Titlebook: Handbook of Causal Analysis for Social Research; Stephen L. Morgan Book 2013 Springer Science+Business Media Dordrecht 2013 Causal Analysi

ALIBI

Causal Effect Heterogeneityatment, event, or intervention. A principal interaction of interest for questions of selection into treatment and causal inference in the social sciences is between the treatment and the propensity of treatment. Although the importance of “treatment-effect heterogeneity,” so defined, has been widely

Encoding

New Perspectives on Causal Mediation Analysissystems of equations into “direct effects” and “indirect effects” through mediating variables. These decompositions have been used to address substantive questions of fundamental interest, for example, how a person’s social background affects his/her earnings through education. However, in general,

Commentary

Graphical Causal Modelsses, discusses central principles, and gives applied examples. DAGs are visual representations of qualitative causal assumptions: They encode researchers’ beliefs about how the world works. Straightforward rules map these causal assumptions onto the associations and independencies in observable data

小丑

補(bǔ)角

同步左右

acolyte

WAIL

HARP

irreparable