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Record W4245938744 · doi:10.3386/w27210

Collateralized Marriage

2020· report· en· W4245938744 on OpenAlexaff
Jeanne Lafortune, Corinne Low

Bibliographic record

VenueNational Bureau of Economic Research · 2020
Typereport
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCollateralized debt obligationPolitical scienceLaw

Abstract

fetched live from OpenAlex

We study the role of wealth in the marriage contract by developing a model of the household where investments in public goods can be made at the cost of future earnings. If couples cannot commit ex ante to a sufficiently equal post-divorce allocation, specialization and public good creation will be sub-optimal. However, accumulating joint assets, which the marriage contract specifies are to be divided in the case of divorce, can reduce this problem by offering insurance to the lower earning partner. Our model demonstrates that access to this "collateralized" version of the contract will lead to more household specialization, more public goods, and a higher value of marriage. To test the model's predictions, we use homeownership as a proxy for access to joint savings technology, since homes are particularly likely to be divided in a way that favors the lower earning partner. We use idiosyncratic variation in housing prices at the time of marriage and an instrumental variables strategy to show that quasi-exogenous variation in homeownership access leads to greater specialization. We then show that as policies made marriage and nonmarital fertility more similar in other ways, wealth has become a more important determinant of who marries. Our model and empirical results suggest wealthy individuals can access a more advantageous marriage contract, which has important policy implications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.369
GPT teacher head0.529
Teacher spread0.159 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations11
Published2020
Admission routes1
Has abstractyes

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