Entrepreneurship in the Informal Economy of Latin America and the Caribbean: A conceptual model of the finance-performance nexus
Bibliographic record
Abstract
Although the size of the informal economy is relatively large across Latin America and the Caribbean, it is not completely understood how deficiencies in the institutional environment may be related either to the propensity for entrepreneurship or the performance of entrepreneurs in the informal economy. Focusing on institutional heterogeneity, this paper characterizes external finance (i.e. local family-based equity, remittances, bank credit, business angel finance and venture capital) in terms of (1) the mix of finance, business consulting and contacts, (2) governance mechanisms (i.e. reputational capital versus formal contracts) and (3) fungibility (i.e. discretion to use funds borrowed or received for alternative purposes); and develop a number of propositions. The outcome is a finance-performance nexus that provides a basis for a theoretically grounded empirical investigation of the relationship between the financial aspects of the institutional environment and both the propensity for entrepreneurship and the performance of entrepreneurs in the informal economy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".