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Econometrics
Great thanks to Professor Yoon at KAIST
| Chapter | Keywords |
|---|---|
| 1-1. Panel Data & Error Component Model |
#Pooled_Regression #Error_Component_Model |
| 1-2. Fixed Effect | #Within #Differenced #Between #Dummy_Variable_Regression #Hausman_test |
| 2. Binary Choice | #Probit #Logit |
| 3. Multiple Choice | #Multinomial_logit #Conditional_logit #IIA #Nested_logit #Mixed_logit #Probit #Ordered_Response |
| 4. Censoring and Selection | #Censoring #Tobit #Selection #Heckman's_model |
| 5-1. Treatment Effects and Regression | #Rubin's_causal_model #ATE #ATT #Missing_Data_Problem #Selection_bias #Endogeneity #Randomized_experiment #Unconfoundness |
| 5-2. Conditional Expectation Function | #regression_anatomy #CIA #OVB |
| 6. Matching | #strong_ignorability #regression_adjustment #IPW #counterfactual #nnmatch #PSM |
| 7-1. Instrumental Variables - Constant Effect |
#IV #2SLS #ILS #Wald_estimator #weak_instrument |
| 7-2. Instrumental Variables - Hetergenous Effect |
#external_validity #LATE #Exclusion_restriction #Monotonicity #complier #defier |
| 8. Differences-in-Differences | #Common_trend_assumption #Compound_effect #Ashenfelter's_dip #DDD |
| 9. Regression Discontinuity | #Sharp_RD #Fuzzy_RD #Validity_issue |
최근 포스트
[Econometrics] 1-1. Panel Data & Error Component Model
#Pooled_Regression #Error_Component_Model
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[Python] CPPI 실습 on Python
CPPI 실습 on Python
[Python] 이메일 송신
Reference: 열코님의 파이썬으로 이메일 보내기(SMTP)