treatment prioritization rules: An application to the benefits of college in reducing poverty

Xi, Jiahui, Jennie E, Brand, Tanvi Shinkre, and Nanum Jeon are working on a project titled “Determining Treatment Prioritization Rules: An Application to the Benefits of College in Reducing Poverty.”

Trajectories of mobility in the U.s.

Rouhani, Shiva, Xi Song, and Jennie E. Brand are working on a project titled “Trajectories of Mobility in the U.S.”

RECENT DEVELOPMENTS IN CAUSAL INFERENCE AND MACHINE LEARNING

Brand, Zhou, and Yu Xie (Princeton University) are working on a review of recent developments in causal inference for Annual Review of Sociology.

Lundberg, Brand, and Jeon published a review paper on the recent developments in machine learning for Social Science Research.

HETEROGENEOUS TREATMENT EFFECTS

Uncovering Effect Heterogeneity with Causal Trees

Brand, Geraldo, and Jiahui Xu (Pennsylvania State) and Bernard Koch (UCLA) use tree-based machine learning, i.e. causal trees, to recursively partition a sample to uncover sources of effect heterogeneity.

COLLEGE EFFECT HETEROGENEITY

In her book project, Brand contends that individuals with different backgrounds differ in their benefits of college, yet Brand argues that those who are less likely to attend college have considerable gains, especially in circumventing lives marked by disadvantage.

COLLEGE direct and indirect EFFECT HETEROGENEITY

Ahearn, Brand, and Zhou employ a nonparametric causal mediation analysis to examine the total, direct, and indirect effects of college attendance on voting and how these effects differ across individuals with different propensities of attending college.

DETERMINANTS OF DOWNWARD MOBILITY

Rouhani, Brand, and Xi Song (University of Pennsylvania) offer an analysis of several potential factors influencing declining absolute intergenerational income mobility.

Disruptive Event EFFECT Heterogeneity

Aquino, Brand, and Florencia Torche (Stanford University) review recent findings of heterogeneity in the impact of disruptive events.

INCOME VOLATILITY

Lundberg, Brand, and Aquino are working on effective data visualization tools for income volatility.