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.
Leighton Thomas combines 35 years of teaching experience with his proven reputation as a textbook author to produce this accessible new introduction to statistics and econometrics.
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