Cohérence des données sur les causes de décès à l’échelle infranationale: les exemples de la Russie, de l’Allemagne, des États-Unis et de la France

Inna Danilova, Roland Rau, Magali Barbieri, Pavel Grigoriev, Dmitri A. Jdanov, France Meslé, Jacques Vallin and Vladimir M. Shkolnikov

Population (french edition), 2021, vol. 76, issue 4, 693-725

Abstract: Dissimilarities in certifying and coding underlying causes of death may undermine the usefulness and reliability of cause-of-death statistics. Consistency in cause-specific mortality data within a country can be regarded as one criterion of data quality. This article assesses the subnational consistency in cause-of-death statistics in Russia, Germany, the United States, and France. We estimate the shares of major groups of causes in regional mortality structures and compare them with the interregional average values. We visualize the deviations on heat map matrices, pinpointing the cause?region combinations that deviate the most, the causes with high within-country variability, and the regions with unique mortality structure. France has the most consistent cause-of-death data across its regions, while Russia has the largest number of outliers. We also found that causes of death with no strict diagnostic criteria tend to display higher variability, while the shares of more easily diagnosed underlying causes are stabler across regions.

Keywords: mortality; causes of death; data quality; vital statistics; validation; subnational data (search for similar items in EconPapers)
Date: 2021
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