews. 2018 Nov 26;37(10):1033-1050. Epub 2016 Jul 11. doi: 10.1080/07474938.2016.1183070

Bibtex

@article{d7dc4ecec5264641b6fe6ffa0240ed6c,
title = "Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence",
abstract = "This article proposes a new likelihood-based panel cointegration rank testwhich extends the test of {\"O}rsal and Droge (2014) (henceforth panel SL test)to dependent panels. The dependence is modelled by unobserved commonfactors which affect the variables in each cross-section through heterogeneousloadings. The data are defactored following the panel analysis of nonstation-arity in idiosyncratic and common components (PANIC) approach of Bai andNg (2004) and the cointegrating rank of the defactored data is then tested bythe panel SL test. AMonte Carlo study demonstrates that the proposed testingprocedure has reasonable size and power properties in finite samples.",
keywords = "Economics, empirical/statistics, Common factors, cross-sectional dependence, likelihood-ratio, panel cointegration rank test, time trend",
author = "Antonia Arsova and {Karaman {\"O}rsal}, {Deniz Dilan}",
year = "2018",
month = nov,
day = "26",
doi = "10.1080/07474938.2016.1183070",
language = "English",
volume = "37",
pages = "1033--1050",
journal = "Econometric Reviews",
issn = "0747-4938",
publisher = "Taylor and Francis Ltd.",
number = "10",

}

RIS

TY - JOUR

T1 - Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence

AU - Arsova, Antonia

AU - Karaman Örsal, Deniz Dilan

PY - 2018/11/26

Y1 - 2018/11/26

N2 - This article proposes a new likelihood-based panel cointegration rank testwhich extends the test of Örsal and Droge (2014) (henceforth panel SL test)to dependent panels. The dependence is modelled by unobserved commonfactors which affect the variables in each cross-section through heterogeneousloadings. The data are defactored following the panel analysis of nonstation-arity in idiosyncratic and common components (PANIC) approach of Bai andNg (2004) and the cointegrating rank of the defactored data is then tested bythe panel SL test. AMonte Carlo study demonstrates that the proposed testingprocedure has reasonable size and power properties in finite samples.

AB - This article proposes a new likelihood-based panel cointegration rank testwhich extends the test of Örsal and Droge (2014) (henceforth panel SL test)to dependent panels. The dependence is modelled by unobserved commonfactors which affect the variables in each cross-section through heterogeneousloadings. The data are defactored following the panel analysis of nonstation-arity in idiosyncratic and common components (PANIC) approach of Bai andNg (2004) and the cointegrating rank of the defactored data is then tested bythe panel SL test. AMonte Carlo study demonstrates that the proposed testingprocedure has reasonable size and power properties in finite samples.

KW - Economics, empirical/statistics

KW - Common factors

KW - cross-sectional dependence

KW - likelihood-ratio

KW - panel cointegration rank test

KW - time trend

UR - http://www.scopus.com/inward/record.url?scp=84978066594&partnerID=8YFLogxK

U2 - 10.1080/07474938.2016.1183070

DO - 10.1080/07474938.2016.1183070

M3 - Journal articles

VL - 37

SP - 1033

EP - 1050

JO - Econometric Reviews

JF - Econometric Reviews

SN - 0747-4938

IS - 10

ER -

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Geopolitical risks and financial stress in emerging economies

NguyenHuu, T. & Örsal, D. K., 01.2024, In: World Economy. 47, 1, p. 217-237 21 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Computing Consumer Sentiment in Germany via Social Media Data

Karaman Örsal, D. & Sturm, S., 2021, Hamburg: Universität Hamburg, 12 p. (Hamburg Discussion Papers in International Economics; no. 7).

Research output: Working paper › Working papers

Onlinedaten und Konsumentscheidungen: Voraussagen anhand von Daten aus Social Media und Suchmaschinen

Karaman Örsal, D., 01.09.2021, Neuvermessung der Datenökonomie. Straubhaar, T. (ed.). Hamburg: Hamburg University Press, p. 157-173 17 p. (Edition HWWI; vol. 6).

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research

Long-run economic determinants of asylum applications

Karaman Örsal, D. D., 10.03.2021, In: Economics Bulletin. 41, 1, p. 48-59 12 p.

Research output: Journal contributions › Journal articles › Research › peer-review

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Nguyen, H. T. & Karaman Örsal, D. D., 28.04.2020, In: Economics. 14, 1, p. 1-34 34 p., 2020-12.

Research output: Journal contributions › Journal articles › Research › peer-review

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