Arbeitspapier

Monitoring cointegrating polynomial regressions: Theory and application to the environmental Kuznets curves for carbon and sulfur dioxide emissions

This paper develops residual-based monitoring procedures for cointegrating polynomial regressions, i. e. , regression models including deterministic variables, integrated processes as well as integer powers of integrated processes as regressors. The regressors are allowed to be endogenous and the stationary errors are allowed to be serially correlated. We consider five variants of monitoring statistics and develop the results for three modified least squares estimators for the parameters of the CPRs. The simulations show that using the combination of self-normalization and a moving window leads to the best performance. We use the developed monitoring statistics to assess the structural stability of environmental Kuznets curves (EKCs) for both CO2 and SO2 emissions for twelve industrialized country since the first oil price shock.

Language
Englisch

Bibliographic citation
Series: IHS Working Paper ; No. 27

Classification
Wirtschaft
Subject
Cointegrating Polynomial Regression
Environmental Kuznets Curve
Monitoring
Structural Change

Event
Geistige Schöpfung
(who)
Knorre, Fabian
Wagner, Martin
Grupe, Maximilian
Event
Veröffentlichung
(who)
Institut für Höhere Studien - Institute for Advanced Studies (IHS)
(where)
Vienna
(when)
2020

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Knorre, Fabian
  • Wagner, Martin
  • Grupe, Maximilian
  • Institut für Höhere Studien - Institute for Advanced Studies (IHS)

Time of origin

  • 2020

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