[Econometrics] 4. Censoring and Selection
#Censoring #Tobit #Selection #Heckman’s_model
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] 3. Multiple Choice
#Multinomial_logit #Conditional_logit #IIA #Nested_logit #Mixed_logit #Probit #Ordered_Response
[Econometrics] 2. Binary Choice
#Probit #Logit
[Python] Jupyter Notebook에서 Stata 사용하기
Reference: StataCorp LLC Jupyter Notebook with Stata
[Econometrics] 1-2. Fixed Effect
#Within #Differenced #Between #Dummy_Variable_Regression #Hausman_test