دورية أكاديمية

Generalized Yule-Walker estimation for spatio-temporal models with unknown diagonal coefficients

التفاصيل البيبلوغرافية
العنوان: Generalized Yule-Walker estimation for spatio-temporal models with unknown diagonal coefficients
المؤلفون: Dou, Baojun, Parrella, Maria Lucia, Yao, Qiwei
المساهمون: Yao, QW (reprint author), London Sch Econ, Dept Stat, Houghton St, London WC2A 2AE, England., London Sch Econ, Dept Stat, Houghton St, London WC2A 2AE, England., Univ Salerno, Dept Econ & Stat, Fisciano, Italy., Peking Univ, Guanghua Sch Management, Beijing, Peoples R China.
المصدر: SCI
بيانات النشر: JOURNAL OF ECONOMETRICS
سنة النشر: 2016
المجموعة: Peking University Institutional Repository (PKU IR) / 北京大学机构知识库
مصطلحات موضوعية: alpha-mixing, Dynamic panels, High dimensionality, Least squares estimation, Spatial autoregression, Stationarity, DYNAMIC PANEL-DATA
الوصف: We consider a class of spatio-temporal models which extend popular econometric spatial autoregressive panel data models by allowing the scalar coefficients for each location (or panel) different from each other. To overcome the innate endogeneity, we propose a generalized Yule-Walker estimation method which applies the least squares estimation to a Yule-Walker equation. The asymptotic theory is developed under the setting that both the sample size and the number of locations (or panels) tend to infinity under a general setting for stationary and alpha-mixing processes, which includes spatial autoregressive panel data models driven by i.i.d. innovations as special cases. The proposed methods are illustrated using both simulated and real data. (C) 2016 Elsevier B.V. All rights reserved. ; Italian Ministry of Education, University and Research (MIUR) [prot. 2010J3LZEN]; EPSRC [EP/L01226X/1] ; SCI(E) ; SSCI ; ARTICLE ; q.yao@lse.ac.uk ; 2 ; 369-382 ; 194
نوع الوثيقة: journal/newspaper
اللغة: English
ردمك: 978-0-00-382596-1
0-00-382596-5
تدمد: 0304-4076
1872-6895
العلاقة: JOURNAL OF ECONOMETRICS.2016,194(2),369-382.; 1428346; http://hdl.handle.net/20.500.11897/447914Test; WOS:000382596500014
DOI: 10.1016/j.jeconom.2016.05.014
الإتاحة: https://doi.org/20.500.11897/447914Test
https://doi.org/10.1016/j.jeconom.2016.05.014Test
https://hdl.handle.net/20.500.11897/447914Test
رقم الانضمام: edsbas.95811045
قاعدة البيانات: BASE
الوصف
ردمك:9780003825961
0003825965
تدمد:03044076
18726895
DOI:10.1016/j.jeconom.2016.05.014