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Does Norm Selection Matter in Iterative SUR Estimation?

Ioana VINAȘI

Economic Computation and Economic Cybernetics Studies and Research2026https://doi.org/10.24818/18423264/60.1.26.11article
ABDC C
Weight
0.50

What the paper says

This study explores how two alternative norms perform within the Iterative Seemingly Unrelated Regression (ISUR) framework, focusing on their efficiency and accuracy across diverse scenarios -such as varying time spans and country samples.By putting these norms to the test, the research offers hands-on guidance for researchers and practitioners seeking the most effective balance between computational speed and statistical precision.The Euclidean findings reveal which norm delivers the best trade-off, serving as a practical roadmap for optimising ISUR models in real-world applications.Ultimately, this comparison not only sharpens methodological decision-making but also enhances the reliability and efficiency of empirical workflows in econometric analysis.

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https://doi.org/https://doi.org/10.24818/18423264/60.1.26.11

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@article{ioana2026,
  title        = {{Does Norm Selection Matter in Iterative SUR Estimation?}},
  author       = {Ioana VINAȘI},
  journal      = {Economic Computation and Economic Cybernetics Studies and Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.24818/18423264/60.1.26.11},
}

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Does Norm Selection Matter in Iterative SUR Estimation?

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.