Economic and Social Status in Household Decision-making: Evidence Relating to Extended Family Mobility
Bibliographic record
Abstract
Models of the allocation of household resources use as a decision rule either the maximisation of a household utility function or the solution to a Nash-bargaining game. The literature on residential mobility has exclusively used the former to analyse the household's decision to change location. This is despite the strong empirical evidence that allocations in other areas are more consistent with the bargaining model. In this paper micro-data from Taipei, Taiwan, are used to determine which approach is most appropriate for studying housing mobility decisions. The mobility decisions of nuclear and different types of extended family household are compared to test whether the social and economic roles of different generations affect the household decision process, as is consistent with the bargaining approach. Thus, household mobility is analysed with a richer description of household structure than is found in the current literature, which implicitly treats households as either a nuclear family or some smaller unit. The results support the bargaining model of household decision-making. Conditional probabilities differ between nuclear and extended families, when a member of the eldest generation in an extended household is the household head, and when a member of the eldest generation contributes to household earnings. Of these, it is found that economic status is paramount to social status.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".