Spatial Bayesian modeling of household structure and fertility in municipalities of Mexico
DOI:
https://doi.org/10.15517/psm.v20i1.49927Keywords:
Total fertility rate, household typology, INLAAbstract
This paper seeks to model the effect that different patterns of household composition have on the observed levels of fertility in the municipalities of Mexico in the year 2020; it is a quantitative cross-sectional cohort research based on the application of spatial Bayesian methods. The hypothesis is that the presence of a higher percentage of family households should have an impact on higher municipal fertility rates. The methodology involves the implementation of two latent Gaussian models. One null model, which seeks to determine whether the observed fertility patterns were generated by some socio-demographic mechanism or, on the contrary, arose randomly, and two, a model with covariates whose objective is to replicate the behavior of fertility by evaluating the effect of the proportion of nuclear, extended and compound households present in municipalities. The results obtained from estimation of null model confirm the existence of a direct relationship between increase in the proportion of nuclear and extended households and the increase of municipal fertility. However, it can be concluded that the level of replacement fertility reached by Mexico in the year 2020 is the product of marked differences between municipalities; differences originated by the presence of a heterogeneous typology of households immersed in disparate geographic, social and cultural contexts.
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References
Acosta, F. (2003). La familia en los estudios de población en América Latina: estado del conocimiento y necesidades de investigación. Papeles de población, 9(37), 9-50.
Arango, J. (1980). La teoría de la transición demográfica y la experiencia histórica. Reis, 10, 169-198. https://doi.org/10.2307/40182779
Arriagada, I. (2013). Desigualdades en la familia: trabajo y cuidado en Chile. En C. Mora (Ed.), Desigualdad en Chile: La continua relevancia del género (pp. 91-112). Editorial Universidad Alberto Hurtado.
Bivand, R., Gómez, V. y Rue, H. (2015). Spatial Data Analysis with R-INLA with Some Extensions. Journal of Statistical Software, 63(20), 1-31. https://doi.org/10.18637/jss.v063.i20
Blangiardo, M. y Cameletti, M. (2015). Spatial and Spatio-Temporal Bayesian Models with R-INLA. John Wiley y Sons.
Bongaarts, J. (1983). The formal demography of families and households: an overview. Newsletter. International Union for the Scientific Study of Population, (17), 27-42.
Bongaarts, J., Burch, T. y Wachter, K.W. (Eds). (1987). Family Demography: Methods and Applications. Clarendon Press.
Burch, T. (1970). Some Demographic Determinants of Average Household Size: An Analytic Approach. Demography, 7(1), 61-69. DOI: https://doi.org/10.2307/2060023
Burch, T. (1980). The Index of Overall Headship: A Simple Mesure of Household Complexity Standardized for Age and Sex. Demography, 17(1), 25-37. https://doi.org/10.2307/2060961
Burch, T. K. (1976). “Algunos factores demográficos determinantes del tamaño del hogar”, en T. K. Burch et al., La familia como unidad de estudio demográfico, Celade, San José.
Caldwell, J. C. (1982). Theory of fertility decline. Academic Press.
Chesnais, J.C. (1992). The demographic transition: Stages, patterns, and economic implications. University Press.
Cochinero, B. (1982). Aspectos demográficos de la sociología de la familia: la edad al matrimonio. En R. Conde (Comp.), Familia y cambio social en España. (pp. 63-87). Centro de Investigaciones Sociológicas.
Conde, R. (1983). Tendencias de cambio en la estructura familiar. Reis, 21, 33-60. https://doi.org/10.2307/40182998
De Vos, S. (1987). Latin America households in comparative perspective. Poputations Studies, 41(3). https://doi.org/10.1080/0032472031000143026
Delgado, M. (2001). Los indicadores demográficos como reflejo del cambio social. Estructura y cambio social. En Homenaje a Salustiano del Campo (pp. 139-150). Centro de Investigaciones Sociológicas.
Easterlin, R. A. y Crimmins, E. N. (1985). The fertility revolution: A demand–supply analysis. University of Chicago Press.
Echarri, C. (2009). Estructura y composición de los hogares en la Endifam. En C. Rabell Romero (Eds.), Tramas familiares en el México contemporáneo, una perspectiva sociodemográfica. Colegio de México.
Esteinou, R. (2004). El surgimiento de la familia nuclear en México. Estudios de historia novohispana, 31, 99-136.
García, B. (Coord.). (1999). Mujer, género y población en México. El Colegio de México, Sociedad Mexicana de Demografía.
Goode, W. (1982). Rethinking the Family: Some Feminist Questions. Northeastern University Press.
Goodman, L., Keyfitz, N. y Pullum, T. (1974). Family Formation and the Frequency of Various Kinship Relationships. Theoretical Population Biology, 5(1), 1-27. https://doi.org/10.1016/0040-5809(74)90049-5
Hakim, C. (2005). Modelos de familias en las sociedades modernas. Ideales y realidades. CIS.
Hammel, E. y Laslett, P. (1974). Comparing Household Structure over Time and between Cultures. Comparative Studies in Society and History, 16(1), 73-109.
Instituto Nacional de Estadística y Geografía. (2015). Encuesta intercensal 2015: síntesis metodológica y conceptual. INEGI. https://transpdgo.s3.amazonaws.com/sedesoe/Fracc%20XLVII/Encuesta%20Intercensal%202015_sintesis.pdf
Instituto Nacional de Estadística y Geografía. (2018). Estadísticas de nupcialidad. INEGI. https://en.www.inegi.org.mx/contenidos/programas/nupcialidad/doc/matrimonios_2018_nota_tecnica.pdf
Instituto Nacional de Estadística y Geografía. (2021). Censo de Población y Vivienda 2020: Marco conceptual. INEGI. https://www.inegi.org.mx/contenidos/productos/prod_serv/contenidos/espanol/bvinegi/productos/nueva_estruc/702825197520.pdf
Keilman, N. y Keyfitz, N. (1988). Recurrent Issues in Dynamic Household Modelling. En N. Keilman (Eds.), Modelling Household Formation and Dissolution (pp. 254-278). Clarendon Press.
Kuznets, S. (1978). Size and Age Structure of Family Households: Exploratory Comparisons. Population and Development Review, 4(2), 187-223. https://doi.org/10.2307/1972278
Lamo de Espinosa, E. (1995). ¿Nuevas formas de familia? Claves, 50, 50-55.
Laslett, P. (1972). Introduction. The history of the family. En P. Laslett y R. Wall (comps), Household and family in past time (pp. 1-90). Plenun Press.
Laslett, P. (1987). El mundo que hemos perdido, explorando de nuevo. Alianza.
Laslett, P. y Wall, R. (Eds). (1972). Household and Family in Past Time. Cambridge University Press.
Lesthaeghe, R. y van de Kaa, D. J. (1986). Twee Demografische Transities? (Two Demographic transitions?). En D. J. van de Kaa and R. Lesthaeghe (Eds.), Bevolkingroei en Krimp (Population: Growth and Decline) (pp. 9-24). Van Loghum Slaterus.
Lesthaeghe, R. (1994). Una interpretación sobre la segunda transición demográfica en los países occidentales. Demografía y políticas públicas, 2, 9-60. https://www.emakunde.euskadi.eus/contenidos/informacion/pub_jornadas/es_emakunde/adjuntos/jornada.02.demografia.politicas.publicas.cas.pdf
Levy, M. (1965). Aspects of the Analysis of Variation in Family Structure. En A.J. Coale, L. A. Fallers and P. B. King (Eds.), Aspects of the Analysis of Family Structure. Princeton University Press.
Maclnnes, J. y Díaz, J. P. (2008). La tercera revolución de la modernidad; la revolución reproductiva. Reis.
Moraga, P. (2019). Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny. Chapman and Hall/CRC Press.
Notestein, F. (1945). Population: The Long View. En T. Schultz (Ed.), Food for the World. University of Chicago Press.
Oliveira, O. y García, B. (2017). Aproximaciones sociodemográficas al estudio de los hogares y familias en México. En García, B., Nájera, J. y Pacheco, E. (Coord.), Hogares y trabajadores en México en el siglo XXI (pp.71-128). El Colegio de México.
Oudhof, H., y Robles, E. (2014). Familia y crianza en México. Entre el cambio y la continuidad. Fontamara.
Páez, O. y Zavala, M., (2016). Tendencias y determinantes de la fecundidad en México: las desigualdades sociales. En Coubès, M.; Solís, P. y Zavala, M. (Coords.), Generaciones, curso de vida y desigualdad social en México. El Colegio de México.
Pliego, F. (2014). Las familias en México. Porrúa.
R Core Team. (2016). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing.
Rabell, C. y Gutiérrez, E. (2014). Grupos domésticos hogares y familias en los censos de 1895 a 2010. En Rabell C. (Coord.), Los mexicanos. Un balance del cambio demográfico (pp. 225-268). FCE.
Rabell C. (2009). Tramas Familiares en el México Contemporáneo: una perspectiva Sociodemográfica. UNAM, COLMEX.
Reher, D. S. (1997). Familia y sociedad en el mundo occidental desarrollado: una lección de contrastes. Revista de Occidente, 199, 112-132.
Rue, H., Martino, S. y Chopin, N. (2009). Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71(2), 319-392. DOI: https://doi.org/10.1111/j.1467-9868.2008.00700.x
Ryder, N. B. (1984). Fertility and Family-Structure. Population Index, 50(3), 445-445.
Santelices, L. (2001). La familia desde una mirada antropológica: registros para educar. Pensamiento Educativo, 28(1), 183-198. http://www.horizonteenfermeria.uc.cl/index. php/pel/article/view/29279
Schrödle, B. y Held L. (2011). Spatio-temporal disease mapping using INLA. Environmetrics, 22(6), 725-734.
Tobler, W.R. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(Supplement 1), 234-240. DOI: https://doi.org/10.2307/143141
Tuirán, R. (1993). Vivir en familia: hogares y estructura familiar en México, 1976-1987. Comercio exterior, 43(7), 662-676. http://revistas.bancomext.gob.mx/rce/magazines/248/8/RCE8.pdf
Wang, X., Yue, Y. R. y Faraway, J. J. (2018). Bayesian Regression Modeling with INLA. Chapman and Hall/CRC.
Welti, C. (2011), Análisis de la fecundidad en México con los datos del Censo de Población y Vivienda 2010. Papeles de Población, 18(73). http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-74252012000300004
Zavala, M. (2010). Las variables determinantes de la fecundidad. Métodos clásicos, avances recientes, perspectivas. En X Reunión Nacional de Investigación Demográfica en México (pp. 1-15). México. https://halshs.archives-ouvertes.fr/halshs00595458/ document
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