Conspicuous Daughters: Exogamy, Marriage Expenditures, and Son Preference in India
Bibliographic record
Abstract
The literature on son preference postulates a strong link between marriage expenditures, dowry practices, and son preference, leading to the elimination of female foetuses and important discriminatory practices against girls. This statement, however, has not, as far as I know, been tested empirically using a representative sample of the Indian population. Using data from the India Human Development Survey (IHDS) conducted in 2005, this paper shows that marriage expenditures by the bride’s family and dowry payments reduce stated son preference, ceteris paribus, supporting the idea that the bride’s family’s marriage expenditures and dowries are Veblen goods. The results, therefore, support the sankritisation theory, as expensive marriage practices are used to enhance social status. This result is robust to a series of robustness check, including the use of revealed son preference. The main drivers behind son preference appear to be exogamy and the need for old age support. Other important factors are religious beliefs and access to modern information (education and media). Finally, this article also shows that lavish marriage expenditures, for both groom’s and bride’s family, reduce fertility.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".