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A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health

Simon Calmar Andersen, Louise Beuchert, Phillip Heiler, Helena Skyt Nielsen

arXiv 9 Aug 2023 · Econometrics

arXiv:2308.04963 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper is concerned with identification, estimation, and specification testing in causal evaluation problems when data is selective and/or missing. We leverage recent advances in the literature on graphical methods to provide a unifying framework for guiding empirical practice. The approach integrates and connects to prominent identification and testing strategies in the literature on missing data, causal machine learning, panel data analysis, and more. We demonstrate its utility in the context of identification and specification testing in sample selection models and field experiments with attrition. We provide a novel analysis of a large-scale cluster-randomized controlled teacher's aide trial in Danish schools at grade 6. Even with detailed administrative data, the handling of missing data crucially affects broader conclusions about effects on mental health. Results suggest that teaching assistants provide an effective way of improving internalizing behavior for large parts of the student population.

Citation extraction

82
references
170
in-text mentions
82
distinct cited
3
self-citations
17,539
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1ghanem2022testing APACrefauthors Ghanem, D. , Hirshleifer, S. \ Orti… (2022) 20221.000153100%
2heiler2022hetbounds APACrefauthors Heiler, P. APACrefauthors \ (2022) 2022 21.00095100%
3heckman2022econometric APACrefauthors Heckman, J J. \ Pinto, R. APAC… (2022) 20221.00083100%
4lee2009training APACrefauthors Lee, D S. APACrefauthors \ (2009) 20091.00064100%
5chernozhukov2018double APACrefauthors Chernozhukov, V. , Chetverikov… (2018) 2018011.00053100%
6zhang2003estimation APACrefauthors Zhang, J L. \ Rubin, D B. APACref… (2003) death1.00053100%
7semenova2020better APACrefauthors Semenova, V. APACrefauthors \ (2008) 20200.92843100%
8andersen2020effect APACrefauthors Andersen, S C. , Beuchert, L. , Ni… (2020) 2020 self0.874132100%
9richardson2013single APACrefauthors Richardson, T S. \ Robins, J M.… (2013) 20130.81142100%
10rubin1976inference APACrefauthors Rubin, D B. APACrefauthors \ (1976) 19760.81142100%

Showing the top 10 of 82 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Treatment Evaluation at the Intensive and Extensive Margins0.64422
2Causal Graphs for Conditional Parallel Trends0.40511
3Sharp Bounds and Inference in Sample Selection Models with Treatment Endogeneity0.40511