Estimating the Value of Evidence-Based Decision Making

Autor:	Abadie, Alberto, Agarwal, Anish, Imbens, Guido, Jia, Siwei, McQueen, James, Stepaniants, Serguei
Rok vydání:	2023
Předmět:	Statistics - Methodology Computer Science - Machine Learning Economics - Econometrics Statistics - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2306.13681 Zobrazit plný text záznamu View this record from Arxiv