The primary aim of this book is to provide a text for economics students which gives a good balance between statistics and econometrics.The intention is to prepare students for an introductory course in econometrics, while instilling a clear understanding of statistics. It is suitable for first or second year courses in Introductory Statistics or Introductory Statistics and Econometrics on economics degrees. The book is characterized by Leighton Thomas' clear style of explanation, gained through 35 years of teaching experience.
Prerequisites Part I Statistics
Chapter 1 - Discrete probability distributions
Chapter 2 - Continuous variables
Chapter 3 - Basic statistical inference
Chapter 4 - Hypothesis Testing 1
Chapter 5 - Hypothesis Testing 2
Chapter 6 - More about probability and inference
Chapter 7 - Chi-squared tests and nonparametric statistics
Part II Econometrics
Chapter 8 - What is econometrics?
Chapter 9 - Two variable correlation and regression
Chapter 10 - Introduction to non-linear regression
Chapter 11 - What makes a good estimator?
Chapter 12 - The classical regression model with two variables
Chapter 13 - An introduction to multiple regression
Chapter 14 - Models with qualitative effects
Chapter 15 - Some problems with the classical model
Chapter 16 - Introducing dynamic econometrics
Chapter 17 - A possible best-practice methodology
Solutions to examples
Index
