Related Experiment Video
Updated: May 19, 2026

Differentiation of a Human Neural Stem Cell Line on Three Dimensional Cultures, Analysis of MicroRNA and Putative Target Genes
Published on: April 12, 2015
A Note on "Sequential Neighborhood Effects" by Hicks et al. (2018)
Mark S Handcock1, Andrew L Hicks2, Narayan Sastry3
1California Center for Population Research and Department of Statistics, University of California, Los Angeles, Los Angeles, CA, USA.
This study revisits a causal model examining neighborhood disadvantage and children's skills. A new residuals-based adjustment corrects for bias, confirming original findings on child development outcomes.
Area of Science:
- Causal inference
- Developmental psychology
- Sociology
Background:
- A previous causal model assessed neighborhood disadvantage effects on children's skills.
- Concerns arose regarding bias from exposure-induced confounding and true state dependence.
Purpose of the Study:
- To provide corrected and new results for a novel causal model.
- To address potential biases in assessing long-term effects of neighborhood disadvantage on child development.
- To propose and validate a residuals-based adjustment method.
Main Methods:
- Causal modeling using propensity functions.
- Simulation studies to assess bias from confounding and state dependence.
- Application of a new residuals-based adjustment procedure.
Main Results:
- The original propensity function approach showed modest bias due to exposure-induced confounding.
- The proposed residuals-based adjustment effectively corrected for the observed bias.
- Reproducing original models with the corrected method yielded identical findings.
Conclusions:
- The residuals-based adjustment method is a valid approach for causal modeling in this context.
- The findings regarding neighborhood disadvantage and children's skills are robust.
- Methodological considerations for causal modeling in developmental research are highlighted.
Related Concept Videos
Position-effect Variegation
Inductive Effects on Chemical Shift: Overview
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Longitudinal Studies
Impact of Social Context on Individuals
Causes of Similarity-Dissimilarity Effect

