2.6 Two assumptions of IV在线视频

教育定量研究方法（高级）课程列表：

Weeks 1 & 2 Basic Econometrics

-1.1 Regression Outlline

-1.2 Why do we use regression 1

-1.3 Why do we use regression 2

-1.4 Conditional expectation function 1

-1.5 Conditional expectation function 2

-1.6 Classical assumption of OLS

-1.7 Idea of OLS

-1.8 How to use matrix calculation to solve OLS

-1.9 Goodness of fit

-1.10 F test &T test

-1.11 FAQs of regression：practice

-1.12 FAQs of regression：discussion

-1.13 Maximum Likelihood Estimatio

-Basic Econometrics

Weeks 3 & 4: Instrumental Variable

-2.1 Classical assumptions of OLS

-2.2 Omitted variable bias and endogeneity

-2.3 Self-selection bias

-2.4 Idea of IV 1

-2.5 Idea of IV 2

-2.6 Two assumptions of IV

-2.7 Method-of-moments IVE

-2.8 Example of IV estimation

-2.9 2SLS and SEM

-2.10 Residual of 2SLS

-2.11 Standard error of IVE

-2.12 ATE and LATE

-2.13 Extension 1

-2.14 Extension 2

-2.15 Q&A 1

-2.16 Q&A 2

-2.17 Q&A 3

-2.18 Q&A 4

-2.19 IV workshop 1

-2.20 IV workshop 2

-2.21 IV workshop 3

-Weeks 3&4 readings and workshop

-Instrumental Variable

-IV 讨论题目

Weeks 5 & 6: Randomized Experiments - Class Size, Career Academies

-3.1 Introduction

-3.2 Idea of RCT 1

-3.3 Idea of RCT 2

-3.4 Conducting RCT

-3.5 Estimation

-3.6 Threats to the validity of RCT

-3.7 IVE for corss-overs 1

-3.8 IVE for corss-overs 2

-3.9 Clustered group 1

-3.10 Clustered group 2

-3.11 Clustered group 3

-3.12 Q&A 1

-3.13 Q&A 2

-3.14 Q&A 3

-3.15 Q&A 4

-3.16 Fixed-effect model

-3.17 Random-effecrt and Fiexed-effect model

-3.18 Statistic power analysis

-3.19 RCT workshop 1

-3.20 RCT workshop 2

-3.21 RCT workshop 3

-3.22 RCT workshop 4

-Weeks 5&6 readings and workshop

-Randomized Experiments - Class Size, Career Academies

-RCT 讨论题目

Weeks 7 & 8: Natural experiment and DID

-4.1 Introduction

-4.2 DID estimation 1

-4.3 DID estimation 2

-4.5 Assumptions of DID 2

-4.6 DID with multiple periods 1

-4.4 Assumptions of DID 1

-4.7 DID with multiple periods 2

-4.8 DDD

-4.9 Synthetic control methods

-4.10 Q&A 1

-4.11 Q&A 2

-4.12 Q&A 3

-4.13 Q&A 4

-4.14 Q&A 5

-4.15 DID workshop 1

-4.16 DID workshop 2

-4,17 DID workshop 3

-4.18 RD workshop 3

-Week7&8 readings and workshop

-Natural experiment and DID

-DID 讨论题目

Weeks 9 & 10: Regression discontinuity

-5.1 Introduction 1

-5.2 Introduction 2

-5.3 Model Setup

-5.4 RD Estimation 1

-5.5 RD Estimation 2

-5.6 RD Estimation 3

-5.7 Fuzzy RD 1

-5.8 Fuzzy RD 2

-5.9 Fuzzy RD 3

-5.10 Validity and assumption test 1

-5.11 Validity and assumption test 2

-5.12 RD workshop 1

-5.13 RD workshop 2

-5.14 RD workshop 3

-Regression discontinuity

-RD 讨论题目

Weeks 11&12: Propensity Score Matching

-6.1 Review of causal inference model

-6.2 Selection bias

-6.3 Standard OLS

-6.4 Stratification

-6.5 Confrol for covariates

-6.6 PSM 1

-6.7 PSM 2

-6.8 PSM 3

-6.9 Bad control 1

-6.10 Bad control 2

-6.11Q&A 1

-6.12 Q&A 2

-6.13 Q&A 3

-6.14 Q&A 4

-6.15 Q&A 5

-6.16 Q&A 5

-6.17 PSM workshop 1

-6.18 PSM workshop 2

-6.19 PSM workshop 3

-6.20 PSM workshop 4

-6.21 PSM workshop 5

-6.22 PSM workshop 6

-6.23 PSM workshop 7

-6.24 PSM workshop Q&A 1

-6.25 PSM workshop Q&A 2

-Propensity Score Matching

-PSM 讨论题目

Weeks 13&14: HLM

-7.1 Introduction

-7.2 Model setup 1

-7.3 Model setup 2

-7.4 Estimation 1

-7.5 Estimation 2

-7.6 Three level HLM

-7.7 Centering 1

-7.8 Centering 2

-7.9 Growth model 1

-7.10 Growth model 2

-7.11 Meta-analysis 1

-7.12 Meta-analysis 2

-7.13 Q&A 1

-7.14 Q&A 2

-7.15 Q&A 3

-7.16 Q&A 4

-7.17 Q&A 5

-7.18 Q&A 6

-7.19 HLM workshop 1

-7.20 HLM workshop 2

-7.21 HLM workshop 3

-7.22 HLM workshop 4

-7.23 HLM workshop 5

-HLM 讨论题目

-HLM

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