Mark V. Siegler wrote this book with your students in mind.

Introduction to Data Analysis and Econometrics is written and structured to help students develop the empirical methods they will need for the workforce, regardless of whether they will ever take another econometrics class. At the link below, you can read more about Siegler’s emphasis and approach.

DETAILED TABLE OF CONTENTS AND LIST OF APPLICATIONS

Table of Contents

PART I: Statistical Foundations

1. An Introduction to Data Analysis in Economics 

2. Displaying and Describing Data

3. Probability and Sampling Distributions 

4. Statistical Inference and Hypothesis Testing 

PART II: Fundamentals of Data Analysis and Econometrics 

5. Correlation, Simple Regression, and Causality

6. An Introduction to Multiple Regression

7. Dummy Variables and Functional Forms

8. Multiple Regression and Model Specification