fevc: Leave-Out Bias-Corrected Variance Decompositions in Stata -- by Johannes F. Schmieder

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2026, 18th Annual Feldstein Lecture, Mark Duggan, "Social Security Reform in an Era of Fiscal Deficits" Primary tabs
  • Acknowledgements and Disclosures

    I thank Raffaele Saggio for helpful comments. I used OpenAI’s ChatGPT and Codex to assist with software development, testing, and the preparation and revision of this manuscript. I take full responsibility for the code, analysis, and text, including any remaining errors. The views expressed herein are those of the author and do not necessarily reflect the views of the National Bureau of Economic Research.


  • Citation and Citation DataCopy Citation Johannes F. Schmieder, "fevc: Leave-Out Bias-Corrected Variance Decompositions in Stata," NBER Working Paper 35948 (2026), https://doi.org/10.3386/w35948. Copy to Clipboard Download Citation
  • Associated Links
SI 2026 Methods Lecture
Using AI in Household Finance Research: A Practical Guide

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本文由NBER于2026年10月22日首次发布。HUE Legacy Ventures 并非本文作者。

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