Volume 50 - Article 17 | Pages 457–472
Racial classification as a multistate process
By Jerônimo Muniz, Aliya Saperstein, Bernardo Lanza Queiroz
Abstract
Background: Although the existence of racial fluidity is generally accepted in both Brazil and the United States, changes in racial classification over the life course are often not incorporated into standard demographic estimates.
Objective: By taking a multistate perspective on the variability of racial classification, we can use demographic methods to ask new questions about the nature of racial fluidity, such as: How many years can someone classified as White, Brown, or Black at birth expect to live in a different racial category? At what ages are changes in racial classification more likely to occur?
Methods: We compute multistate life tables using linked data from Brazil’s largest household survey (2017–2019 PNAD-C) to estimate transition probabilities between the White, Brown, and Black race categories, which we combine with age- and race-specific mortality probabilities.
Results: Transition probabilities reveal that up to age 65, Brazilians are more likely to be reclassified from either White or Black to Brown than they are to die at each age. Conditional life expectancy estimates show that Brazilians who were classified as Black at birth can expect to live almost 15 years of their lives classified as White, while those classified as White at birth can expect to live, on average, three years classified as Black.
Contribution: We provide important new evidence on the extent of racial fluidity in contemporary Brazil and demonstrate the feasibility of accounting for this fluidity in traditional demographic analysis.
Author's Affiliation
- Jerônimo Muniz - Universidade Federal de Minas Gerais (UFMG), Brazil EMAIL
- Aliya Saperstein - Stanford University, United States of America EMAIL
- Bernardo Lanza Queiroz - Universidade Federal de Minas Gerais (UFMG), Brazil EMAIL
Other articles by the same author/authors in Demographic Research
Analyzing regional patterns of mortality data quality and adult mortality for small areas in Brazil, 1980–2010
Volume 51 - Article 44
Data errors in mortality estimation: Formal demographic analysis of under-registration, under-enumeration, and age misreporting
Volume 51 - Article 9
Does race response shift impact racial inequality?
Volume 47 - Article 30
The relation between cardiovascular mortality and development: Study for small areas in Brazil, 2001–2015
Volume 41 - Article 51
Race, color, and income inequality across the Americas
Volume 31 - Article 24
Most recent similar articles in Demographic Research
Interrogating the quality and completion of mortality mobile phone interviews conducted in Malawi during COVID-19: An examination of interviewer–respondent interactions
Volume 51 - Article 46
| Keywords:
audio-recording,
LMICs,
Malawi,
mobile phone survey,
mortality,
RaMMPS
Analyzing regional patterns of mortality data quality and adult mortality for small areas in Brazil, 1980–2010
Volume 51 - Article 44
| Keywords:
Brazil,
mortality differentials,
small area estimation,
spatial analysis
Excess mortality associated with HIV: Survey estimates from the PHIA project
Volume 51 - Article 38
| Keywords:
excess mortality,
HIV/AIDS,
mortality
A Bayesian model for age at death with cohort effects
Volume 51 - Article 33
| Keywords:
age at death,
Bayesian approach,
cohort effects,
Italy,
mortality
The impact of the COVID-19 pandemic on mortality in Uruguay from 2020 to 2022
Volume 51 - Article 29
| Keywords:
COVID-19,
excess mortality,
life expectancy,
Uruguay
Cited References: 53
Download to Citation Manager
PubMed
Google Scholar