Das Arbeitsbuch behandelt einen Querschnitt mathematischer Themen, die bei Bachelorstudiengängen wie Betriebswirtschafts- und Volkswirtschaftslehre, aber auch bei interdisziplinären Studiengängen...
La 12eédition de ce manuel traite, grâce à une constante mise à jour, de tous les grands domaines de l’économétrie moderne ainsi que de l’ensemble des tests statistiques qui en sont issus. Chaque...
This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students. It covers key topics in econometrics by using step-by-step examples in Gretl...
This textbook teaches the basics of econometrics and focuses on the acquisition of methods and skills that are essential for any student to succeed in their studies, as well as for any...
This edited volume celebrates the profound legacy of Peter Schmidt, an eminent figure in econometric research. Originally featured as a Special Issue in Empirical Economics in 2023, this book...
This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. In light of the big data revolution and the emergence of...
This book provides a guide to such budding social researchers, who are non-native English speakers drawing examples from literature to show how to conduct a research, present research results...
Revised and updated for the second edition, this textbook allows students to work through classic texts in economics and finance, using the original data and replicating their results. In this...
This book introduces empirical methods for analyzing energy markets. Even beginners in econometrics and mathematical finance must be able to learn how to utilize these methodologies and how to...
Machine learning pour l?économétrie est un ouvrage destiné aux économistes qui souhaitent appréhender les techniques de machine learning modernes ? de leurs performances en matière de prédiction...
This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in...
Business Statistics: A Decision-Making Approach, 11th Edition, is an introductory text for students who do not necessarily have an extensive mathematics background but who need to understand how...
Forecasting from multi-equation models has very rarely been the focus in econometric literature. In response, this book presents a range of methodologies to approach this complex field and offers...
L’ouvrage couvre un large éventail de modèles relevant de l’économétrie dynamique. Sa première partie est consacrée à l’analyse des modèles canoniques linéaires, qu’ils soient stationnaires ou...
Les principales formules pour réussir vos calculs financiers.. Les mathématiques financières sont un outil pour l'entreprise lors de choix stratégiques (emprunts et placements / investissements...
Seasonality in economic time series can "obscure" movements of other components in a series that are operationally more important for economic and econometric analyses. In practice, one often...
This book provides a guide to such budding social researchers, who are non-native English speakers drawing examples from literature to show how to conduct a research, present research results...
This Open Access Brief presents the KAPSARC Global Energy Macroeconometric Model (KGEMM). KGEMM is a policy analysis tool for examining the impacts of domestic policy measures and global economic...