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Estimating the Value of Evidence-Based Decision Making

Alberto Abadie, Anish Agarwal, Guido Imbens, Siwei Jia, James McQueen, Serguei Stepaniants

arXiv 21 Jun 2023 · Statistics — Methodology · 2 citations (OpenAlex)

arXiv:2306.13681 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Business/policy decisions are often based on evidence from randomized experiments and observational studies. In this article we propose an empirical framework to estimate the value of evidence-based decision making (EBDM) and the return on the investment in statistical precision.

Citation extraction

25
references
30
in-text mentions
25
distinct cited
1
self-citations
7,748
main-text words

appendix boundary found by appendix_command · 88% of the source is main text. Read the extracted text to check this.

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
1Jiafeng Chen (2024) Empirical Bayes When Estimation Precision Predicts Parameters0.51121100%
2Roger Koenker and Ivan Mizera (2014) Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules0.51121100%
3Koenker, Roger and Gu, Jiaying (2017) REBayes: an R package for empirical Bayes mixture methods0.51121100%
4Morris, Carl N (1983) Parametric empirical Bayes inference: Theory and applications0.51121100%
5Vira Semenova (2023) Generalized Lee Bounds0.51121100%
6Chetty, Raj and Hendren, Nathaniel (2018) THE IMPACTS OF NEIGHBORHOODS ON INTERGENERATIONAL MOBILITY II: COUNTY-LEVEL ESTIMATES0.40511100%
7Efron, Bradley (2010) Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction0.40511100%
8Christopher Walters (2024) Empirical Bayes methods in labor economics0.40511100%
9Abadie, Alberto and Kasy, Maximilian (2019) Choosing among Regularized Estimators in Empirical Economics: The Risk of Machine Learning self0.40511100%
10Andrews, Isaiah and Kitagawa, Toru and McCloskey, Adam (2023) Inference on Winners0.40511100%

Showing the top 10 of 25 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
1Optimizing Returns from Experimentation Programs0.87452
2Empirical Bayes When Estimation Precision Predicts Parameters0.40511
3Tweedie Calculus0.40511