Basic Econometrics (Int'l Ed)

Häftad, Engelska, 2009

870 kr

Slutsåld

Beskrivning

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.

Produktinformation

Utgivningsdatum:2009-01-16
Mått:200 x 250 x 30 mm
Vikt:2 g
Format:Häftad
Språk:Engelska
Upplaga:5
Förlag:McGraw-Hill Education - Europe
ISBN:9780071276252

Utforska kategorier

Mikroekonomi inom Ekonomi och Ledarskap

Mer om författaren

After teaching for more than 28 years at the City University of New York, He is currently a professor of Economics in the Department of Social Sciences at the U.S. Military Academy at West Point, New York. Dr. Gujarati received his M.Com. degree from the University of Bombay in 1960, his M.B.A. degree from the University of Chicago in 1963, and his Ph.D. degree from the University of Chicago in 1965. Dr. Gujarati has published extensively in recognized national and international journals, such as the Review of Economics and Statistics, the Economic Journal, the Journal of Financial and Quantitative Analysis, the Journal of Business, the American Statistician, and the Journal of Industrial and Labor Relations.

Innehållsförteckning

Part I: Single-Equation Regression ModelChapter 1: The Nature of Regression AnalysisChapter 2: Two-Variable Regression Analysis: Some Basic IdeasChapter 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 TestingChapter 6: Extensions of the Two-Variable Linear Regression ModelChapter 7: Multiple Regression Analysis: The Problem of Estimation Chapter 8: Multiple Regression Analysis: The Problem of InferenceChapter 9: Dummy Variable Regression ModelsPart II: Relaxing the Assumptions of the Classical ModelChapter 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 CorrelatedChapter 13: Econometric Modeling: Model Specification and Diagnostic Testing Part III: Topics in EconometricsChapter 14: Nonlinear Regression Models Chapter 15: Qualitative Response Regression ModelsChapter 16: Panel Data Regression ModelsChapter 17: Dynamic Econometric Model: Autoregressive and Distributed-Lag Models. Part IV: Simultaneous-Equation ModelsChapter 18: Simultaneous-Equation Models. Chapter 19: The Identification Problem. Chapter 20: Simultaneous-Equation Methods. Chapter 21: Time Series Econometrics: Some Basic ConceptsChapter 22: Time Series Econometrics: ForecastingAppendix A: Review of Some Statistical ConceptsAppendix B: Rudiments of Matrix AlgebraAppendix C: The Matrix Approach to Linear Regression ModelAppendix D: Statistical TablesAppendix E: Computer Output of EViews, MINITAB, Excel, and STATAAppendix F: Economic Data on the World Wide Web