Modern Econometric Modelling for Developing Economies 5

Modern Econometric Modelling for Developing Economies, Volume V Modern Econometric Modelling for Developing Economies, Volume V is a practical and advanced guide that helps readers understand and use modern econometric and data science tools for real economic problems. It is written for students, researchers, lecturers, and policy professionals who want strong, usable knowledge of today’s modelling methods. This volume focuses on non-linear econometric models, ARDL and NARDL frameworks, experimental evaluation methods, machine learning, big data, and artificial intelligence in economics. The book explains each method in a clear, step-by-step way, showing how models are built, tested, and applied in developing economy settings. Readers will learn how to handle mixed data types, run dynamic models, perform diagnostic tests, and use modern forecasting and nowcasting techniques. It also shows how alternative data and data science methods can improve economic analysis where traditional data systems are weak. With a balance of theory and application, this book connects classical econometrics with modern computational approaches. It is a valuable resource for anyone who wants to build strong skills in modern econometric modelling and data-driven economic decision making in developing economies