Noah Greifer

Biographic Data

ID4268967
NAMENoah Greifer
GIVEN NAMESNoah
FAMILY NAMEGreifer
SIGNATUREGREIFER N
AFFILIATIONSHarvard Institute for Quantitative Social Science, Cambridge, MA
ORCID0000-0003-3067-7154
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS3
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX1

  • The Effects of a Place-Based Intervention on Resident Reporting of Crime and Service Needs

    Open AccessEleanor Dickens, Noah Greifer et al.ARTICLEJustice Quarterly2026

    Prior research has found that reporting of crime incidents and service needs remain low in many U.S. cities. This study employs a matching strategy using observational data from a large public repository to generate effect estimates of a place-based intervention in Buffalo, NY on crime incidents and calls for service. Matching is conducted using matching frontier with an energy-distance balance metric, which allows for fine managing of the balanc…

  • How to Interpret Statistical Models Using marginaleffects for R and Python

    Open AccessVincent Arel-Bundock, Noah Greifer et al.ARTICLEJournal of Statistical Software2024

    The parameters of a statistical model can sometimes be difficult to interpret substantively, especially when that model includes nonlinear components, interactions, or transformations. Analysts who fit such complex models often seek to transform raw parameter estimates into quantities that are easier for domain experts and stakeholders to understand. This article presents a simple conceptual framework to describe a vast array of such quantities o…

  • The role of comparative processes in shaping the effects of between-class ability grouping on students’ math ability self-concept

    Open AccessSirui Wan, Fani Lauermann et al.ARTICLEJournal of Educational Psychology2024

  • When does criminal victimization undermine generalized trust? A weighted panel analysis of the effects of crime type, frequency, and variety

    Open AccessFlorian Kaiser, Dietrich Oberwittler et al.ARTICLESocial Science Research2024References: 121

    Scholars from various fields have suggested that criminal victimization can shatter generalized trust. Whereas small average effects in longitudinal studies provide only weak support for this claim, victimization effects may be stronger for specific crime types and multiple victimization. To test this assumption, we estimated various victimization effects by combining Energy weighting with lagged dependent variable models, using data from two-wav…

  • A Tutorial for Propensity Score Weighting for Moderation Analysis With Categorical Variables

    Beth Ann Griffin, Megan S Schuler et al.ARTICLEMedical Care2023References: 58

    OBJECTIVE: To provide step-by-step guidance and STATA and R code for using propensity score (PS) weighting to estimate moderation effects with categorical variables. RESEARCH DESIGN: Tutorial illustrating the key steps for estimating and testing moderation using observational data. Steps include: (1) examining covariate overlap across treatment groups within levels of the moderator; (2) estimating the PS weights; (3) evaluating whether PS weights…

  • Improving Causal Inference

    Open AccessKirsten Kainz, Noah Greifer et al.ARTICLEJournal of the Society for Social…2017Cited by: 3References: 5

    Objective: This paper is a resource for applied researchers and journal reviewers who wish to learn more about propensity score methods, especially recent published recommendations for selecting and balancing covariates before conducting treatment effect analysis. Method: We reviewed and synthesized methodological studies of propensity score analysis from multiple disciplines in an effort to distill a cogent and defensible set of recommendations …