Econometrics with Online Learning Centre
Autor Samuel Cameronen Limba Engleză Paperback – feb 2005
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Specificații
ISBN-13: 9780077104283
ISBN-10: 0077104285
Pagini: 484
Dimensiuni: 203 x 254 x 25 mm
Greutate: 0.98 kg
Editura: McGraw Hill LLC
Locul publicării:United Kingdom
ISBN-10: 0077104285
Pagini: 484
Dimensiuni: 203 x 254 x 25 mm
Greutate: 0.98 kg
Editura: McGraw Hill LLC
Locul publicării:United Kingdom
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Cuprins
Chapter 1:Introducing Econometrics
Chapter 2:Statistical Testing and Modelling: The Basics
Chapter 3:The Classical Linear Regression Model Introduced
Chapter 4:Preparing and Using Data
Chapter 5:What do all these tests and statistics mean?
Chapter 6:Making Regression Analysis More Useful I: Transformation
Chapter 7:Making Regression Analysis More Useful II: Dummies and Trends
Chapter 8:Predicting and Explaining Discrete Events: Logit and Probit Models
Chapter 9:More Tests: Diagnosing the results of basic models
Chapter 10:Multicollinearity: Serious Worry or Minor Nuisance?
Chapter 11:Problem Solving: Heteroscedasticity
Chapter 12:Multiple equation models: Specification and the Identification Problem
Chapter 13:Multiple equation models: Methods of Estimation
Chapter 14:Problem Solving: Time-Series
Chapter 15:Conclusion Appendices:
1Blank Template of Summary Sheet for Review Studies.
2Brief Description of the Excel files of Data Sets.
3The Notion of Causality
4 Statistical Tables
5 Probability
6 Standard error of the regression coefficient
7 Derivation of the normal equations for a multiple regression mode
Chapter 2:Statistical Testing and Modelling: The Basics
Chapter 3:The Classical Linear Regression Model Introduced
Chapter 4:Preparing and Using Data
Chapter 5:What do all these tests and statistics mean?
Chapter 6:Making Regression Analysis More Useful I: Transformation
Chapter 7:Making Regression Analysis More Useful II: Dummies and Trends
Chapter 8:Predicting and Explaining Discrete Events: Logit and Probit Models
Chapter 9:More Tests: Diagnosing the results of basic models
Chapter 10:Multicollinearity: Serious Worry or Minor Nuisance?
Chapter 11:Problem Solving: Heteroscedasticity
Chapter 12:Multiple equation models: Specification and the Identification Problem
Chapter 13:Multiple equation models: Methods of Estimation
Chapter 14:Problem Solving: Time-Series
Chapter 15:Conclusion Appendices:
1Blank Template of Summary Sheet for Review Studies.
2Brief Description of the Excel files of Data Sets.
3The Notion of Causality
4 Statistical Tables
5 Probability
6 Standard error of the regression coefficient
7 Derivation of the normal equations for a multiple regression mode