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Determining relative importance in Stata using dominance analysis: domin and domme

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  • Joseph N. Luchman

    (Fors Marsh Group LLC)

Abstract

Dominance analysis is a common method applied to statistical models to determine the importance of independent variables. In this article, I describe two community-contributed commands, domin and domme, that can be used to dominance-analyze both independent variables and parameter estimates in Stata estimation commands. I discuss how to compute dominance statistics, provide multiple examples of each command applied to data, and outline how to inter- pret the results from each data-analytic example. I conclude with computational considerations for users applying larger models.

Suggested Citation

  • Joseph N. Luchman, 2021. "Determining relative importance in Stata using dominance analysis: domin and domme," Stata Journal, StataCorp LP, vol. 21(2), pages 510-538, June.
    • Handle: RePEc:tsj:stataj:v:21:y:2021:i:2:p:510-538
    DOI: 10.1177/1536867X211025837
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj21-2/st0645/
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    Cited by:

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    4. Rémy Le Boennec & Frédéric Salladarré, 2023. "Investigating the use of privately-owned micromobility modes for commuting in four European countries," Post-Print hal-04296400, HAL.
    5. Mertzanis, Charilaos, 2024. "Central bank policies and green bond issuance on a global scale," Energy Economics, Elsevier, vol. 133(C).
    6. Silva, José Maria Cardoso & Araujo, Leonardo Schultz & Torres, Roger Rodrigues & Barbosa, Luis Claudio Fernandes, 2024. "The sustainability of development pathways and climate change vulnerability in the Americas," Ecological Economics, Elsevier, vol. 220(C).
    7. Adhikari, Tamanna & Yao, Fang, 2023. "Household resilience to expenditure and debt service channels under current inflationary conditions," Financial Stability Notes 3/FS/23, Central Bank of Ireland.
    8. Ying Zhang & Cornelia Lawson & Liangping Ding, 2023. "Can scientists remain internationally visible after the return to their home country? A study of Chinese scientists," MIOIR Working Paper Series 2023-01, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.
    9. AlSuwaidi, Reem Ahmed & Mertzanis, Charilaos, 2024. "Financial literacy and FinTech market growth around the world," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    10. Zhen, Zhiyong & Cao, Ruoshan & Gan, Xiaohang & Wang, Chen, 2024. "The impact of digital finance on urban entrepreneurial activity: The moderating effect of advanced human capital structure," Finance Research Letters, Elsevier, vol. 64(C).
    11. Mertzanis, Charilaos, 2023. "Energy policy diversity and green bond issuance around the world," Energy Economics, Elsevier, vol. 128(C).
    12. Schneck, Andreas & Przepiorka, Wojtek, 2023. "Meta-dominance analysis - A tool for the assessment of the quality of digital behavioural data," SocArXiv cy3wj, Center for Open Science.
    13. Steven R. H. Beach & Eric T. Klopack & Sierra E. Carter & Robert A. Philibert & Ronald L. Simons & Frederick X. Gibbons & Mei Ling Ong & Meg Gerrard & Man-Kit Lei, 2022. "Do Loneliness and Per Capita Income Combine to Increase the Pace of Biological Aging for Black Adults across Late Middle Age?," IJERPH, MDPI, vol. 19(20), pages 1-16, October.
    14. Jolene Tan, 2023. "Perceptions towards pronatalist policies in Singapore," Journal of Population Research, Springer, vol. 40(3), pages 1-27, September.
    15. Nunzio Lor`e & Babak Heydari, 2023. "Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing," Papers 2309.05898, arXiv.org.

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