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Modern Econometrics: An Introduction
 
 
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Modern Econometrics: An Introduction [Paperback]

R. Leighton Thomas (Author)
5.0 out of 5 stars  See all reviews (1 customer review)


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Book Description

0201876949 978-0201876949 January 1997 Pap/Dis
This text has been specifically written for undergraduate students and will provide the basic background in statistics and matrix alegbra, necessary to an understanding of econometrics.

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Product Details

  • Paperback: 548 pages
  • Publisher: Longman Group United Kingdom; Pap/Dis edition (January 1997)
  • Language: English
  • ISBN-10: 0201876949
  • ISBN-13: 978-0201876949
  • Product Dimensions: 9.1 x 6.8 x 1.2 inches
  • Shipping Weight: 1.8 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,592,926 in Books (See Top 100 in Books)

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2 of 2 people found the following review helpful:
5.0 out of 5 stars Excellent book for starter in Econometrics, February 19, 1998
By A Customer
This review is from: Modern Econometrics: An Introduction (Paperback)
Highly recommended to those study in UK! With concise explanation, helpful examples of Microfit printout, it illustrates the concept of econometric clearly. I especially recommended the chapters related to violation of assumptions of BLUE. It's best for courses with Microfit as their application software cause it explains the Microfit printout very clearly

It is available in UK bookshops though not available on Amazon.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
classical multiple regression model, letters denote deviations, population regression equation, differenced terms, estimating dynamic models, disequilibrium errors, population regression line, important test statistics, distributed lag equation, sample regression equation, sample regression line, unrestricted equation, disequilibrium relationship, simplification search, real total expenditure, classical regression techniques, recursive least squares estimates, nonlinear scatter, heteroskedastic disturbances, orthogonal innovations, geometric lag, resultant estimators, moving average disturbance, mean weekly earnings, maximum lag length
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Central Limit Theorem, The White, Mean of Dependent Variable, Regressor Coefficient Standard Error T-Ratio, Electronic Publishing, Ordinary Least Squares Estimation Dependent, Maximum of Log-likelihood, Hence Var
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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