Estimating the economic effects of remittances on the left-behind in Cambodia
Bibliographic record
Abstract
Using propensity score matching with the 2009 Cambodia Socio-Economic Survey of households, this study examines the effects of remittances on indicators of household wellbeing: poverty, consumption and labour participation of non-migrant members. The theoretical framework is built upon a “new economics of labour migration”, hypothesising that the emigration decision is jointly determined by households and individual migrants and that remittances basically represent a form of contractual arrangements between them. The results indicate that households with at least one migrant member and which receive remittances could reduce their poverty headcount rate by 3-7 percentage points vis-à-vis their matched controls. Remittances also reduce depth and severity of poverty of treated households. On the contrary, remittances generate a 5-9 percent “dependency effect” on working age adults who are employed due to reduced weekly hours worked. The impact of remittances on labour participation and salary income is, however, vulnerable to unobservable factors.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".