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Record W2339821599

The Cost of Raising Children

2013· article· en· W2339821599 on OpenAlexaffabout
Christopher A. Sarlo

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsNipissing University
Fundersnot available
KeywordsRaising (metalworking)Consumption (sociology)CashEconomic costOpportunity costEconomicsPublic economicsActuarial scienceCost–benefit analysisBusinessPolitical scienceEngineeringFinanceMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

The annual cost of raising a child is important information-for its own sake and also for public policy purposes. Such estimates can be helpful to parents or prospective parents. It can also inform policies related to child benefits and possible parental child support obligations. This paper reviews prevailing approaches to the measurement of child costs and proposes budget based alternatives. The paper argues that there is no methodology or formula that can determine how much parents need to spend to raise children or, even, how much they actually do spend. What we do know is that parents at all income levels have successfully raised children. The objective of this paper is to find, at least, a base level of annual child costs that would need to be covered for the healthy development of the child.The cost of raising a child is defined as the cash outlay “marginal” costs that parents spend when they add a child to their household. These costs specifically exclude any costs that were already in place prior to the child and would still be in place if the child leaves the household. The cost of raising a child is usefully distinguished from the costs involved in the decision to “have” a child, which necessarily includes the full opportunity cost of such a decision.There are two broad strands of estimates of child costs. One strand is that group of estimates produced for popular consumption. The other strand includes estimates produced by academic economists and statisticians. While there is some overlap between the two strands, the former tends to be less technical and less reliant on economic theory. However, at the core, both strands attempt to extract relevant information from actual household expenditure data. This paper critically reviews both strands and finds that both rely heavily on heroic assumptions about how to extract the child’s portion of actual family expenditures.Prevailing estimates of the cost of a child for Canada and the United States, currently, tend to be in the range of $10,000 to $15,000 per annum. These cost estimates have a distinct middle class bias and do not reflect the reality of raising children in lower income and newer immigrant households. There is a concern that such estimates send a clear message to lower income families that they really cannot afford children and, perhaps, shouldn’t have any.Examining the basic marginal costs necessary for the healthy development of a child, this paper finds that an annual outlay of $3,000 to $4,500 (depending on the community or region and the age of the child) would be sufficient. These cost estimates exclude any savings strategies such as home gardens, sewing and knitting clothing, couponing and taking advantage of sales, own repair and maintenance work in the home, etc. This cost range is for Canada in 2010 and is drawn from budget standard estimates by social agencies and experts with experience in this area. It can serve as a useful benchmark for child costs. Beyond this basic needs benchmark, however, parents will spend more on their child depending on such factors as after-tax income, perception of economic security, additional obligations, parenting style, marital situation, and time preference.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.261
Teacher spread0.251 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations2
Published2013
Admission routes2
Has abstractyes

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