Master econometrics with a practical, classroom-friendly introduction. This book teaches how economic theories meet the facts through estimation, with a clear focus on methods like maximum likelihood and limited information techniques.
It emphasizes real problems over abstract math, using examples and exercises to show how estimation works in the real world. The work is designed for teaching, with digressions that illuminate concepts without sacrificing rigor. It also explains identification, instrumental variables, and how to judge the accuracy of estimates, all while relating techniques to everyday economic questions.
- How to turn economic ideas into testable estimates from data
- Foundations of likelihood methods and how they compare to least squares
- Practical guidance on identification, instruments, and model specification
- Worked examples and end-of-chapter exercises to reinforce learning
Ideal for readers who want a clear, usable path through econometric methods, from students to teachers and practitioners.