Summary Yale ECON 1117 Introduction to Data Analysis and Econometrics | Complete Study Guide

YALE ECON 1117
INTRODUCTION TO DATA ANALYSIS AND
ECONOMETRICS
Expanded Complete Study Guide | 2026-2027

Probability, statistics, sampling, causal
inference, regression, model specification,
machine learning, and empirical research.

Independent Study Resource
Not affiliated with or endorsed by Yale
University.

,How to Use This Guide
Study each chapter actively. Identify the research question before choosing a method. For quantitative work, write the model or
formula first, keep units visible, and explain what the estimate means. For causal questions, always identify the comparison and
the identifying assumption.

Course alignment
Yale's 2026-2027 catalog describes ECON 1117 as an introduction to data analysis at the beginning of the econometrics
sequence, emphasizing direct work with data and modern empirical economics. It lists probability, statistics and sampling,
selection, causation and causal inference, regression and model specification, machine learning, and big data among its
themes.

, Table of Contents
1. From Economic Question to Data

2. Data Quality, Sampling, and Measurement

3. Probability Foundations

4. Descriptive Statistics and Exploration

5. Sampling Distributions and Inference

6. Hypothesis Testing and P-Values

7. Confidence Intervals and Effect Size

8. Selection, Causation, and Counterfactuals

9. Regression Foundations

10. Model Specification and Interpretation

11. Multiple Regression and Controls

12. Causal Inference in Practice

13. Machine Learning and Big Data

14. Empirical Research, Ethics, and Exam Strategy