Survey.jl - An Efficient Framework for Analysing Complex Surveys

Ayush Patnaik (), Nadia Enhaili (), Siddhant Chaudhary (), Shikhar Mishra () and Iulia Dumitru ()
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Ayush Patnaik: xKDR Forum
Nadia Enhaili: Simon Fraser University
Siddhant Chaudhary: Chennai Mathematical Institute
Shikhar Mishra: xKDR Forum
Iulia Dumitru: Politehnica University of Bucharest

No 33, Working Papers from xKDR

Abstract: Estimating variances in survey data analysis is challenging due to the complex nature of survey designs. It is typically done through resampling methods like bootstrapping, which can be computationally intensive. The Survey.jl package leverages Julia to provide an efficient framework for these resampling techniques, facilitating faster survey data analysis.

JEL-codes: Y9 (search for similar items in EconPapers)
Pages: 4 pages
Date: 2025-11
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