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Record W1930813319

Wealth in the UK: Distribution, Accumulation, and Policy

2013· book· en· W1930813319 on OpenAlexaboutno aff
John Hills, Francesca Bastagli, Frank Cowell, Howard Glennerster, Eleni Karagiannaki

Bibliographic record

VenueLSE Research Online · 2013
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsNational wealthInequalityAsset (computer security)Distribution (mathematics)Inheritance (genetic algorithm)Distribution of wealthEconomicsWealth elasticity of demandWealth distributionPensionPublic economicsDemographic economicsLabour economicsFinance
DOInot available

Abstract

fetched live from OpenAlex

This book examines key issues connected with the distribution of personal wealth in the UK. It examines why wealth is now such an important factor in social differences and public policy. It presents the most recent information on current wealth inequalities and a detailed discussion of trends in the distribution of wealth. It uses newly available data to compare wealth inequalities in the UK with the USA, Canada and Sweden. It uses longitudinal data, which track the same people over time, to examine trajectories in wealth accumulation over the decade to 2005 and inequalities in inheritances over the same period. It looks at how parental wealth levels and people's asset-holdings early in adulthood affect outcomes later in their lives. The final part looks at the way in which policies towards wealth-holding developed historically, and the contradictory ways in which a wide range of public policies relate to people's wealth levels, including through taxation, means-testing, and the encouragement of saving, and discusses what the key issues for policy towards wealth and wealth inequalities now are. Personal wealth in the UK totalled £5.5 trillion by 2010 (£9-10 trillion if occupational pension rights are included). Inheritance flows are now equivalent to 4 per cent of national income each year. All households in the wealthiest tenth have more than 75 times the wealth of any of those in the bottom tenth. Absolute differences in wealth levels have increased substantially over the last 15 years, so wealth differences represent many more years of income than in the past. This makes them of great importance to life chances. This makes the book highly relevant for public policy, but also for academic and student understanding of a crucial dimension of social difference. As well as bringing together existing information on the area, the book contains considerable new analysis on wealth inequality, inheritance and their impacts, drawing on work which is at the forefront of recent research.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.164
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0020.003
Scholarly communication0.0080.008
Open science0.0010.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0170.003

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 head0.137
GPT teacher head0.378
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations20
Published2013
Admission routes1
Has abstractyes

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