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Global Accounting Convergence and the Potential Adoption of IFRS by the U.S. (Part I): Conceptual Underpinnings and Economic Analysis
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SYNOPSIS: This article is Part I of a two-part series analyzing the economic and policy factors related to the potential adoption of IFRS by the United States. In this part, we develop the conceptual framework for our analysis of potential costs and benefits from IFRS adoption in the United States. Drawing on the academic literature in accounting, finance, and economics, we assess the potential impact of IFRS adoption on the quality and comparability of U.S. reporting practices, the ensuing capital market effects, and the potential costs of switching from U.S. GAAP to IFRS. We also discuss the compatibility of IFRS with the current U.S. regulatory and legal environment, as well as the possible macroeconomic effects of IFRS adoption. Our analysis shows that the decision to adopt IFRS mainly involves a cost-benefit trade-off between (1) recurring, albeit modest, comparability benefits for investors; (2) recurring future cost savings that will largely accrue to multinational companies; and (3) one-time transition costs borne by all firms and the U.S. economy as a whole, including those from adjustments to U.S. institutions. In Part II of the series (see Hail et al. 2010), we provide an analysis of the policy factors related to the decision and present several scenarios for the future evolution of U.S. accounting standards in light of the current global movement toward IFRS.
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Metadata
- Authors
- Hail, L., Leuz, C., & Wysocki, P.
- Venue
- Accounting Horizons
- Publisher
- American Accounting Association
- Published
- 2010-09-01
- Volume
- 24
- Issue
- 3
- Pages
- 355-394
- ISSN
- 0888-7993 (ISSN-L)
- 1558-7975
- OpenAlex
- W2140096960
- Cited by
- 452
- References
- 12
- FWCI
- 110.30
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global Accounting Convergence and the Potential Adoption of IFRS by the U.S. (Part I): Conceptual Underpinnings and Economic Analysis. https://app.cochat.ai/papers/10.2308/acch.2010.24.3.355
- The paper
- Hail, L., Leuz, C., & Wysocki, P. (2010). Global Accounting Convergence and the Potential Adoption of IFRS by the U.S. (Part I): Conceptual Underpinnings and Economic Analysis. Accounting Horizons. https://doi.org/10.2308/acch.2010.24.3.355
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.