Bibliographic record
Abstract
Non-farm informal businesses comprise the majority of the firm distribution in developing countries. We document novel stylized facts about entry and exit of informal, non-farm firms using nationally representative panel data over 15 years and across regions with varying levels of local economic development in Vietnam. First, we find that informal businesses exhibit rates of entry and exit around 14-18% annually. Entry and exit rates are similar and highly correlated at a point in time, within industries, and within regions. They both decline over time and across space with economic development. Second, although market selection influences which firms survive, entry and exit has little net effect on aggregate (revenue) productivity or hiring of workers outside the household. This owes to overlapping labor productivity of entering and exiting firms and low subsequent productivity growth and hiring among the surviving entrants. Nonetheless, entry and exit are associated with large changes in individual income. Third, the large overlap in revenue of entering and exiting informal businesses and the high correlation between entry and exit rates are related to the education of owners and their economic activities before and after operating an informal business. Informal business owners are less educated on average than wage workers in the formal sector, but more educated than agricultural workers. The transitions in and out of operating an informal business reflect the underlying structure of economic activities of the working age population, with education gaps also playing a role. The most common transition into non-farm businesses is to and from self-employment in agriculture. The likelihood of this transition declines with economic development, highlighting the role of net entry from agriculture into informal non-farm businesses in structural change.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".