Modernizando los cómputos demográficos: algunos ejemplos ilustrativos
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Palabras clave

Algoritmos demográficos
Lenguaje R
Método de Sprague
Método Gompertz Relacional
Estimación de mortalidad infantil y en la niñez

Cómo citar

Hakkert, R., & Menezes, M. (2024). Modernizando los cómputos demográficos: algunos ejemplos ilustrativos. Revista Latinoamericana De Población, 18, e202315. https://doi.org/10.31406/relap2024.v18e202315

Resumen

Aunque el uso de computadoras y software sofisticado, particularmente R, se ha vuelto común en la demografía, esto no ha llevado a una revisión de algunos algoritmos demográficos tradicionales, los cuales fueron originalmente diseñados para superar obstáculos computacionales que actualmente ya no existen. Este artículo argumenta que, en lugar de implementar los algoritmos existentes en el poderoso software actual, es hora de aprovechar el software para modificar los propios algoritmos. Ilustra esta idea con tres ejemplos: la interpolación de Sprague, el método relacional de Gompertz para estimar la fecundidad y la estimación de la mortalidad infantil y en la niñez a partir de las proporciones de los hijos sobrevivientes por edad de la madre. En cada caso, se muestra que el análisis se puede hacer más simple, directo, intuitivo, transparente y preciso usando los recursos que ofrece un software como R. También se muestra que la mayor flexibilidad de estos algoritmos crea oportunidades para extender cada  método.


Abstract

Although the use of computers and sophisticated software, particularly R, has become common in demography, this has not led to a revision of some traditional demographic algorithms, which were originally designed to overcome computational obstacles that nowadays no longer exist. This article argues that, rather than implementing the existing algorithms in today’s powerful software, it is time to take advantage of this software to modify the algorithms themselves. It illustrates this idea with three examples: Sprague interpolation, the Relational Gompertz method for fertility estimation, and the estimation of infant and child mortality from proportions of surviving children by mother’s age. In each case, it is shown that the analysis can be made simpler, more direct,
intuitive, transparent, and precise by making use of the resources offered by software such as R. It is also shown that the greater flexibility of these algorithms creates opportunities for extending each method. 

https://doi.org/10.31406/relap2024.v18e202315
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