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Testing theories about human senescence and longevity demands accurate information on older-adult mortality; this is rare in low- to middle-income countries where raw data may be distorted by defective completeness and systematic age misreporting. For this reason, such populations are frequently excluded from empirical tests of mortality and longevity theories, thus limiting their reach, as they reflect only a small and selected human mortality experience. In this paper we formulate an integrated method to compute estimates of older-adult mortality when vital registration and population counts are defective due to inaccurate coverage and/or systematic age misreporting. The procedure is validated with a simulation study that identifies a strategy to compute adjustments, which, under some assumptions, performs quite well. While the paper focuses on Latin American and Caribbean countries, the method is quite general and, with additional information and some model reformulation, could be applied to other populations with similar problems. [ABSTRACT FROM AUTHOR]

This paper analyzes the extent and nature of age-misreporting in the Mosaic data, currently one of the largest historical census microdata infrastructures for continental Europe. We use demographic measures known as the age heaping indexes to explore regional, periodic and sex-specific patterns of age misreporting across 115 Mosaic regional datafiles, from Catalonia to Moscow, during Europe's demographic ancien régime and thereafter. The paper's second significant contribution is the comparison of Mosaic-based results to those derived from two other big census data projects—IPUMS and NAPP. Beyond this exploratory data analysis, we also investigate possible sources of variation in age heaping across Mosaic data by examining how it relates to variability in socioeconomic, institutional, and environmental conditions. Overall, our systematic inquiry into quality of age reporting in Mosaic consolidates the project's potentially transformative role in comparative historical family demography and suggests some avenues for future research. [ABSTRACT FROM AUTHOR]

Using Matlab demographic surveillance data (HDSS), we assess if misreporting of age at marriage could be contributing to the apparent persistence of early marriage in Bangladesh. A random sample of 1766 women aged 15–29 born in HDSS area was selected. Almost two-thirds misreported their age at marriage, but not randomly—56 percent under-reported while seven percent over-reported their age at first marriage. Among the currently married group aged 20–24, the reported mean age at first marriage was 16.8 years, comparable to 16.6 years given by Bangladesh Demographic and Health Survey 2011 for the same age group. However a cross-check with their actual dates of birth recorded in the Matlab HDSS database reveals that the true mean age at first marriage was 18.6 years—giving an average difference of almost two years between reported and actual ages at marriage. The paper identifies rising dowry as a likely determinant of age misreporting. [ABSTRACT FROM AUTHOR]

Highlights: [•] This paper examines returns to education in India for consumption and wages. [•] The returns appear high at the individual level for both men and women. [•] Yet comparing across cohorts the returns are low for men and zero for women. [•] The results are robust to measurement error and school quality. [•] There are higher returns in the regular wage market but that employs few people. [Copyright &y& Elsevier]