Evidence map›Paper›PMID 41917014›Full record

ArticleScientific data2026

Wealth Composition, Distribution, and Transmission: The Graduate Center Wealth Project Data Warehouse.

Maximilian Longmuir, Franziska Disslbacher, Severin Rapp, Frincasco Di Biase, Giacomo Rella, Francesca Subioli, Adam Rego Johnson, Matteo Targa, Salvatore Morelli, Manuel Schechtl and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Maximilian LongmuirStone Center on Socio-Economic Inequality at CUNY Graduate Center, New York, USA.
Franziska DisslbacherVienna University of Economics and Business, Department of Socioeconomics, Vienna, Austria.
Severin RappStone Center on Socio-Economic Inequality at CUNY Graduate Center, New York, USA.ORCID http://orcid.org/0000-0002-0824-2325
Frincasco Di BiaseRoma Tre University, Department of Law, Rome, Italy.
Giacomo RellaUniversité du Québec à Montréal, School of Managment (ESG UQAM), Montreal, Canada.
Francesca SubioliRoma Tre University, Department of Law, Rome, Italy.
Adam Rego JohnsonStone Center on Socio-Economic Inequality at CUNY Graduate Center, New York, USA.
Matteo TargaRoma Tre University, Department of Law, Rome, Italy.
Salvatore MorelliStone Center on Socio-Economic Inequality at CUNY Graduate Center, New York, USA. salvatore.morelli@uniroma3.it.
Manuel SchechtlUniversity of North Carolina at Chapel Hill, Department of Public Policy, North Carolina, USA.
Twisha AsherStone Center on Socio-Economic Inequality at CUNY Graduate Center, New York, USA.
Luca GiangregorioRoma Tre University, Department of Law, Rome, Italy.
Ignacio FloresRoma Tre University, Department of Law, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Private wealth, as well as its distribution and intergenerational transmission have become much-debated issues. However, existing evidence remains fragmented, context-dependent, and sometimes contested. This data descriptor introduces the Graduate Center (GC) Wealth Project data warehouse, a collection of databases covering multiple countries and time periods, designed to address these challenges. The data warehouse consolidates most existing evidence on private wealth and undertakes a significant data harmonization effort. We supplement each data point with extensive metadata on methodology. The data warehouse features an extensive collection of information on the household wealth levels and balance sheets, along with distributional statistics from a wide range of sources. Moreover, it draws together data on wealth transfer tax revenues, and tax features such as rates, exemption thresholds, and tax schedules. The broad range of data sources in the warehouse allows users to assess the degree of heterogeneity of estimates, and how methodological choices affect measurement outcomes. The new data series and policy indicators also allow extending quantitative analysis of wealth and public policy.

Identifiers

PMID41917014
PMCPMC13199452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.