Disease and development—The predicted mortality instrument revisited

Bibliographic Data

ID21653552
AuthorsDavid Kreitmeir (0009-0000-1808-1855, Department of Economics and SoDa Laboratories Monash University Caulfield East Victoria Australia), Thomas Überfuhr (Department of Economics LMU Munich Munich Germany, corresponding author)
Year2024
Volume39
Issue2
Pages327-337
Publication date2024-03-01
Open AccessYes
TypeARTICLE
VenueJournal of Applied Econometrics (JOURNAL)
Journal identifiersISSN: 1099-1255 • E-ISSN: 0883-7252
PublisherWiley (PUBLISHER • GB)
DOI10.1002/jae.3023
OpenAlexW4390829254
LanguageEN
References cited17

This paper revisits Acemoglu‐Johnson the predicted mortality instrument. Drawing on a unique historical data set of disease‐specific mortality rates, we reconstruct several versions of the instrument that differ in terms of data usage and instrument relevance. Our findings confirm its predictive power on life expectancy. The replication analysis reveals a significant positive second‐stage effect of life expectancy on population and total birth rates and a negative effect on GDP per capita for a subset of the revised instruments. Overall, data coverage and empirical tests suggest the superiority of our country‐level instrument

Data set · Disease · Econometrics · Economics · Life expectancy · Mortality rate · Pathology · Per capita · Population · Predictive power · Sociology · Statistics · Computer Science · Demography · Global Health Care Issues · Global Maternal and Child Health · Insurance, Mortality, Demography, Risk Management · Mathematics · Medicine

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Open DOIOpen Access