Local Overweighting and Underperformance: Evidence from Limited Partner Private Equity Investments
Bibliographic record
Abstract
Institutional investors exhibit substantial home-state bias in private equity. This effect is particularly pronounced for public pension funds, where overweighting amounts to 9.8% of aggregate private-equity investments and 16.5% for the average limited partner. Public pension funds' in-state investments achieve performance that is lower by two to four percentage points than both their own similar out-of-state investments and similar investments in their state by out-of-state investors. Overweighting in home-state investments by public pension funds is greater in venture capital and real estate than in buyout funds. States with political climates characterized by more self-dealing invest a larger share of their portfolio in local investments, although a given local investment performs only as poorly in these states as in other states. Relative to the performance of the rest of the private equity universe, overweighting and underperformance in local investments reduce public pension fund resources by $1.2 billion per year.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".