A Guide to Econometric Methods for the Energy-Growth Nexus

Angeliki Menegaki

• Editore: Academic Press
• Anno: 2020
• ISBN:
  9780128190401
• Argomento: Volkswirtschaftslehre
• Categoria: Ökonometrie

A Guide to Econometric Methods for the Energy-Growth Nexus presents, explains and compares all the available econometrics methods pertinent to the energy-growth nexus. Chapters cover methods and applications, starting with older econometric methods and moving toward new ones. Each chapter presents the method and facts about its applications, providing step-by-step explanations about the ways the method meets the demands of the field. In addition, applied case studies and practical research steps are included to enhance the learning process. By touching on all relevant econometric methods for the energy-growth nexus, this book gives energy-growth researchers and students all they need to tackle the subject matter.

• Presents econometric methods for short- and long-term forecasting
• Provides methods and step-by-step explanations on the ways the method meets the demands of the field
• Contains applied case studies and practical research steps

Indice dei contenuti

• Cover image
• Title page
• Table of Contents
• Copyright
• Dedication
• Preface
• Chapter 1: An editorial and an introduction to the economics of the energy-growth nexus: Current challenges for applied and theoretical research
• Chapter 2: Stationarity and an alphabetical directory of unit roots often used in the energy-growth nexus
• Chapter 3: An A–Z guide for complete research when using the autoregressive distributed lag (ARDL) bounds test approach in the broader energy-growth nexus
• Chapter 4: A note on the VECM approach in applications of the energy-growth nexus
• Chapter 5: Adjustment speeds, elasticities, and semielasticities: Their importance in the energy-growth nexus
• Chapter 6: Quantile regression approach: A new approach in the energy-growth Nexus with substantial benefits in asymmetry accounting
• Chapter 7: Time-varying Fourier analysis in the energy-growth nexus or the X-variable-growth nexus
• Chapter 8: Ways of treatment of cross-sectional dependence in the energy-growth nexus and the X-variable growth nexus
• Chapter 9: The low profile of simultaneous equation modeling in the energy-growth nexus
• Chapter 10: The Johansen cointegration method and several others during the evolution of the energy-growth nexus and the broader “X-variable”-growth nexus
• Chapter 11: How does the wavelet approach satisfy the required deliverables in the energy-growth nexus studies?
• Chapter 12: Variance decomposition approaches and impulse response functions in the energy-growth nexus
• Chapter 13: A note on nonparametric and semiparametric strategies in the energy-growth nexus
• Chapter 14: Making the energy-growth nexus useful through a metaanalysis
• Chapter 15: An A-Z guide for the energy-growth nexus studies
• Chapter 16: A conclusion to the guide in energy-growth nexus
• Index