This book harbors an updated and standard material on the various aspects of Econometrics. It covers both fundamental and applied aspects and is intended to serve as a basis for a course in Econometrics and attempts at satisfying a need of postgraduate and doctoral students of Economics. It is hoped that, this book will also be worthwhile to teachers, researchers, professionals etc.
Note: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.
Dr. K. Nirmal Ravi Kumar is presently working as Professor and Head (Agricultural Economics) in Agricultural College, Mahanandi in Acharya N.G. Ranga Agricultural University. He has a brilliant academic career and specialized in 'Agricultural Marketing' both in his post-graduate and doctoral programmes. He is actively involved both in agricultural research and teaching activities during the past fifteen years in the University. He published 55 articles in popular agricultural journals of both national and international repute. He also contributed two technical bulletins on economic aspects of irrigation water management highlighting the research priorities in major irrigation commands of Andhra Pradesh and need based technological interventions to address the same during his active stint in "Andhra Pradesh Water Management Project", an international project funded by The Royal Netherlands Embassy. His interested areas include International trade of Indian agriculture, Farming systems approach, Irrigation water management etc.
1. Definitions and Scope of Econometrics 2. Correlation 3. Regression 4.Basic Concepts in Simple (Two variable) Regression Analysis (SLRM) 5. Assumptions of the Classical Linear Regression Model (CLRM) 6. Establishing the criteria for judging the Goodness of the Parameter Estimates 7. Tests of significance of the Parameter estimates and Gauss-Markov theorem 8. Functional Form Specifications of Linear regression model 9. Multiple Linear Regression Model (MLRM) 10. Relaxing the Assumptions of CLRM 11. Multicollinearity 12. Heteroscedasticity 13. Autocorrelation 14. Regression on Dummy Variables, References
Dewey Decimal Classfication (DDC)