Principles of Econometrics : An Introduction [Using R]
By: Hatekar, Neeraj R
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Material type: 
BookSeries: Publisher: New Delhi : SAGE Publications Pvt. Ltd, 2010Edition: 1st ed.Description: 464 p.ISBN: 8132104692 (paperback); 9788132104698 (paperback).Subject(s): StatisticsDDC classification: 330.015195 Hatekar 27648 1/e 2010 Statistics Summary: This textbook makes learning the basic principles of econometrics easy for all undergraduate and graduate students of economics. It specifically caters to the syllabus of the Introductory Econometrics course taught in the third year of the Bachelor of Economics program in many universities. It takes the readers step-by-step from introduction to understanding, first introducing the basic statistical tools like concepts of probability, statistical distributions, and hypothesis tests, and then going on to explain the two variable linear regression models along with certain additional tools like use of dummy variables, various data transformations amongst others. The most innovative feature of this textbook is that it familiarizes students with the role of R, which is a flexible and popular programming language. With its help, the student will be able to implement a linear regression model and deal with the associated problems with substantial confidence.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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UVAS Library Statistics | Social Science | 330.015195 Hatekar 27648 1/e 2010 Statistics (Browse shelf) | Available | 27648 |
This textbook makes learning the basic principles of econometrics easy for all undergraduate and graduate students of economics. It specifically caters to the syllabus of the Introductory Econometrics course taught in the third year of the Bachelor of Economics program in many universities. It takes the readers step-by-step from introduction to understanding, first introducing the basic statistical tools like concepts of probability, statistical distributions, and hypothesis tests, and then going on to explain the two variable linear regression models along with certain additional tools like use of dummy variables, various data transformations amongst others. The most innovative feature of this textbook is that it familiarizes students with the role of R, which is a flexible and popular programming language. With its help, the student will be able to implement a linear regression model and deal with the associated problems with substantial confidence.
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