Articlehybrid2016

Deriving age and gender from forenames for consumer analytics

43 citations0/0 files storedJournal of Retailing and Consumer Services

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Data Quality and Management Insurance, Mortality, Demography, Risk Management Names, Identity, and Discrimination Research

Abstract

This paper explores the age and gender distributions of the bearers of British forenames and identifies key trends in British naming conventions. Age and gender characteristics are known to greatly influence consumption behaviour, and so extracting and using names to indicate these characteristics from consumer datasets is of clear value to the retail and marketing industries. Data representing over 17 million individuals sourced from birth certificates and market data have been modelled to estimate the total age and gender distributions of 32,000 unique forenames in Britain. When aggregated into five year age bands for each gender, the data reveal distinctive age profiles for different names, which are largely a product of the rise and decline in popularity of different baby names over the past 90 years. The names database produced can be used to infer the expected age and gender structures of many consumer datasets, as well as to anticipate key characteristics of consumers at the level of the individual.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 43 citations exist upstream.

References

1998The Consumer Society: Myths and Structures 1984Ecological Fallacies and the Analysis of Areal Census Data 2018Applied Discrete-Choice Modelling 2003Generation Y female consumer decision‐making styles 2003Gender and E-Commerce: An Exploratory Study 2014Fashion Shopping in Multichannel Retail: The Role of Technology in Enhancing the Customer Experience 2004Buying on the Internet: Gender Differences in On-line and Conventional Buying Motivations 2001A matter of taste: how names, fashions, and culture change

Cited by

2017A Consumer Analytics Framework for Enabling Data-Driven Marketing Intervention Methods 2022The Emergence of Technopreneurship for Sustainable and Ethical Economic Growth: Theory, Research and Practice 2021Evaluating water quality using social media and federal agency data

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.