Juan M.Rodriguez Poo – Computer-Aided Introduction to Econometrics

Juan M.Rodriguez Poo – Computer-Aided Introduction to Econometrics

Juan M.Rodriguez Poo – Computer-Aided Introduction to Econometrics

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Juan M.Rodriguez Poo – Computer-Aided Introduction to Econometrics

The advent of low cost computation has made many econometric models feasible, and computational methods are an important part of the theory. It’s not like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it The book gives a sound theoretical introduction to the topic and allows the reader to learn from theory through an internet based interactive computing method. Linear regression analysis is one of the theoretical issues presented.

REVIEW

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The book is useful because the reader, along with learning the theory, can actually practice the different techniques described in the book through an internet based interactive computing method. There is an electronic version of the book available at www.xplore-stat.de. Students and researchers working in econometrics should benefit from the book. The professor has done a good job. Amita Majumder is the author of Sankhya: The Indian Journal of Statistics. 66 (2), 2004,

There are seven contributions to different fields of econometrics in this book. Professional skills in econometrics are addressed to undergraduate students in the book. The basic intention of the book is to teach econometrics using the resources from the internet by incorporating an interactive computing internet based method that allows to practice all the techniques presented and discussed in this book. The editor refers to his book as an e-book. Herbert S. Buscher is a writer. 1012

The book has a strong interrelation with the econometric internet software package XploRe. The set of methods that are covered in the book give an interesting introduction to the elementary and some advanced topics in econometrics and time series analysis. The book is an interesting treatment of the subject and may serve as a textbook for a course in applied econometrics for students or practitioners. Peter Hackl is the author of Statistical Papers. 45(4), 2004)

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