Citation:
Sánchez-Barricarte, J. J., Carracedo, P., Iftimi, A., Debón, A., & Montes, F. (2017). Evolution of Life Expectancy at Birth in French Départements Over the Period 1833–1982. Spatial Demography, 6 (2), pp. 89-120.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
Ministerio de Economía y Competitividad (España) Comunidad de Madrid Ministerio de Educación, Cultura y Deporte (España)
Sponsor:
Jesús J. Sánchez-Barricarte is supported by the Spanish Ministry of Economy and Competitiveness of Spain (grant CSO2012-31206) and Autonomous Community of Madrid (grant H2015/HUM-3321). Patricia Carracedo and Ana Debón are supported by the Spanish Ministerio de Economía y Competitividad (grant MTM2013-45381-P). Adina Iftimi is supported by the Spanish Ministerio de Educación, Cultura y Deporte (grant FPU12/04 531) and Spanish Ministerio de Economía y Competitividad (grant MTM2016-78917-R). Francisco Montes is supported by the Spanish Ministerio de Economía y Competitividad (grants MTM2013-45381-P, MTM2016-78917-R).
Project:
Gobierno de España. CSO2012-31206 Comunidad de Madrid. H2015/HUM-3321 Gobierno de España. MTM2013-45381-P Gobierno de España. FPU12/04 531 Gobierno de España. MTM2016-78917-R Gobierno de España. MTM2013-45381-P Gobierno de España. MTM2016-78917-R
Keywords:
Life expectancy
,
Spatial autocorrelation
,
Exploratory spatial data analysis
,
Spatial regression
This paper deals with spatial aspects of trends in life expectancy at birth in the French metropolitan departements over the nineteenth and twentieth centuries. Data from the censuses conducted from 1833 to 1982 were used to calculate the life expectancy at biThis paper deals with spatial aspects of trends in life expectancy at birth in the French metropolitan departements over the nineteenth and twentieth centuries. Data from the censuses conducted from 1833 to 1982 were used to calculate the life expectancy at birth for both sexes togheter, . The overall fertility index (I-f), marital fertility index (I-g) and nuptiality index (I-m) were also calculated for each 5-year period within the same time span. The analysis has two facets: a first, descriptive part in which we establish clusters of departements with similar or different patterns of evolution over the period above mentioned; and a second part in which the effect of covariables in changes in are examined. In addition their coefficients were interpreted including the direct and spatial spillover effects. Unlike earlier studies, in which a spatio-temporal analysis was performed, the time function showing changes in is reduced to a single value which measures the distance or affinity between the functions of time in each departement, which enables us to carry out an exploratory spatial data analysis and apply spatial econometric models.[+][-]