Do Innovative Firms Communicate More? Evidence from the Relation between Patenting and Management Guidance
Bibliographic record
Abstract
ABSTRACT Successful innovations could induce more disclosure if the information asymmetry between the firm and its investors about post-innovation outcomes leads investors to demand more information. However, such innovations also likely entail greater proprietary cost concerns, which deter disclosure. This paper uses patent grants to examine the effect of innovation success on management guidance behavior. We find that more management guidance follows patent grants, suggesting that despite disclosure cost concerns, firms with successful innovations do respond to information demand. This association is stronger after enactment of Regulation Fair Disclosure and for firms with greater institutional investor ownership, further highlighting the role of information demand. The association is weaker for firms with more competition, consistent with proprietary cost concerns having a moderating impact. Overall, our findings suggest that innovation creates demand for more voluntary disclosure, and firms' disclosure decisions following innovation outcomes vary in ways that disclosure theory and economic intuition predict. JEL Classifications: G30; G32; G38; M41; M48. Data Availability: All data are available from the public sources identified in the paper.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".