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  • Search: subject:"Cointegrating Polynomial Regression"
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Year of publication
Subject
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Cointegration 11 Kointegration 11 Regression analysis 11 Regressionsanalyse 11 Cointegrating Polynomial Regression 10 Estimation theory 10 Schätztheorie 10 Environmental Kuznets Curve 7 Cointegrating polynomial regression 6 Kleinste-Quadrate-Methode 6 Least squares method 6 Statistical test 6 Statistischer Test 6 Environmental Kuznets curve 5 Cointegration Testing 4 Fully Modified Estimation 4 Generalized Least Squares 4 Greenhouse gas emissions 3 OECD countries 3 OECD-Staaten 3 Treibhausgas-Emissionen 3 cointegrating polynomial regression 3 Cointegration Test 2 EnvironmentalKuznets Curve 2 Estimation 2 Fully Modified OLS Estimation 2 Fully modified estimation 2 Hypothesis Testing 2 Integrated Process 2 Monitoring 2 Nonlinearity 2 Panel 2 Panel study 2 Power Law Trends 2 Schwefelemissionen 2 Schätzung 2 Structural Change 2 Sulphur emissions 2 Time series analysis 2 Zeitreihenanalyse 2
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Online availability
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Free 17 CC license 3 Undetermined 2
Type of publication
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Book / Working Paper 12 Article 7
Type of publication (narrower categories)
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Working Paper 11 Article in journal 6 Aufsatz in Zeitschrift 6 Arbeitspapier 5 Graue Literatur 5 Non-commercial literature 5 Article 1
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Language
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English 19
Author
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Wagner, Martin 14 Grupe, Maximilian 4 Knorre, Fabian 4 Lin, Yicong 4 Reuvers, Hanno 4 Grabarczyk, Peter 3 Hong, Seung Hyun 3 Kawka, Rafael 2 Stypka, Oliver 2 Di Iorio, Francesca 1 Fachin, Stefano 1 Reichold, Karsten 1
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Institution
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Department of Economics and Finance Research and Teaching, Institut für Höhere Studien (IHS) 1
Published in...
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Discussion paper / Tinbergen Institute 2 Empirical economics : a quarterly journal of the Institute for Advanced Studies 2 IHS Working Paper 2 IHS working paper 2 Tinbergen Institute Discussion Paper 2 Econometric reviews 1 Econometrics 1 Econometrics : open access journal 1 Economics Series / Department of Economics and Finance Research and Teaching, Institut für Höhere Studien (IHS) 1 Economics letters 1 IHS Economics Series 1 IHS economics series : working paper 1 Journal of econometrics 1 Reihe Ökonomie / Economics Series 1
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Source
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ECONIS (ZBW) 11 EconStor 7 RePEc 1
Showing 11 - 19 of 19
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Monitoring cointegrating polynomial regressions : theory and application to the environmental Kuznets curves for carbon and sulfur dioxide emissions
Knorre, Fabian; Wagner, Martin; Grupe, Maximilian - In: Econometrics : open access journal 9 (2021) 1, pp. 1-35
This paper develops residual-based monitoring procedures for cointegrating polynomial regressions (CPRs), i.e., regression models including deterministic variables and integrated processes, as well as integer powers, of integrated processes as regressors. The regressors are allowed to be...
Persistent link: https://www.econbiz.de/10012503985
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Fully modified least squares estimation and inference for systems of cointegrating polynomial regressions
Wagner, Martin - In: Economics letters 228 (2023), pp. 1-5
Persistent link: https://www.econbiz.de/10014455149
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Monitoring cointegrating polynomial regressions: Theory and application to the environmental Kuznets curves for carbon and sulfur dioxide emissions
Knorre, Fabian; Wagner, Martin; Grupe, Maximilian - 2020
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...
Persistent link: https://www.econbiz.de/10012416125
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Monitoring cointegrating polynomial regressions : theory and application to the environmental Kuznets curves for carbon and sulfur dioxide emissions
Knorre, Fabian; Wagner, Martin; Grupe, Maximilian - 2020
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...
Persistent link: https://www.econbiz.de/10012405301
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The asymptotic validity of "standard" fully modified OLS estimation and inference in cointegrating polynomial regressions
Stypka, Oliver; Wagner, Martin; Grabarczyk, Peter; … - 2017
The paper considers estimation and inference in cointegrating polynomial regressions, i. e., regressions that include deterministic variables, integrated processes and their powers as explanatory variables. The stationary errors are allowed to be serially correlated and the regressors are...
Persistent link: https://www.econbiz.de/10011917375
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The asymptotic validity of "standard" fully modified OLS estimation and inference in cointegrating polynomial regressions
Stypka, Oliver; Wagner, Martin; Grabarczyk, Peter; … - 2017
The paper considers estimation and inference in cointegrating polynomial regressions, i. e., regressions that include deterministic variables, integrated processes and their powers as explanatory variables. The stationary errors are allowed to be serially correlated and the regressors are...
Persistent link: https://www.econbiz.de/10011736606
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Fully modified OLS estimation and inference for seemingly unrelated cointegrating polynomial regressions and the environmental Kuznets curve for carbon dioxide emissions
Wagner, Martin; Grabarczyk, Peter; Hong, Seung Hyun - In: Journal of econometrics 214 (2020) 1, pp. 216-255
Persistent link: https://www.econbiz.de/10012438321
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Cointegrating polynomial regressions: Fully modified OLS estimation and inference
Hong, Seung Hyun; Wagner, Martin - 2011
This paper develops a fully modified OLS estimator for cointegrating polynomial regressions, i.e. for regressions including deterministic variables, integrated processes and powers of integrated processes as explanatory variables and stationary errors. The errors are allowed to be serially...
Persistent link: https://www.econbiz.de/10010290986
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Cointegrating Polynomial Regressions
Hong, Seung Hyun; Wagner, Martin - Department of Economics and Finance Research and … - 2011
This paper develops a fully modified OLS estimator for cointegrating polynomial regressions, i.e. for regressions including deterministic variables, integrated processes and powers of integrated processes as explanatory variables and stationary errors. The errors are allowed to be serially...
Persistent link: https://www.econbiz.de/10008869182
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