단행본Analytical methods for social research
Counterfactuals and causal inference: methods and principles for social research
- 청구기호
- 300.72 COU2014
- 판사항
- 2nd
- 발행사항
- New York : Cambridge University Press, 2014
- 형태사항
- 524 p
- ISBN
- 9781107065079
- 분류기호
- 듀이십진분류법->300.72
소장정보
위치 | 등록번호 | 청구기호 / 출력 | 상태 | 반납예정일 |
---|---|---|---|---|
이용 가능 (1) | ||||
한국노동연구원 | 00008166 | 대출가능 | - |
이용 가능 (1)
- 등록번호
- 00008166
- 상태/반납예정일
- 대출가능
- -
- 위치/청구기호(출력)
- 한국노동연구원
목차
Part I. Causality and Empirical Research in the Social Sciences:
1. Introduction
Part II. Counterfactuals, Potential Outcomes, and Causal Graphs:
2. Counterfactuals and the potential-outcome model
3. Causal graphs
Part III. Estimating Causal Effects by Conditioning on Observed Variables to Block Backdoor Paths:
4. Models of causal exposure and identification criteria for conditioning estimators
5. Matching estimators of causal effects
6. Regression estimators of causal effects
7. Weighted regression estimators of causal effects
Part IV. Estimating Causal Effects When Backdoor Conditioning is Ineffective:
8. Self-selection, heterogeneity, and causal graphs
9. Instrumental-variable estimators of causal effects
10. Mechanisms and causal explanation
11. Repeated observations and the estimation of causal effects
Part V. Estimation When Causal Effects Are Not Point Identified by Observables:
12. Distributional assumptions, set identification, and sensitivity analysis
Part VI. Conclusions:
13. Counterfactuals and the future of empirical research in observational social science.