14.310x Data Analysis for Social Scientists (Spring 2023, MIT OCW) | Economics

14.310x Data Analysis for Social Scientists

14.310x Data Analysis for Social Scientists (Spring 2023, MIT OCW). Instructors: Prof. Esther Duflo and Dr. Sara Ellison. This course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. We will start with essential notions of probability and statistics. We will proceed to cover techniques in modern data analysis: regression and econometrics, design of experiments, randomized control trials (and A/B testing), machine learning, and data visualization. We will illustrate these concepts with applications drawn from real-world examples and frontier research. Finally, we will provide instruction on the use of the statistical package R, and opportunities for students to perform self-directed empirical analyses. (from ocw.mit.edu)

Introduction

Lecture 01 - Introduction

Lecture 02 - Fundamentals of Probability

Lecture 03 - Random Variables, Distributions, and Joint Distributions

Lecture 04 - Gathering and Collecting Data

Lecture 05 - Summarizing and Describing Data

Lecture 06 - Joint, Marginal, and Conditional Distributions

Lecture 07 - Functions of Random Variables

Lecture 08 - Moments of Distribution

Lecture 09 - Expectation, Variance, and Introduction to Regression

Lecture 10 - Special Distributions

Lecture 11 - Special Distributions (cont.), The Sample Mean, Central Limit Theorem, and Estimation

Lecture 12 - Assessing and Deriving Estimators

Lecture 13 - Confidence Intervals, Hypothesis Testing, and Power Calculations

Lecture 14 - Causality

Lecture 15 - Analyzing Randomized Experiments

Lecture 16 - (M0re) Explanatory Data Analysis: Nonparametric Comparisons and Regressions

Lecture 17 - The Linear Model

Lecture 18 - The Multivariable Model

Lecture 19 - Practical Issues in Running Regressions

Lecture 20 - Omitted Variable bias

Lecture 21 - Endogeneity and Instrument Variables

Lecture 22 - Experimental Design

Lecture 23 - Visualizing Data

References

14.310x Data Analysis for Social Scientists
Lecture Notes. Problem Sets. Instructors: Prof. Esther Duflo and Dr. Sara Ellison. This course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest.