INTRODUCTORY ECONOMETRICS RAMU RAMANATHAN PDF

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Goodreads helps you keep track of books you want to read. Want to Read saving…. Want to Read Currently Reading Read. Other editions. Enlarge cover. Error rating book. Refresh and try again. Open Preview See a Problem? Details if other :. Thanks for telling us about the problem. Return to Book Page. Introductory Econometrics with Applications by Ramu Ramanathan. Introductory Econometrics with Applications offers an ideal combination of econometric theory and hands-on practical training for undergraduate and graduate courses.

The authorAEs ambition is to provide realistic applications without sacrificing theoretical underpinnings. He uses a logical step-by-step approach to walk students through numerous real-world examples of model Introductory Econometrics with Applications offers an ideal combination of econometric theory and hands-on practical training for undergraduate and graduate courses.

He uses a logical step-by-step approach to walk students through numerous real-world examples of model specification, estimation, and hypothesis testing. The book also succeeds at being self-contained. By including background information on mathematics, probability, statistics, and software applications, students have all the information they need in one place. Get A Copy. Hardcover , pages. Published August 31st by S.

More Details Other Editions 5. Friend Reviews. To see what your friends thought of this book, please sign up. To ask other readers questions about Introductory Econometrics with Applications , please sign up.

Sir, i need a dataset of Ramanathan's sir book so that i can run the practical exercise for the econometric techniques. See 1 question about Introductory Econometrics with Applications…. Lists with This Book. This book is not yet featured on Listopia. Community Reviews.

Showing Rating details. More filters. Sort order. Start your review of Introductory Econometrics with Applications. Jun 03, Louis rated it really liked it Recommends it for: Learning statistics and econometrics, including full versions of software. Shelves: math-stats. I've been realizing that most of the data I work with are observational as opposed to the experimental data that most statistics that I know are designed for.

So I've been working through this econometrics text. By way of background, I've taken Statistics as undergrad using books and tables, as a master's, which was essentially using SAS, and as a grad student, in a very mathematical sense. Working through Intro. Econometrics with Applications was learning what all the math based stats in grad s I've been realizing that most of the data I work with are observational as opposed to the experimental data that most statistics that I know are designed for.

Econometrics with Applications was learning what all the math based stats in grad school, but actually understanding it. And the computer package Gretl makes the learning interactive. Ramanathan's biggest strength is he does not stop at teaching definitions, formula and methods. And his example applications do not stop at working through methodology. He uses the computer output to build intuition, asking the question of why this variable is what it is, or why two models are different.

The use of Gretl enhances this. The scripts and data sets make it easy to see the examples at work, but also make it very easy to explore.

I found myself running the scripts, then exploring the data sets in Gretl to further analysis, and building my understanding. The mathematical derivations are there, but having both the theory and the computer outputs for discussion make for a good match.

The book datasets and examples are bundled into the econometrics package Gretl, which is an open source program available for Windows, Mac, Linux. And more flexible then the menu based packages like Minitab or Excel based statistical packages.

Great for programming, but harder for exploring data to the neophyte. I think that texts like this that are integrated with a full fledged statistics package as opposed to purely math or a demo version make the learning and applying of statistics different. The chapter summaries become short forms of methodology as opposed to formula with the assumptions that the various methods repeated as well.

I found this to be a particularly effective format for a first book on a subject assumes a first sequence in undergrad statistics has been completed. As of now, I've gone through 5 chapters of the book, working through the examples. As I do this, I am learning a lot about analysis, that is going to inform a project I am starting up. That is probably the best testimony for a book of this type. Feb 07, Abdullah Alawadhi rated it really liked it. Very good book for the basics of econometrics.

Isabella rated it really liked it May 29, Roshmiantony rated it it was ok Aug 01, Dan H rated it liked it Nov 17, Lei rated it it was amazing Oct 07, Bela Szabadi rated it liked it Feb 28, Vinh rated it it was amazing Jun 05, Julia rated it it was amazing Oct 13, Elle Sabine rated it liked it Nov 01, Saras Neelamagan rated it it was amazing Nov 29, Kim Bo Min rated it it was amazing Mar 23, Sakti Golder marked it as to-read Nov 20, Sina is currently reading it Jul 07, BookDB marked it as to-read Oct 14, Joseph added it Aug 26, Zsuzsanna added it Jan 17, Ferdaa added it Aug 07, Scott marked it as to-read Oct 25, Fenomanana marked it as to-read Feb 15, Papusson marked it as to-read Aug 27, Garima marked it as to-read Dec 04, Ravi Pulkesin marked it as to-read Dec 08, A Rahim marked it as to-read Dec 11, Abebe Getaneh marked it as to-read Jan 08, Haha Pham marked it as to-read Jan 30, Lenguyen marked it as to-read Mar 03, Aaa added it Mar 08, Kshitij added it Mar 20, Sanjay Joshi marked it as to-read Mar 26, Nandita Neelum marked it as to-read Apr 17, Houndes added it Apr 24, Marci marked it as to-read May 11, Rohit marked it as to-read Jun 02, Rawathy Elhelwa marked it as to-read Jun 13, There are no discussion topics on this book yet.

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