Basic Econometrics W/Software Disk / Edition 4

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More About This Textbook


Gujarati’s Basic Econometrics provides an elementary but comprehensive introduction to econometrics without resorting to matrix algebra, calculus, or statistics beyond the elementary level. Because of the way the book is organized, it may be used at a variety of levels of rigor. For example, if matrix algebra is used, theoretical exercises may be omitted. A CD of data sets is provided with the text.

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Product Details

  • ISBN-13: 9780072478525
  • Publisher: McGraw-Hill Companies, The
  • Publication date: 3/18/2002
  • Edition description: REV
  • Edition number: 4
  • Product dimensions: 7.00 (w) x 9.00 (h) x 1.73 (d)

Table of Contents

Introduction 1
Pt. I Single-Equation Regression Models 15
1 The Nature of Regression Analysis 17
2 Two-Variable Regression Analysis: Some Basic Ideas 37
3 Two-Variable Regression Model: The Problem of Estimation 58
4 Classical Normal Linear Regression Model (CNLRM) 107
5 Two-Variable Regression: Interval Estimation and Hypothesis Testing 119
6 Extensions of the Two-Variable Linear Regression Model 164
7 Multiple Regression Analysis: The Problem of Estimation 202
8 Multiple Regression Analysis: The Problem of Inference 248
9 Dummy Variable Regression Models 297
Pt. II Relaxing the Assumptions of the Classical Model 335
10 Multicollinearity: What Happens if the Regressors Are Correlated? 341
11 Heteroscedasticity: What Happens if the Error Variance is Nonconstant? 387
12 Autocorrelation: What Happens if the Error Terms Are Correlated 441
13 Econometric Modeling: Model Specification and Diagnostic Testing 506
Pt. III Topics in Econometrics 561
14 Nonlinear Regression Models 563
15 Qualitative Response Regression Models 580
16 Panel Data Regression Models 636
17 Dynamic Econometric Models: Autoregressive and Distributed-Lag Models 656
Pt. IV Simultaneous-Equation Models 715
18 Simultaneous-Equation Models 717
19 The Identification Problem 735
20 Simultaneous-Equation Methods 762
21 Time Series Econometrics: Some Basic Concepts 792
22 Time Series Econometrics: Forecasting 835
App. A A Review of Some Statistical Concepts 869
App. B Rudiments of Matrix Algebra 913
App. C The Matrix Approach to Linear Regression Model 926
App. D: Statistical Tables 959
App. E Economic Data on the World Wide Web 976
Selected Bibliography 979
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  • Anonymous

    Posted November 7, 2006

    good intermediate book

    This is an intermediate text, not introductory, ideally you should have completed an introductory book on econometrics. You should also have done a first-year course in calculus. Economic studies are not a pre-requirement, although it would be beneficial. Otherwise, it could be hard there is a lot of mathematical proof analysis and theory. On the positive side, this book really has a broad and deep coverage. The text is not hard to understand, he writes and explains very well and clearly. For basic and practical everyday business analysis you really don¿t need all this material, an introductory book is sufficient, as I think this book is mainly for academics-to-be.

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  • Anonymous

    Posted February 9, 2003

    it gives you -almost- all the basics

    A very good textbook for undergraduate econometrics; matrix algebra is replaced by basic algebra; this helps the reader since you only need very simple math&statistics tools to understand it. After reading you'll have a deep and clear idea of what econometrics is. Unfortunately, the "time series" part should be completed with a more "rigorous" view because it is not so easy as it seems!

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  • Anonymous

    Posted January 23, 2009

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