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How crude oil consumption impacts on economic growth of Sub-Saharan Africa?
16 references·13 citing·23 second hop
How crude oil consumption impacts on economic growth of Sub-Saharan Africa? (2013)How crude oil consumption impacts on econ…Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): Evidence from a panel of BRIC (Brazil, Russian Federation, India, and China) countries (2010)Multivariate Granger causalit…Renewable energy consumption and economic growth: Evidence from a panel of OECD countries (2009)Renewable energy consumption …Energy consumption and economic growth in Central America: Evidence from a panel cointegration and error correction model (2008)Energy consumption and econom…Oil price shocks and real GDP growth: empirical evidence for some OECD countries (2005)Oil price shocks and real GDP…The local power of some unit root tests for panel data (2004)The local power of some unit …Fully modified OLS for heterogeneous cointegrated panels (2004)Fully modified OLS for hetero…Testing for unit roots in heterogeneous panels (2003)Testing for unit roots in het…Unit root tests in panel data: asymptotic and finite-sample properties (2002)Unit root tests in panel data…Unit root tests for panel data (2001)Unit root tests for panel dataTesting for stationarity in heterogeneous panel data (2000)Testing for stationarity in h…Spurious regression and residual-based tests for cointegration in panel data (1999)Spurious regression and resid…Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors (1999)Critical Values for Cointegra…A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test (1999)A Comparative Study of Unit R…Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)Some Tests of Specification f…Statistical Inference in Instrumental Variables Regression with I(1) Processes (1990)Statistical Inference in Inst…Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Co-Integration and Error Corr…A blending ensemble learning model for crude oil price forecasting (2024)A blending ensemble learning …Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models (2023)Novel deterministic and proba…A novel nonlinear multivariable Verhulst grey prediction model: A case study of oil consumption forecasting in China (2022)A novel nonlinear multivariab…MODELING THE NEXUS BETWEEN SUSTAINABLE DEVELOPMENT AND RENEWABLE ENERGY: THE AFRICAN PERSPECTIVES (2020)MODELING THE NEXUS BETWEEN SU…Renewable and non-renewable energy-growth nexus: A panel data application for the selected Sub-Saharan African countries (2019)Renewable and non-renewable e…Energy consumption, fuel substitution, technical change, and economic growth: Implications for CO2 mitigation in Egypt (2018)Energy consumption, fuel subs…Impact of fuel price fluctuations on airline stock returns (2016)Impact of fuel price fluctuat…The dynamics of economic growth, oil prices, stock market depth, and other macroeconomic variables: Evidence from the G-20 countries (2015)The dynamics of economic grow…Output and substitution elasticities of energy and implications for renewable energy expansion in the ECOWAS region (2015)Output and substitution elast…Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies (2015)Do oil consumption and econom…Can African countries efficiently build their economies on renewable energy? (2015)Can African countries efficie…A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting (2015)A hybrid grid-GA-based LSSVR …Economic growth, energy consumption and sustainable development: The case of the Union for the Mediterranean countries (2014)Economic growth, energy consu…Statistical Methods for Meta-Analysis (1988)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)A simple panel unit root test in the presence of cross‐section dependence (2007)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Introductory Econometrics for Finance (2008)Time Series Analysis: Forecasting and Control (1977)Testing for a Unit Root in Time Series Regression (1988)PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESIS (2004)Time Series Regression with a Unit Root (1987)Inference in Linear Time Series Models with some Unit Roots (1990)A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems (1993)An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis (2012)Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework (2014)Specification Tests in Econometrics (1978)Another look at the instrumental variable estimation of error-components models (1995)Initial conditions and moment restrictions in dynamic panel data models (1998)Econometric Analysis of Cross Section and Panel Data (2001)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)A Simple Panel Unit Root Test in the Presence of Cross Section Dependence (2004)Statistical analysis of cointegration vectors (1988)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Bounds testing approaches to the analysis of level relationships (2001)Testing for Error Correction in Panel Data* (2007)
this work references cited by second hop

References

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  • 1987Co-Integration and Error Correction: Representation, Estimation, and Testing31,983 cited
  • 2003Testing for unit roots in heterogeneous panels15,333 cited
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  • 1999A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test7,482 cited
  • 1999Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors6,715 cited
  • 1999Spurious regression and residual-based tests for cointegration in panel data5,792 cited
  • 1990Statistical Inference in Instrumental Variables Regression with I(1) Processes4,930 cited
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  • 2004The local power of some unit root tests for panel data2,382 cited
  • 2009Renewable energy consumption and economic growth: Evidence from a panel of OECD countries1,636 cited
  • 2010Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): Evidence from a panel of BRIC (Brazil, Russian Federation, India, and China) countries

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1,063 cited
  • 2005Oil price shocks and real GDP growth: empirical evidence for some OECD countries843 cited
  • 2008Energy consumption and economic growth in Central America: Evidence from a panel cointegration and error correction model776 cited
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    • 2015The dynamics of economic growth, oil prices, stock market depth, and other macroeconomic variables: Evidence from the G-20 countries90 cited
    • 2015Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies86 cited
    • 2020MODELING THE NEXUS BETWEEN SUSTAINABLE DEVELOPMENT AND RENEWABLE ENERGY: THE AFRICAN PERSPECTIVES83 cited
    • 2016Impact of fuel price fluctuations on airline stock returns74 cited
    • 2015Output and substitution elasticities of energy and implications for renewable energy expansion in the ECOWAS region73 cited
    • 2018Energy consumption, fuel substitution, technical change, and economic growth: Implications for CO2 mitigation in Egypt72 cited
    • 2015Can African countries efficiently build their economies on renewable energy?69 cited
    • 2015A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting56 cited
    • 2024A blending ensemble learning model for crude oil price forecasting48 cited
    • 2023Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models44 cited
    • 2022A novel nonlinear multivariable Verhulst grey prediction model: A case study of oil consumption forecasting in China39 cited