Fundamentals of Applied Econometrics is designed for an applied,
undergraduate econometrics course providing students with an
understanding of the most fundamental econometric ideas and tools.
The text serves both the student whose interest is in understanding how
one can use sample data to illuminate economic theory and the student
who wants and needs a solid intellectual foundation on which to build
practical experiential expertise.
Divided into two parts, the first half provides a thorough
undergraduate-level treatment of multiple regressions including an
extensive statistics review with integrated, hands-on Acting Learning
Exercises so students learn by doing.
The second half of the book covers a number of advanced topics: panel
data modeling, time series analysis, binary-choice modeling, and an
introduction to GMM.
This latter portion of the book is very suitable for a more advanced
course: a second-term undergraduate course, a Master's level course, or
as a companion reading for a Doctoral level course.