Sign in to confirm you’re not a bot
This helps protect our community. Learn more

Machine Learning and Economics: An Introduction

Stanford Graduate School of Business
2.51M subscribers
<__slot-el>
<__slot-el>
▶

Machine Learning and Economics: An Introduction

Stanford Graduate School of Business
2

Applied Machine Learning: Introduction

Stanford Graduate School of Business
3

Applied Machine Learning: Secret Sauce

Stanford Graduate School of Business
4

Applied Machine Learning: Prediction vs. Estimation

Stanford Graduate School of Business
5

Average Treatment Effects: Introduction

Stanford Graduate School of Business
6

Average Treatment Effects: Confounding

Stanford Graduate School of Business
7

Average Treatment Effects: Propensity Scores

Stanford Graduate School of Business
8

Average Treatment Effects: Double Robustness

Stanford Graduate School of Business
9

Conditional Average Treatment Effects: Overview

Stanford Graduate School of Business
10

Conditional Average Treatment Effects: Trees

Stanford Graduate School of Business
11

Conditional Average Treatment Effects: Forests

Stanford Graduate School of Business
12

Robust Estimation of Treatment Heterogeneity

Stanford Graduate School of Business
13

HTE: Sources of Bias

Stanford Graduate School of Business
14

HTE: Confounding-Robust Estimation

Stanford Graduate School of Business
15

HTE: Confounding-Robust Forests

Stanford Graduate School of Business
16

Loss Functions for Causal Inference

Stanford Graduate School of Business
17

Loss Functions: Treatment Heterogeneity

Stanford Graduate School of Business
18

Loss Functions: Validating CATE Estimates

Stanford Graduate School of Business
19

Loss Functions: Policy Learning

Stanford Graduate School of Business