Econometrics with Online Learning Centre

Broschiertes Buch

Econometrics aims to introduce students with little or no previous experience in econometrics to this important discipline. This text focuses on explaining why econometrics exists and how it can be used in everyday life. This text adopts a strong student-focused approach to the discipline. In doing so, it aims to address fundamental issues in econometrics in an accessible manner for students, who are often put off by the difficult nature of econometrics.

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Produktbeschreibung

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

Produktdetails
Verlag: McGraw Hill LLC
Seitenzahl: 484
Erscheinungstermin: Februar 2005
Englisch
Abmessung: 254mm x 203mm x 25mm
Gewicht: 975g
ISBN-13: 9780077104283
ISBN-10: 0077104285
Artikelnr.: 21500361

Herstellerkennzeichnung
Produktsicherheitsverantwortliche/r
Europaallee 1
36244 Bad Hersfeld
gpsr@libri.de

Produktdetails

Verlag: McGraw Hill LLC
Seitenzahl: 484
Erscheinungstermin: Februar 2005
Englisch
Abmessung: 254mm x 203mm x 25mm
Gewicht: 975g
ISBN-13: 9780077104283
ISBN-10: 0077104285
Artikelnr.: 21500361

Herstellerkennzeichnung
Produktsicherheitsverantwortliche/r
Europaallee 1
36244 Bad Hersfeld
gpsr@libri.de

Autorenporträt

Samuel Cameron is a Reader In Economics at the University of Bradford

Inhaltsangabe

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

Inhaltsangabe