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Demography

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15.10.2018

Longevity and Lifespan Variation by Educational Attainment in Spain: 1960–2015

verfasst von: Iñaki Permanyer, Jeroen Spijker, Amand Blanes, Elisenda Renteria

Erschienen in: Demography | Ausgabe 6/2018

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Abstract

For a long time, studies of socioeconomic gradients in health have limited their attention to between-group comparisons. Yet, ignoring the differences that might exist within groups and focusing on group-specific life expectancy levels and trends alone, one might arrive at overly simplistic conclusions. Using data from the Spanish Encuesta Sociodemográfica and recently released mortality files by the Spanish Statistical Office (INE), this is the first study to simultaneously document (1) the gradient in life expectancy by educational attainment groups, and (2) the inequality in age-at-death distributions within and across those groups for the period between 1960 and 2015 in Spain. Our findings suggest that life expectancy has been increasing for all education groups but particularly among the highly educated. We observe diverging trends in life expectancy, with the differences between the low- and highly educated becoming increasingly large, particularly among men. Concomitantly with increasing disparities across groups, length-of-life inequality has decreased for the population as a whole and for most education groups, and the contribution of the between-group component of inequality to overall inequality has been extremely small. Even if between-group inequality has increased over time, its contribution has been too small to have sizable effects on overall inequality. In addition, our results suggest that education expansion and declining within-group variability might have been the main drivers of overall lifespan inequality reductions. Nevertheless, the diverging trends in longevity and lifespan inequality across education groups represent an important phenomenon whose underlying causes and potential implications should be investigated in detail.

Vorheriger Artikel Separating the Signal From the Noise: Evidence for Deceleration in Old-Age Death Rates

Nächster Artikel Lifespan Dispersion in Times of Life Expectancy Fluctuation: The Case of Central and Eastern Europe

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One exception is the study by Majer et al. (2011), which included Spain. The countries Van Raalte et al. (2012) analyzed are Sweden, Norway, Finland, Belgium, Switzerland, France, Slovenia, the Czech Republic, Poland, Estonia, and Lithuania. Italy is the only southern European country Murtin et al. (2017) analyzed.

According to Luy (2012:611), adoption effects and wrong age reporting on parents by offspring are in any case “unlikely to bias orphanhood-based estimates in modern populations from developed countries. Moreover, the biases caused by multireporting and various kinds of selection are to some extent mutually offsetting and therefore considered to be small and rather unimportant, as demonstrated in detail by Palloni et al. (1984).”

In the online appendix, Figs. A1 and A2 show the distribution of single-year birth years and age of alive and dead parents according to the ESD.

As noted earlier, the 1960–1989 data come from children who reported their parental educational level (i.e., it excludes the childless population). A comparison of the ESD data with the 1991 census that included a question on parity shows that the proportion of women aged 35+ who at most finished primary school education was slightly higher for mothers than for childless women (see Table A3 in the online appendix). Other than that, the proportion of primary or less-, secondary, and tertiary educated ESD respondents’ parents aged 35+ were between the proportions for the same age according to the 1981 and 1991 censuses.

Because of the small relative size of the population of highly educated individuals in the 1960s and 1970s, education-specific life expectancy levels might not always go in the expected direction when individuals with secondary education and those with college education are compared.

Because of the relatively small size of the population of highly educated individuals in the 1960s and 1970s, we do not observe the expected relationships between some contiguous education categories.

To be sure, it is the interaction between these factors that actually drove the changes in lifespan inequality: without the emergence of group differences in education mortality, education expansion alone would not suffice to explain any of the observed changes. The counterfactual analysis shown here is helpful to indicate which factors might have been more influential in explaining the observed changes.

The findings reported in Murtin et al. (2017) are particularly difficult to compare with ours because (1) the age ranges are different; (2) the analyzed years do not coincide; (3) they used three education categories rather than four; and more importantly, (4) they did not disaggregate their inequality results by sex as we do.

Even if the inequality indicators differ, it is still interesting to compare trends over time.

Hendi (2017) argued that this was due to numerator-denominator bias because Sasson (2016b) used unlinked data sources (National Vital Statistics System and U.S. Census Bureau). However, in Sasson’s (2017) reply, he stated that this discrepancy was within sampling variation. With regard to the two data sources used in our study, we would like to highlight that potential numerator-denominator bias is not relevant. As described earlier, the ESD pertains to a retrospective survey in which children reported on the survival status and educational attainment of their parents. Regarding the more recent INE mortality data, each mortality registry is linked to a population database that obtained the educational attainment of all individuals.

Attempts to model the potential effects of measurement error would need to specify how one would expect the measurement error to vary across education groups. Although one might a priori expect the less-educated to report the age at death and the educational attainment of their parents with lower accuracy than their highly educated counterparts, it is unclear what the direction of such error should be. Are the less-educated more likely to over- or underestimate the age at death of their parents? Might it be the case that the overestimation of some and the underestimation of others cancel each other? Because there does not seem to be a clear-cut answer to such questions, we consider that the benefits of performing a measurement error simulation exercise are not warranted. In this line, recent studies delving with related issues (i.e., estimating adult mortality indirectly based on data from close relatives) have concluded that it is unclear whether further attempts to account for the potential biases associated with indirect mortality estimation will result in more accurate estimates (Masquelier 2013).

Bongaarts, J. (2005). Long-range trends in adult mortality: Models and projection methods. Demography, 42, 23–49.CrossRef

Bongaarts, J., & Feeney, G. (2003). Estimating mean lifetime. Proceedings of the National Academy of Sciences, 100, 13127–13133.CrossRef

Borrell, C., & Arias, A. (1995). Socioeconomic factors and mortality in urban settings: The case of Barcelona, Spain. Journal of Epidemiology and Community Health, 49, 460–465.CrossRef

Borrell, C., Marí-Dell’Olmo, M., Serral, G., Martínez-Beneito, M., Gotsens, M., & MEDEA Members. (2010). Inequalities in mortality in small areas of eleven Spanish cities (The multicenter MEDEA project). Health & Place, 16, 703–711.CrossRef

Borrell, C., Plasencia, A., Pasarin, I., & Ortún, V. (1997). Widening social inequalities in mortality: The case of Barcelona, a southern European city. Journal of Epidemiology and Community Health, 51, 659–667.CrossRef

Borrell, C., Regidor, E., Arias, L.-C., Navarro, P., Puigpinós, R., Domínguez, V., & Plasencia, A. (1999). Inequalities in mortality according to educational level in two large Southern European cities. International Journal of Epidemiology, 28, 58–63.CrossRef

Brass, W. (1971). On the scale of mortality. In W. Brass (Ed.), Biological aspects of demography (pp. 69–110). London, UK: Taylor & Francis.

Brass, W., & Hill, K. H. (1973, August). Estimating adult mortality from orphanhood. Paper presented at the International Population Conference IUSSP, Liège, Belgium.

Breen, R., & Andersen, S. H. (2012). Educational assortative mating and income inequality in Denmark. Demography, 49, 867–887.CrossRef

Breen, R., & Salazar, L. (2011). Educational assortative mating and earnings inequality in the United States. American Journal of Sociology, 117, 808–843.CrossRef

Brønnum-Hansen, H. (2017). Socially disparate trends in lifespan variation: A trend study on income and mortality based on nationwide Danish register data. BMJ Open, 7(5), e014489. https://doi.org/10.1136/bmjopen-2016-014489 CrossRef

Brønnum-Hansen, H., & Baadsgaard, M. (2012). Widening social inequality in life expectancy in Denmark. A register-based study on social composition and mortality trends for the Danish population. BMC Public Health, 12, 994. https://doi.org/10.1186/1471-2458-12-994 CrossRef

Brown, D. C., Hayward, M. D., Montez, J. K., Hummer, R. A., Chiu, C.-T., & Hidajat, M. M. (2012). The significance of education for mortality compression in the United States. Demography, 49, 819–840.CrossRef

Canudas-Romo, V. (2008). The modal age at death and the shifting mortality hypothesis. Demographic Research, 19(article 30), 1179–1204. https://doi.org/10.4054/DemRes.2008.19.30

Case, A., & Deaton, A. (2015). Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century. Proceedings of the National Academy of Sciences, 112, 15078–15083.CrossRef

Chetty, R., Stepner, M., Abraham, S., Lin, S., Scuderi, B., Turner, N., . . . Cutler, D. (2016). The association between income and life expectancy in the United States, 2001–2014. JAMA, 315, 1750–1766.

Cheung, S. L. K., Robine, J.-M., Tu, E. J.-C., & Caselli, G. (2005). Three dimensions of the survival curve: Horizontalization, verticalization, and longevity extension. Demography, 42, 243–258.CrossRef

Davey Smith, G., Bartley, M., & Blane, D. (1990). The Black report on socioeconomic inequalities in health 10 years on. BMJ, 301, 373–377. https://doi.org/10.1136/bmj.301.6748.373 CrossRef

Davey Smith, G., Blane, D., & Bartley, M. (1994). Explanations for socio-economic differentials in mortality. European Journal of Public Health, 4, 131–144.CrossRef

Davey Smith, G., Hart, C., Hole, D., MacKinnon, P., Gillis, C., Watt, G., . . . Hawthorne, V. (1998). Education and occupational social class: Which is the more important indicator of mortality risk? Journal of Epidemiology and Community Health, 52, 153–160.

Deboosere, P., Gadeyne, S., & Van Oyen, H. (2009). The 1991–2004 evolution in life expectancy by educational level in belgium based on linked census and population register data. European Journal of Population, 25, 175–196.CrossRef

Duleep, H. O. (1989). Measuring socioeconomic mortality differentials over time. Demography, 26, 345–351.CrossRef

Edwards, R. D. (2013). The cost of uncertain life span. Journal of Population Economics, 26, 1485–1522.CrossRef

Edwards, R. D., & Tuljapurkar, S. (2005). Inequality in life spans and a new perspective on mortality convergence across industrialized countries. Population and Development Review, 31, 645–674.CrossRef

Elo, I. T., & Preston, S. H. (1996). Educational differentials in mortality: United States, 1979–1985. Social Science & Medicine, 42, 47–57.CrossRef

Engelman, M., Canudas-Romo, V., & Agree, E. M. (2010). The implications of increased survivorship for mortality variation in aging populations. Population and Development Review, 36, 511–539.CrossRef

Esnaola, S., Aldasoro, E., Ruiz, R., Audicana, C., Pérez, Y., & Calvo, M. (2006). Desigualdades socioeconómicas en la mortalidad en la Comunidad Autónoma del País Vasco [Socioeconomic inequalities in mortality in the Basque Country (Spain)]. Gaceta Sanitaria, 20, 16–24.CrossRef

Esteve, A., Spijker, J., Riffe, T., & García, J. (2012). Spousal and parental roles among female student populations in 55 low-and middle-income countries. Vienna Yearbook of Population Research, 10, 77–94.CrossRef

Feldman, J. J., Makuc, D. M., Kleinman, J. C., & Cornoni-Huntley, J. (1989). National trends in educational differentials in mortality. American Journal of Epidemiology, 129, 919–933.CrossRef

Fries, J. F. (1980). Aging, natural death, and the compression of morbidity. New England Journal of Medicine, 303, 130–135.CrossRef

Gillespie, D. O., Trotter, M. V., & Tuljapurkar, S. D. (2014). Divergence in age patterns of mortality change drives international divergence in lifespan inequality. Demography, 51, 1003–1017.CrossRef

Hendi, A. S. (2017). Trends in education-specific life expectancy, data quality, and shifting education distributions: A note on recent research. Demography, 54, 1203–1213.CrossRef

Huisman, M., Kunst, A. E., Andersen, O., Bopp, M., Borgan, J.-K., Borrell, C.,... Donkin, A. (2004). Socioeconomic inequalities in mortality among elderly people in 11 European populations. Journal of Epidemiology and Community Health, 58, 468–475.

Huisman, M., Kunst, A. E., Bopp, M., Borgan, J.-K., Borrell, C., Costa, G.,... Marinacci, C. (2005a). Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight western European populations. Lancet, 365, 493–500.

Huisman, M., Kunst, A. E., & Mackenbach, J. P. (2005b). Educational inequalities in smoking among men and women aged 16 years and older in 11 European countries. Tobacco Control, 14, 106–113.CrossRef

Hummer, R. A., & Lariscy, J. T. (2011). Educational attainment and adult mortality. In R. G. Rogers & E. M. Crimmins (Eds.), International handbook of adult mortality (pp. 241–261). Dordrecht, the Netherlands: Springer.CrossRef

INE. (2016). Estadística de defunciones. Asignación de nivel educativo a ficheros de defunciones de 2015. Método de obtención y advertencias a usuarios [Death statistics. Assignment of educational level to the 2015 death files. Obtaining method and warnings to users]. Madrid, Spain: INE (Instituto Nacional de Estadistica). Retrieved from http://www.ine.es/metodologia/t20/t2030306_niveduc.pdf

KC, S., & Lentzner, H. (2010). The effect of education on adult mortality and disability: A global perspective. Vienna Yearbook of Population Research, 8, 201–235.CrossRef

Kitagawa, E. M., & Hauser, P. M. (1973). Differential mortality in the United States: A study in socioeconomic epidemiology. Cambridge, MA: Harvard University Press.CrossRef

Kulhánová, I., Bacigalupe, A., Eikemo, T. A., Borrell, C., Regidor, E., Esnaola, S., & Mackenbach, J. P. (2014). Why does Spain have smaller inequalities in mortality? An exploration of potential explanations. European Journal of Public Health, 24, 370–377.CrossRef

Kunst, A. E. (1997). Cross-national comparisons of socio-economic differences in mortality (Doctoral Dissertation). University Medical Center, Erasmus University Rotterdam, Rotterdam, the Netherlands.

Kunst, A. E., Bos, V., Andersen, O., Cardano, M., Costa, G., Harding, S., . . . Reid, A. (2004). Monitoring of trends in socioeconomic inequalities in mortality: Experiences from a European project. Demographic Research, 2(article 9), 229–254. https://doi.org/10.4054/DemRes.2004.S2.9

Luy, M. (2012). Estimating mortality differences in developed countries from survey information on maternal and paternal orphanhood. Demography, 49, 607–627.CrossRef

Luy, M., Di Giulio, P., & Caselli, G. (2011). Differences in life expectancy by education and occupation in Italy, 1980–94: Indirect estimates from maternal and paternal orphanhood. Population Studies, 65, 137–155.CrossRef

Mackenbach, J. P. (2012). The persistence of health inequalities in modern welfare states: The explanation of a paradox. Social Science & Medicine, 75, 761–769.CrossRef

Mackenbach, J. P., Bos, V., Andersen, O., Cardano, M., Costa, G., Harding, S., . . . Kunst, A. (2003). Widening socioeconomic inequalities in mortality in six Western European countries. International Journal of Epidemiology, 32, 830–837.

Mackenbach, J. P., Kulhánová, I., Artnik, B., Bopp, M., Borrell, C., Clemens, T.,... Lundberg, O. (2016). Changes in mortality inequalities over two decades: Register based study of European countries. BMJ, 353, i1732. https://doi.org/10.1136/bmj.i1732

Mackenbach, J. P., Stirbu, I., Roskam, A. J., Schaap, M. M., Menvielle, G., Leinsalu, M., & Kunst, A. E. (2008). Socioeconomic inequalities in health in 22 European countries. New England Journal of Medicine, 358, 2468–2481.CrossRef

Majer, I. M., Nusselder, W., Mackenbach, J., & Kunst, A. (2011). Socioeconomic inequalities in life and health expectancies around official retirement age in 10 Western-European countries. Journal of Epidemiology and Community Health, 65, 972–979.CrossRef

Marmot, M., Allen, J., Bell, R., & Goldblatt, P. (2012). Building of the global movement for health equity: From Santiago to Rio and beyond. Lancet, 379, 181–188.CrossRef

Marmot, M. G., & McDowall, M. E. (1986). Mortality decline and widening social inequalities. Lancet, 328, 274–276.CrossRef

Marmot, M. G., & Shipley, M. J. (1996). Do socioeconomic differences in mortality persist after retirement? 25 year follow up of civil servants from the first Whitehall study. BMJ, 313, 1177–1180.CrossRef

Masquelier, B. (2013). Adult mortality from sibling survival data: A reappraisal of selection biases. Demography, 50, 207–228.CrossRef

Molla, M. T., Madans, J. H., & Wagener, D. K. (2004). Differentials in adult mortality and activity limitation by years of education in the United States at the end of the 1990s. Population and Development Review, 30, 625–646.CrossRef

Mookherjee, D., & Shorrocks, A. (1982). A decomposition analysis of the trend in UK income inequality. Economic Journal, 92, 886–902.CrossRef

Murtin, F., Mackenbach, J., Jasilionis, D., & d’Ercole, M. M. (2017). Inequalities in longevity by education in OECD countries (1815–2031). Paris, France: OECD. Retrieved from https://doi.org/10.1787/6b64d9cf-en

Muszyńska, M., & Janssen, F. (2016). The concept of the equivalent length of life for quantifying differences in age-at-death distributions across countries. Genus, 72(1), 6. https://doi.org/10.1186/s41118-016-0011-1 CrossRef

Nau, C., & Firebaugh, G. (2012). A new method for determining why length of life is more unequal in some populations than in others. Demography, 49, 1207–1230.CrossRef

Palloni, A., Massagli, M., & Marcotte, J. (1984). Estimating adult mortality with maternal orphanhood data: Analysis of sensitivity of the techniques. Population Studies, 38, 255–279.CrossRef

Pappas, G., Queen, S., Hadden, W., & Fisher, G. (1993). The increasing disparity in mortality between socioeconomic groups in the United States, 1960 and 1986. New England Journal of Medicine, 329, 103–109.CrossRef

Permanyer, I., García, J., & Esteve, A. (2013). The impact of educational homogamy on isolated illiteracy levels. Demography, 50, 2209–2225.CrossRef

Pincus, T., & Callahan, L. F. (1994). Associations of low formal education level and poor health status: Behavioral, in addition to demographic and medical, explanations? Journal of Clinical Epidemiology, 47, 355–361.CrossRef

Puigpinós, R., Borrell, C., Antunes, J. L. F., Azlor, E., Pasarín, M. I., Serral, G., . . . Fernández, E. (2009). Trends in socioeconomic inequalities in cancer mortality in Barcelona: 1992–2003. BMC Public Health, 9, 35. https://doi.org/10.1186/1471-2458-9-35

Regidor, E., Gutiérrez-Fisac, J. L., & Rodríguez, C. (1995). Increased socioeconomic differences in mortality in eight Spanish provinces. Social Science & Medicine, 41, 801–807.CrossRef

Rentería, E., & Spijker, J. (2017, April). Half a century of education inequalities in adult mortality in Spain: An approach using survey data on parents’ survivorship. Poster presented at the Annual Meeting of the Population Association of America, Chicago, IL.

Rentería, E., & Turra, C. M. (2009, September–October). Measuring educational differences in mortality among women living in highly unequal societies with defective data: The case of Brazil. Paper presented at the International Population Conference IUSSP, Marrakesh, Morocco.

Reques, L., Giráldez-García, C., Miqueleiz, E., Belza, M. J., & Regidor, E. (2014). Educational differences in mortality and the relative importance of different causes of death: A 7-year follow-up study of Spanish adults. Journal of Epidemiology and Community Health, 68, 1151–1160.CrossRef

Rogot, E., Sorlie, P. D., & Johnson, N. J. (1992). Life expectancy by employment status, income, and education in the National Longitudinal Mortality Study. Public Health Reports, 107, 457–461.

Ross, C. E., & Wu, C.-l. (1995). The links between education and health. American Sociological Review, 60, 719–745.CrossRef

Sasson, I. (2016a). Diverging trends in cause-specific mortality and life years lost by educational attainment: Evidence from United States Vital Statistics Data, 1990–2010. PLoS One, 11, e0163412. https://doi.org/10.1371/journal.pone.0163412 CrossRef

Sasson, I. (2016b). Trends in life expectancy and lifespan variation by educational attainment: United States, 1990–2010. Demography, 53, 269–293.CrossRef

Sasson, I. (2017). Reply to Trends in education-specific life expectancy, data quality, and shifting education distributions: A note on recent research. Demography, 54, 1215–1219.CrossRef

Schiaffino, A., Fernandez, E., Borrell, C., Salto, E., Garcia, M., & Borras, J. M. (2003). Gender and educational differences in smoking initiation rates in Spain from 1948 to 1992. European Journal of Public Health, 13, 56–60.CrossRef

Seligman, B., Greenberg, G., & Tuljapurkar, S. (2016). Equity and length of lifespan are not the same. Proceedings of the National Academy of Sciences, 113, 8420–8423.CrossRef

Shkolnikov, V. M., Andreev, E. M., & Begun, A. (2003). Gini coefficient as a life table function: Computation from discrete data, decomposition of differences and empirical examples. Demographic Research, 8(article 11), 305–358. https://doi.org/10.4054/DemRes.2003.8.11 CrossRef

Smith, J. P. (2004). Unraveling the SES: Health connection. Population and Development Review, 30, 108–132.CrossRef

Smits, J., & Monden, C. (2009). Length of life inequality around the globe. Social Science & Medicine, 68, 1114–1123.CrossRef

Spijker, J. (2004). Socioeconomic determinants of mortality differentials in Europe (Unpublished Doctoral Disertation). Department of Spatial Sciences, University of Groningen, Groningen, the Netherlands.

Steingrímsdóttir, Ó. A., Næss, Ø., Moe, J. O., Grøholt, E.-K., Thelle, D. S., Strand, B. H., & Bævre, K. (2012). Trends in life expectancy by education in Norway 1961–2009. European Journal of Epidemiology, 27, 163–171.CrossRef

Tarkiainen, L., Martikainen, P., Laaksonen, M., & Valkonen, T. (2012). Trends in life expectancy by income from 1988 to 2007: Decomposition by age and cause of death. Journal of Epidemiology and Community Health, 66, 573–578.CrossRef

Timonin, S., Shkolnikov, V. M., Jasilionis, D., Grigoriev, P., Jdanov, D. A., & Leon, D. A. (2016). Disparities in length of life across developed countries: Measuring and decomposing changes over time within and between country groups. Population Health Metrics, 14, 29. https://doi.org/10.1186/s12963-016-0094-0 CrossRef

United Nations. (1983). Manual X: Indirect techniques for demographic estimations. New York, NY: United Nations Publications.

Van Raalte, A. A., & Caswell, H. (2013). Perturbation analysis of indices of lifespan variability. Demography, 50, 1615–1640.CrossRef

Van Raalte, A. A., Kunst, A. E., Lundberg, O., Leinsalu, M., Martikainen, P., Artnik, B.,... Mackenbach, J. P. (2012). The contribution of educational inequalities to lifespan variation. Population Health Metrics, 10, 3. https://doi.org/10.1186/1478-7954-10-3 CrossRef

Van Raalte, A. A., Martikainen, P., & Myrskylä, M. (2014). Lifespan variation by occupational class: Compression or stagnation over time? Demography, 51, 73–95.CrossRef

Vaupel, J. W., Zhang, Z., & van Raalte, A. A. (2011). Life expectancy and disparity: An international comparison of life table data. BMJ Open, 1, e000128. https://doi.org/10.1136/bmjopen-2011-000128 CrossRef

Wardle, J., & Steptoe, A. (2003). Socioeconomic differences in attitudes and beliefs about healthy lifestyles. Journal of Epidemiology & Community Health, 57, 440–443.CrossRef

WHO. (2000). The world health report 2000—Health systems: Improving performance. Geneva, Switzerland: World Health Organization.

Wilmoth, J. R., & Horiuchi, S. (1999). Rectangularization revisited: Variability of age at death within human populations. Demography, 36, 475–495.CrossRef

Winkleby, M. A., Jatulis, D. E., Frank, E., & Fortmann, S. P. (1992). Socioeconomic status and health: How education, income, and occupation contribute to risk factors for cardiovascular disease. American Journal of Public Health, 82, 816–820.CrossRef

Wrycza, T. F., Missov, T. I., & Baudisch, A. (2015). Quantifying the shape of aging. PLoS One, 10, e0119163. https://doi.org/10.1371/journal.pone.0119163 CrossRef

Zarulli, V., Jasilionis, D., & Jdanov, D. A. (2012). Changes in educational differentials in old-age mortality in Finland and Sweden between 1971–1975 and 1996–2000. Demographic Research, 26(article 19), 489–510. https://doi.org/10.4054/DemRes.2012.26.19 CrossRef

Titel: Longevity and Lifespan Variation by Educational Attainment in Spain: 1960–2015
verfasst von: Iñaki Permanyer
Jeroen Spijker
Amand Blanes
Elisenda Renteria
Publikationsdatum: 15.10.2018
Verlag: Springer US
Erschienen in: Demography / Ausgabe 6/2018
Print ISSN: 0070-3370
Elektronische ISSN: 1533-7790
DOI: https://doi.org/10.1007/s13524-018-0718-z

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