Misspecified Model Estimation and Its Impact on Predictions

[2309.08740] Misspecified Model Estimation and Its Impact on Predictions Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Economics > Theoretical Economics arXiv:2309.08740 (econ) [Submitted on 15 Sep 2023 ( v1 ), last revised 13 Apr 2026 (this version, v4)] Title: Misspecified Model Estimation and Its Impact on Predictions Authors: Junnan He , Lin Hu , Matthew Kovach , Anqi Li View a PDF of the paper titled Misspecified Model Estimation and Its Impact on Predictions, by Junnan He and 3 other authors View PDF HTML (experimental) Abstract: We study a linear statistical model where outcomes depend on regressors with fixed population coefficients and observation-specific latent coefficients, along with measurement errors. A decision-maker estimates population coefficients and uses the estimates to predict the latent coefficients for a given observation. We analyze how misspecification of some population coefficients distorts predictions, investigating comparative statics with respect to: (1) residual information in regressors associated with misspecified coefficients after projecting out those associated with free coefficients, (2) alignment between misspecification vector and latent-to-coefficient mapping. Applications include employee rating with unconscious bias and LLM-mediated consumer research. Subjects: Theoretical Economics (econ.TH) Cite as: arXiv:2309.08740 [econ.TH] (or arXiv:2309.08740v4 [econ.TH] for this version) https://doi.org/10.48550/arXiv.2309.08740 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Anqi Li [ view email ] [v1] Fri, 15 Sep 2023 20:02:21 UTC (29 KB) [v2] Mon, 18 Mar 2024 21:52:20 UTC (40 KB) [v3] Tue, 17 Sep 2024 12:25:01 UTC (43 KB) [v4] Mon, 13 Apr 2026 21:04:19 UTC (47 KB) Full-text links: Access Paper: View a PDF of the paper titled Misspecified Model Estimation and Its Impact on Predictions, by Junnan He and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: econ.TH < prev | next > new | recent | 2023-09 Change to browse by: econ References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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