Significance test in nonstationary logit panel model with serially correlated dependent variable
In: SCI, 2017
Online
academicJournal
We derive the asymptotic distribution of the overall significance/LM test in logit panel models with nonstationary covariates when the binary dependent variable is serially correlated. The asymptotic distribution of LM statistic is shown proportional to Chi-square distribution. Spurious logit link could arise if one fails to take into account the serial correlation. (C) 2017 Elsevier B.V. All rights reserved. ; SSCI ; ARTICLE ; 37-41 ; 159
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Significance test in nonstationary logit panel model with serially correlated dependent variable
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Autor/in / Beteiligte Person: | Chu, Chia-Shang J. ; Liu, Nan ; Zhang, Lina ; Chu, CSJ (reprint author), Peking Univ, HSBC, Beijing, Peoples R China. ; Peking Univ, HSBC Business Sch, Beijing, Peoples R China. ; Southwest Univ Finance & Econ, RIEM, Chengdu, Sichuan, Peoples R China. ; Peking Univ, Natl Sch Dev, Beijing, Peoples R China. ; Peking Univ, HSBC, Beijing, Peoples R China. |
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Zeitschrift: | SCI, 2017 |
Veröffentlichung: | ECONOMICS LETTERS, 2017 |
Medientyp: | academicJournal |
ISSN: | 0165-1765 (print) ; 1873-7374 (print) |
DOI: | 10.1016/j.econlet.2017.07.003 |
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