Essentials od econometric / Damodar Gujarati

By: Material type: TextTextPublication details: [Boston] : McGraw Hill Education, c1999Edition: Second editionDescription: xxv, 534 pages ; 25 cmISBN:
  • 73032654
Subject(s): LOC classification:
  • HB 139 .G85 1999
Contents:
1. The Nature and scope of econometrics -- Part I : Basics of probability and statistics -- 2. A Review of basic statistical concepts 3. Some important probability distributions -- 4. Statistical inference : estimation and hypothesis testing -- Part II: The Linear regression model -- 5. Basic ideas of linear regression : the two-variable model -- 6. The Two-Variable Regression Model. Hypothesis Testing -- 7. Multiple Regression: Estimation and Hypothesis Testing -- 8. Functional Forms of Regression Models -- 9. Regression on Dummy Explanatory Variables -- Part III: Regression Analysis in Practice -- 10. Multicollinearity : What Happens if Explanatory Variables are Correlated -- 11. Heteroscedasticity : What Happens if the Error Variance is Nonconstant -- 12. Autocorrelation : What Happens if Error Terms are Correlated -- 13. Model Selection : Criteria and Tests -- 14. Selected Topics in Single Regression
Summary: Provides an introduction to econometric theory and techniques, especially linear regression analysis.
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Books Books National University - Manila LRC - Annex General Circulation General Education GC HB 139 .G85 1999 (Browse shelf(Opens below)) c.1 Available NULIB000005439
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GC HB 172.5 .B57 2011 c.1 Macroeconomics / GC HB 172.5 .B57 2011 c.2 Macroeconomics / GC HB 172.5 .D67 2011 Macroeconomics / GC HB 139 .G85 1999 Essentials od econometric / GC HB 139 .T46 1997 Modern econometrics : an introduction / GC HB 172 .B26 2015 c.1 Intermediate microeconomics : a tool-building approach GC HB 172 .B38 2022 Basic microeconomics /

Includes bibliographical references and index.

1. The Nature and scope of econometrics -- Part I : Basics of probability and statistics -- 2. A Review of basic statistical concepts 3. Some important probability distributions -- 4. Statistical inference : estimation and hypothesis testing -- Part II: The Linear regression model -- 5. Basic ideas of linear regression : the two-variable model -- 6. The Two-Variable Regression Model. Hypothesis Testing -- 7. Multiple Regression: Estimation and Hypothesis Testing -- 8. Functional Forms of Regression Models -- 9. Regression on Dummy Explanatory Variables -- Part III: Regression Analysis in Practice -- 10. Multicollinearity : What Happens if Explanatory Variables are Correlated -- 11. Heteroscedasticity : What Happens if the Error Variance is Nonconstant -- 12. Autocorrelation : What Happens if Error Terms are Correlated -- 13. Model Selection : Criteria and Tests -- 14. Selected Topics in Single Regression

Provides an introduction to econometric theory and techniques, especially linear regression analysis.

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