S4E03 Two-Stage Least Squares Strikes Back

1

Introduction

00:00 • 3min

2

How to Surprise Someone With Something You Don't Want to Share

02:35 • 2min

3

What Is a 'Spinning Hook Kick'?

04:54 • 5min

4

Maximize the Probability of the Data You Have in Your Hand

09:29 • 3min

5

Maximum Probability Is a Full Information Estimator

12:07 • 4min

6

The History of Two Stage Least Squares

15:38 • 2min

7

The Endogeneity Problem

18:01 • 2min

8

Depression Predicts Alcohol Use

20:01 • 2min

9

Bringing Indirectly Back Guinea Pigs

22:11 • 3min

10

Is There a Biased Regression Coefficient?

25:03 • 4min

11

Regression, Measurement Error, and Latent Variables

28:39 • 4min

12

Two Stage Lee Squares Estimator for Latent Variable Equations

32:13 • 6min

13

MIV Two SLS SEM - The Cornerstone to MIVs EO

38:04 • 2min

14

The Six Steps of Any SEM

39:39 • 4min

15

Maximum Probability Is the Game in Town When You Have a Misspecified Model

43:44 • 2min

16

MIV Two-Stagely Squares With MIVs

45:42 • 2min

17

Two Stage Less Squares Can Quarantine Miss Specification

47:40 • 2min

18

Maximum Probability Is a Limited Information Method of Estimation

49:49 • 4min

19

MIV-TU-SUM-SEM - Is There a Difference?

53:57 • 3min