What is different about private equity‐backed acquirers?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper investigates whether private equity (PE)‐backed acquirers have a “parenting advantage” in the mergers & acquisitions (M&A) market. We employ a sample of 788 PE‐backed firms and a carefully matched control group of 6,652 non‐PE‐backed peers, for which we observe the entire acquisition history over a 19‐year time span. Difference‐in‐differences estimates suggest that PE backing induces a sizeable but short‐lived boost to acquisition activity, while the type and complexity of acquisitions are similar to those of non‐PE‐backed peers. These results are consistent with the idea that PE backing enhances execution and speed in the M&A market. We find that portfolio firms benefit from this boost through improved valuations and margins. The extent to which this is true, however, depends on the institutional setting of the PE owner. Our results indicate that add‐on acquisitions are detrimental if PE owners are late buyers or suffer from limited attention problems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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