LIQUIDITY CONSTRAINTS, HOUSEHOLD WEALTH, AND ENTREPRENEURSHIP REVISITED
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
The existence of liquidity constraints for entrepreneurs has been challenged by the finding that business entry rates are invariant throughout most of the asset distribution and increase dramatically only at the top of this distribution. We reexamine the liquidity constraint hypothesis in three ways. First, we separately examine those who do and those who do not experience a job loss to reveal generally increasing entry rates through the wealth distribution for both groups, and show why these groups should be separately analyzed. Second, we use a two‐period simulation of the Evans and Jovanovic model to shows how exogenous wealth shocks can accurately identify the presence of liquidity constraints. Third, we provide new evidence from matched Current Population Survey data to show that housing appreciation measured at the MSA‐level is a significantly positive determinant of entry into self‐employment, after controlling for changes in local economic conditions.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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