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Record W2612965855

Transfers Matter Most

2001· preprint· en· W2612965855 on OpenAlexaboutno aff
Daniyal Zuberi

Bibliographic record

VenueRePEc: Research Papers in Economics · 2001
Typepreprint
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyInequalityDevelopment economicsDemographic economicsEconomicsEconomic inequalityCulture of povertyEconomic growthBasic needs
DOInot available

Abstract

fetched live from OpenAlex

Three decades ago, Canada and the United States shared almost identical relative poverty and inequality levels. Yet despite experiencing similar macro-level social and economic transformations from 1974 to 1994 , the two nations have experienced diametrically opposite trends in relative household poverty. While levels of poverty increased in the U.S. during this period, Canada has experienced declining household poverty. Several institutional economists have utilized the comparative case of Canada to emphasize the important role of one kind of institution for explaining differences in poverty or inequality rates at one point in time i . These economists have presented compelling evidence that institutional differences, and not broader cultural or economic differences, explain the poverty and inequality differences between Canada and the U.S. in the late 1980s. These institutional differences include unionization policy and social welfare packages. Yet despite the importance of these institutional differences for explaining differences in poverty or inequality levels at one point in time, my analysis of Luxembourg Income Survey (LIS) data on Canada and the U.S. over this period clearly demonstrates that it is the different ways each nation has reformed their transfer systems over this period, and not other institutional differences or reforms, that comprehensively explain the divergent trends in relative household poverty rates from 1974 to 1994. My analysis utilizes harmonized LIS data to identify the relative explanatory strength of different facets of the transfer systems for explaining the divergence in poverty from 1974-1994. Surprisingly, the breakdown analysis reveals that the divergent trends can largely be explained by differences in the structure and reform of each nations Social Retirement benefits, a factor not mentioned as an explanatory factor in the previous literature. Differences in other Social Insurance transfers and ""Means-Tested"" benefits together also helped explain the divergence in poverty trends, but with less power than expected. The increased effectiveness of the Canadian transfers for reducing its relative household poverty rate compared to the American system over this period has consequences for explaining divergence in inequality and possibly health outcomes and other measures of well-being between these two nations.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.139
GPT teacher head0.408
Teacher spread0.269 · 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 designOther design
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
Published2001
Admission routes1
Has abstractyes

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