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Record W303825750

Longitudinal Estimates of Child Poverty in the Maritimes versus the Rest of Canada

2004· article· en· W303825750 on OpenAlexvenueaboutno aff
Paul J. Burton, Shelley Phipps, Lynn Lethbridge

Bibliographic record

VenueCanadian Journal of Regional Science · 2004
Typearticle
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyChild povertyLongitudinal dataLongitudinal studyDemographyDemographic economicsSocioeconomicsGeographyEconomicsEconomic growthMedicineSociology
DOInot available

Abstract

fetched live from OpenAlex

Abstract We use the first 3 cycles of the National Longitudinal Survey of Children and Youth (1994, 1996 and 1998) to compare longitudinal estimates of child poverty in the Maritimes and the test of Canada. We compare how many children ever encountered poverty as well as how many children remained poor throughout the study period. We describe, as well, the extent of their income shortfall. This descriptive comparison is followed by a multivariate analysis of the correlates of child poverty in the two regions. In particular, we are interested in the role of labour markets as an explanation for the much higher rates of poverty, particularly chronic poverty, experienced by children living in the Maritimes. ********** We know that children living in the Maritime provinces of Canada have historically experienced higher rates of poverty than children living elsewhere in Canada. However, most evidence to date is based upon cross-sectional data, which provides only a snapshot at a point in time. Thus, we do not know whether cross-sectional child poverty rates are higher in the Maritimes because children remain poor for longer periods of time, or because more Maritime children have short spells of poverty. And, the implications of having more long-term versus more short-term poverty for children's health, happiness and educational success in the Maritimes versus the rest of Canada are not the same. While it is clear that higher rates of poverty in general are associated with worse outcomes for children, longer-term poverty bas particularly adverse consequences, especially for cognitive outcomes (see Phipps (2003) for a recent survey). Further, deciding how to design policy to tackle the problem of child poverty will be informed by a knowledge of whether a small group of children are chronically poor or a larger group experience shorter spells of poverty. If patterns of child poverty differ across regions, policy responses may need to differ correspondingly. This paper uses data from the National Longitudinal Survey of Children and Youth to compare experiences of child poverty in the Maritimes versus the rest of Canada. What follows is divided into five sections. First, a review of relevant literature is presented; then the data are described; this is followed by a descriptive analysis of longer-term child poverty in the Maritimes compared to the rest of Canada; then, multivariate techniques are used to examine the role played by observable differences across the regions, with a particular focus on labour markets, in explaining the much higher rates of child poverty in the Maritimes. Finally, some conclusions are presented. Selected Review of the Literature Although cross-sectional studies indicate higher rates of child poverty in the Maritimes (e.g., National Council of Welfare 2002; Ross et al 2000; Sharif and Phipps 1994), there is little comparative analysis of longer-terre child poverty across Canadian regions. Two Canadian longitudinal studies do present fmdings relevant to the question of whether poverty is primarily chronic or transitory (though not whether patterns differ by region). Finnie and Sweetman ((2003), based on Finnie (2000a and 2000b)) use a sample of individuals aged 20 and over from the Longitudinal Administrative Database (LAD) and find that individuals poor in 1992 were most likely to remain poor throughout the survey period (1992-1996); the second most likely path was to leave poverty in the next period and not to be observed poor again. Picot et al (1999) use longitudinal micro data from the Survey of Labour and Income Dynamics (SLID) for 1993 and 1994. They focus on children and again suggest considerable persistence of poverty. Thus, existing Canadian evidence suggests 'two worlds' of poverty--those who are only temporarily poor and those who are chronically poor; this is also consistent with evidence for the US and Europe (e.g., Bane and Ellwood 1986; Bradbury and Jantti 2001). …

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
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 head0.098
GPT teacher head0.326
Teacher spread0.229 · 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 designObservational
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

Citations3
Published2004
Admission routes2
Has abstractyes

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