The impact of COVID-19 pandemic on earnings management and the value relevance of earnings: US evidence
Why this work is in the frame
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Bibliographic record
Abstract
Purpose The purpose of this study is to examine whether the COVID-19 pandemic has affected earnings management and the value relevance of earnings in the USA. Design/methodology/approach Discretionary accruals, the explanatory power and slope coefficient of earnings are compared between 2019 (prepandemic year) and 2020 (pandemic year). Univariate and regression analyses are performed. Findings There was a significant decline in discretionary accruals from 2019 to 2020, suggesting that firms engaged in more income-decreasing earnings management to take a big bath in reporting earnings in the pandemic year. Meanwhile, the explanatory power and slope coefficient of earnings both were lower in 2020 than in 2019, consistent with the notion that the pandemic has impaired the value relevance of earnings. Originality/value This study explores the consequences of the pandemic from accounting perspective. It also enriches accounting research on economic crises.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it