Meta-analytic cointegrating rank tests for dependent panels
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: Econometrics and Statistics, Jahrgang 2, 01.04.2017, S. 61-72.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - Meta-analytic cointegrating rank tests for dependent panels
AU - Karaman Örsal, Deniz Dilan
AU - Arsova, Antonia
PY - 2017/4/1
Y1 - 2017/4/1
N2 - Two new panel cointegrating rank tests which are robust to cross-sectional dependence are proposed. The dependence in the data generating process is modeled using unobserved common factors. The new tests are based on a meta-analytic approach, in which the p-values of the individual likelihood-ratio (LR) type test statistics computed from defactored data are combined into the panel statistics. A simulation study shows that the tests have reasonable size and power properties in finite samples. The application of the tests is illustrated by investigating the monetary exchange rate model for a panel data of 19 countries.
AB - Two new panel cointegrating rank tests which are robust to cross-sectional dependence are proposed. The dependence in the data generating process is modeled using unobserved common factors. The new tests are based on a meta-analytic approach, in which the p-values of the individual likelihood-ratio (LR) type test statistics computed from defactored data are combined into the panel statistics. A simulation study shows that the tests have reasonable size and power properties in finite samples. The application of the tests is illustrated by investigating the monetary exchange rate model for a panel data of 19 countries.
KW - Economics
KW - Panel cointegration
KW - p-value
KW - Common factors
KW - Rank test
KW - Cross-sectional dependence
UR - http://www.scopus.com/inward/record.url?scp=85030610503&partnerID=8YFLogxK
U2 - 10.1016/j.ecosta.2016.10.001
DO - 10.1016/j.ecosta.2016.10.001
M3 - Journal articles
VL - 2
SP - 61
EP - 72
JO - Econometrics and Statistics
JF - Econometrics and Statistics
SN - 2452-3062
ER -