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Record W7132997985

Essays on Intergenerational Inequality

2022· dissertation· W7132997985 on OpenAlexaboutno aff
James Uguccioni

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationUnemploymentEarningsInequalityEducational attainmentImmigrationSocial mobilityRacismWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

James UguccioniDoctor of Philosophy Department of Economics University of Toronto 2022 This thesis contains three papers examining the sources of, and policy remedies for, intergenerational inequality. In Chapter 1, I consider how children are affected by parental job loss. I provide the first empirical evidence of the long-run effects of parental unemployment on children exposed before age 10 (and as young as 2), a period thought to be critical for child development. Using administrative tax data covering children born in Canada between 1972 and 1985 and random forest proximity matching, I estimate the causal effects of parental job loss experienced at different points in childhood on a child's income attainment. I find that children exposed to parental unemployment at ages 2 to 10 experience losses of 3 to 4 rank points in average earnings attainment in adulthood (approximately $2,500 per year). In Chapter 2, I study how the emigration of millions of Black families from the South in the United States, known as the Great Migration, affected equality of opportunity. I am among the first to consider how Black emigrants affected their counties of origin in South. I focus on how the Great Migration affected racial inequality in educational attainment, building off of previous work showing that Black emigration limited discrimination from local governments. Using a shift-share instrument to isolate the effects of Black emigration, I find that higher emigration rates caused the Black-white gap in average educational attainment to shrink considerably. Finally, Chapter 3, based off of joint work with Shari Eli, Price Fishback, and Adriana Lleras-Muney, explores the emergence of the modern welfare system in the United States. We study the political economy of the first welfare program in the United States, the Mothers' Pension, which paid monthly pensions to widowed mothers. Despite being legislated in 46 states between 1911 and 1931, counties were left to administer, and often finance, these pensions themselves. Delegating the payment of pensions to counties led to irregular coverage and the pensions ultimately being replaced by Aid to Dependent Children. We collect new data and provide descriptive evidence that local demographics played an important role in the adoption and the payment of Mothers' Pensions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0850.001

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 head0.094
GPT teacher head0.466
Teacher spread0.372 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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