Basic Econometrics (Record no. 13148)

MARC details
000 -LEADER
fixed length control field 03083nam#a2200217ua#4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780071333450
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 330.015 195
Item number G949B
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Gujarati, Damodar N.
245 ## - TITLE STATEMENT
Title Basic Econometrics
Statement of responsibility, etc by Damodar N. Gujarati and Dawn C. Porter
250 ## - EDITION STATEMENT
Edition statement 5th ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New Delhi
Name of publisher McGraw-Hill Education
Year of publication c2009.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxiii, 886 p.
Other physical details ill.,26 cm.
500 ## - GENERAL NOTE
General note Gujarati and Porter's Basic Econometrics provides an elementary but comprehensive introduction to econometrics without resorting to matrix algebra, calculus, or statistics beyond the elementary level. With the addition of over 100 new data sets, as well as significantly updated research and examples, the Fifth Edition responds to important developments in the theory and practice of econometrics. Basic Econometrics is widely used by students of all fields as the expanded topics and concrete applications throughout the text apply to a broad range of studies.
General note Table of contents Part I: Single-Equation Regression Model Chapter 1: The Nature of Regression Analysis Chapter 2: Two-Variable Regression Analysis: Some Basic Ideas Chapter 3: Two Variable Regression Model: The Problem of Estimation Chapter 4: Classical Normal Linear Regression Model (CNLRM) Chapter 5: Two-Variable Regression: Interval Estimation and Hypothesis Testing Chapter 6: Extensions of the Two-Variable Linear Regression Model Chapter 7: Multiple Regression Analysis: The Problem of Estimation Chapter 8: Multiple Regression Analysis: The Problem of Inference Chapter 9: Dummy Variable Regression Models Part II: Relaxing the Assumptions of the Classical Model Chapter 10: Multicollinearity: What happens if the Regressor are Correlated Chapter 11: Heteroscedasticity: What Happens if the Error Variance is Nonconstant? Chapter 12: Autocorrelation: What Happens if the Error Terms are Correlated Chapter 13: Econometric Modeling: Model Specification and Diagnostic Testing Part III: Topics in Econometrics Chapter 14: Nonlinear Regression Models Chapter 15: Qualitative Response Regression Models Chapter 16: Panel Data Regression Models Chapter 17: Dynamic Econometric Model: Autoregressive and Distributed-Lag Models. Part IV: Simultaneous-Equation Models Chapter 18: Simultaneous-Equation Models. Chapter 19: The Identification Problem. Chapter 20: Simultaneous-Equation Methods. Chapter 21: Time Series Econometrics: Some Basic Concepts Chapter 22: Time Series Econometrics: Forecasting Appendix A: Review of Some Statistical Concepts Appendix B: Rudiments of Matrix Algebra Appendix C: The Matrix Approach to Linear Regression Model Appendix D: Statistical Tables Appendix E: Computer Output of EViews, MINITAB, Excel, and STATA Appendix F: Economic Data on the World Wide Web
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (p. 868-871) and indexes.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Econometrics.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Porter, Dawn C.
Personal name Gunasekar, Sangeetha
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.loc.gov/catdir/toc/ecip0825/2008035934.html
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Accession Number Price effective from Koha item type
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub   2023-06-17 330.015 195 G949B 08306 2023-06-17 Book
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub   2023-06-17 330.015 195 G949B 08307 2023-06-17 Book