Bayesian nonlinear panel cointegration: an empirical application to the EKC hypothesis

被引：1
|
作者：
Polemis, Michael L. [1 ,2 ]
Tsionas, Mike G. [3 ]
机构：
[1] Univ Piraeus, Dept Econ, Piraeus 18534, Greece
[2] Hellen Competit Commiss, Athens, Greece
[3] Univ Lancaster, Management Sch, Dept Econ, Lancaster LA1 4YX, England
来源：
LETTERS IN SPATIAL AND RESOURCE SCIENCES | 2019年 / 12卷 / 02期
关键词：
Bayesian inference; EKC hypothesis; Nonlinear panel cointegration; MCMC; Posterior distribution; UNIT-ROOT TESTS; ERROR-CORRECTION; MODELS;
D O I：
10.1007/s12076-019-00230-4
中图分类号：
P9 [自然地理学]; K9 [地理];
学科分类号：
0705 ; 070501 ;
摘要：
In this paper we employ a new Bayesian approach within a cointegrating regression framework along the lines of Breitung (J Bus Econ Stat 19:331-340, 2001). We extend this fully to the case of panel data framework with general cross-sectional dependence. We argue that our Bayesian technique does not depend on asymptotic critical values and in our empirical application we do find strong evidence of nonlinear cointegrated relationships between local (SO2 and NOX) and global (CO2) emissions with the level of economic growth.
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页码：113 / 120
页数：8
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