02568nam a22002297a 4500 20250506161213.0 250429b |||||||| |||| 00| 0 eng d 9789391820312 AIMIT LIBRARY 1 330.015195 SENJ Sengupta, Jhumur. 209107 Introduction to econometrics / By Jhumur Sengupta. 1st ed. New Delhi : Sultan Chand & Sons , 2023. xvi,174p. ; PB 22.3 cm The book is intended for the Core Course on “Introductory Econometrics” for Economics Honours students at the Undergraduate level according to the National Education Policy (NEP), 2020 and Choice Based Credit System syllabus. All the UGC-recognized Universities are the potential users of the book. In addition, the book covers a part of the UGC NET Syllabus. Students and researchers who want to learn basic Econometric theory will find the book very useful. The book addresses the basic theories of Econometrics in a clear and lucid manner. Salient Fetures The book covers topics including regression models, parameter estimation techniques, properties of the estimators, statistical testing and model specification problems in detail. Elementary concepts of statistics have been provided in Chapter 1 of the book. For ease of understanding, chapters on advanced topics are covered in the later part of the book. Statistical and mathematical derivations are used in the book in a thorough manner for the students and researchers who do not have any exposure to the course Econometrics. Each chapter contains several examples and exercise problems illustrating the applications of econometric theories. Some of the examples and exercise problems have been taken from the UGC NET Examination, Examinations at several Universities and Competitive Examinations. Every effort has been made to explain the basic theories in a simple way for easy understanding of the subject. A discussion on Computer Packages STATA and R is given in the Appendix Section. Contents: Nature and Scope of Econometrics Estimation of Classical Linear Regression Model Properties of Least Square Estimators Statistical Inference in Linear Regression Model Data Problems & Violations of Classical Assumptions Specification Analysis Estimation of classical linear regression model 209108 Specification analysis 209109 Statistical inference in linear regression model 209110 ddc BK 1st 330.015195 SENJ 234265 234265 0 0 ddc 0 0 MBA AIMIT AIMIT ECO 2025-03-14 Biblios Book Point 295.00 Bill no:7467; Bill dt:2025/3/11 0 330.015195 SENJ MBA15062 2026-05-23 00:00:00 250.75 2025-04-29 BK 0 0 ddc 0 0 MBA AIMIT AIMIT ECO 2025-03-14 Biblios Book Point 295.00 Bill no:7467; Bill dt:2025/3/11 0 330.015195 SENJ MBA15063 2026-05-23 00:00:00 250.75 2025-04-29 BK