Patrilocality and human capital accumulation <i>Evidence from Central Asia</i><sup>1</sup>
Bibliographic record
Abstract
Abstract Anthropologists estimate that 70 percent of human societies are patrilocal, meaning that adult sons reside with their parents, and that wives go to live with their husbands’ families upon marriage. Yet very little is known about how this widespread social norm influences intrahousehold resource allocation and, through this, economic development. This paper examines the effects of patrilocality on schooling and household educational expenditures in Tajikistan. To identify the causal effect of living in a three versus two generation household on these outcomes, exogenous variation in housing availability across communities is exploited. It is shown that the impacts of living in a three generation household are important for both school enrolment and for educational spending. The results suggest that one reason why patrilocal societies remain poorer than those with nuclear household norms is that three generation households make relatively few human capital investments in the youngest generation. Patrilocality, which probably evolved to solve coordination problems in agrarian societies, may thus be a cause rather than simply a correlate of low educational attainment in developing countries.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".