Fully modified OLS estimation and inference for seemingly unrelated cointegrating polynomial regressions and the environmental Kuznets curve for carbon dioxide emissions
Year of publication: |
2020
|
---|---|
Authors: | Wagner, Martin ; Grabarczyk, Peter ; Hong, Seung Hyun |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 214.2020, 1, p. 216-255
|
Subject: | Cointegrating polynomial regression | Environmental Kuznets curve | Fully modified estimation | Group-wise pooling | Seemingly unrelated regression | Regressionsanalyse | Regression analysis | Treibhausgas-Emissionen | Greenhouse gas emissions | Kointegration | Cointegration | Kleinste-Quadrate-Methode | Least squares method | Environmental Kuznets Curve | Schätztheorie | Estimation theory | Schätzung | Estimation |
-
Knorre, Fabian, (2021)
-
Neto, David, (2023)
-
Knorre, Fabian, (2020)
- More ...
-
Cointegrating polynomial regressions : fully modified OLS estimation and inference
Hong, Seung Hyun, (2011)
-
Cointegrating polynomial regressions : fully modified OLS estimation and inference
Hong, Seung Hyun, (2011)
-
Nonlinear cointegration analysis and the environmental Kuznets curve
Hong, Seung Hyun, (2008)
- More ...