Abstract
This paper analyzes the quality of subjective assessments related to childhood circumstances when provided by old-age individuals. Early life events are important for social scientists to predict individual outcomes later in life and because of data restrictions, retrospective assessments are often used. Nevertheless, there is widespread skepticism on the ability of old-age respondents to recall with good accuracy events occurred many years ago. Using data from the survey of health, aging and retirement in Europe (SHARE), we assess the internal and external consistency of some measures of childhood health and socio-economic status. Our study suggests that overall respondents seem to remember fairly well their health status and their living conditions between age 0–15. Applying a cross-country comparison (13 European countries), we analyse within survey responses with external historical data (e.g., GDP per capita in period 1926–1956) at a country and cohort level. Our results should mitigate some of the doubts on retrospective data collection and promote their use for research purposes.
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Notes
Self-reported health is measured on a 1–5 scale with 1 for excellent health and 5 for poor health and we use data from SHARELIFE (2008). For illustration purposes we recode it and define good health as “very good or excellent” and bad health as “good, fair or poor”.
An alternative explanation might be that the effect of memory disappears because memory is a function of age and education. However, as aforementioned, this variable has a very large support and we found evidence of substantial variation in the memory test also within age and education groups. In particular, we regressed the variable memory on a cubic polynomial in age, education and other baseline controls including country fixed effects (results are available upon request). As expected, we found that this large set of controls is able to explain less than 30 % of the total variation in the memory test.
The same test has been performed using the whole panel (respondents present in wave 1, 2 and 3). However, we decided to drop it from the analysis since selective attrition might influence the goodness of the test. In any case the Wald test for the equality of coefficients between W1–W2 and W1–W3 lead to the rejection of the null hypothesis for women, while the evidence is mixed for men. Results are available upon request.
References
Auriat, N. (1991). Who forgets? An analysis of memory effects in a retrospective survey on migration history. European Journal of Population, 7, 311–342.
Almond, D., & Currie, J. (2011). Human capital development before age five. Handbook of Labor Economics, 4(B), 1315–1486.
Almond, D., & Mazumder, B. (2005). The 1918 influenza pandemic and subsequent health outcomes: An analysis of SIPP data. American Economic Review, 95(2), 258–262.
Barker, D. J. (1998). In utero programming of chronic diseases. Clinical Science, 95, 115–128.
Barro, R., & Lee, J. W. (2013). A new data set of educational attainment in the world, 1950–2010. Journal of Development Economics, forthcoming. doi:10.1016/j.jdeveco.2012.10.001
Beckett, M., Da Vanzo, J., Sastry, N., Panis, C., & Peterson, C. (2001). The quality of retrospective data: An examination of long-term recall in a developing country. Journal of Human Resources, 36(3), 593–625.
Belli, R. (1998). The structure of autobiographical memory and the history calendar: Potential improvements in the quality of retrospective reports in surveys. Memory, 6(4), 383–407.
Belli, R. (2005) The integration of a computer assisted interviewing event history calendar in the panel study of income dynamics. PSID Technical Series Paper #05-01.
Berney, L., & Blane, D. (1998). Collecting retrospective data: Accuracy of recall after 50 years judged against historical records. Social Science and Medicine, 45(10), 1519–1525.
Berney, L., & Blane, D. (2003). The lifegrid method of collecting retrospective information from people at older ages. Research Policy and Planning, 21(2), 13–22.
Blackwell, D., Hayward, M. D., & Crimmins, E. M. (2001). Does childhood health affect chronic morbidity later in life? Social Science and Medicine, 52(8), 1269–1284.
Börsch-Supan, A., & Jürges, H. (2005). The survey of health, aging, and retirement in Europe. Methodology. Mannheim: Mannheim Research Institute for the Economics of Aging (MEA).
Börsch-Supan, A., & Schröder, M. (2011). Retrospective data collection in the survey of health, ageing and retirement in Europe. SHARELIFE methodology. In M. Schröder (Ed.), Retrospective data collection in the survey of health, ageing and retirement in Europe (pp. 5–10). Mannheim: Mannheim Research Institute for the Economics of Aging (MEA).
Bozzoli, C., Deaton, A., & Quintana-Domeneque, C. (2009). Adult height and childhood disease. Demography, 46(49), 647–669.
Bound, J., Brown, C., & Mathiowetz, N. (2001). Measurement error in survey data. Handbook of Econometrics, 5(59), 3707–3833.
Case, A., Fertig, A., & Paxson, C. (2005). The lasting impact of childhood health and circumstance. Journal of Health Economics, 24(2), 365–389.
Case, A., & Paxson, C. (2009). Early life health and cognitive function in old age. American Economic Review Papers and Proceedings, 99(2), 104–109.
Currie, J. (2009). Healthy, wealthy, and wise? Socioeconomic status, poor health in childhood, and human capital development. Journal of Economic Literature, 47(1), 87–122.
De Luca, G., & Peracchi, F. (2005). Survey participation in the first wave of SHARE. In A. Börsch-Supan & H. Jürges (Eds.), The survey of health, aging, and retirement in Europe—methodology. Mannheim: Mannheim Research Institute for the Economics of Aging (MEA).
De Luca, G., & Peracchi, F. (2012). Estimating Engel curves under unit and item nonresponse. Journal of Applied Econometrics, 27(7), 1076–1099.
De Luca, G., & Rossetti, C. (2013). Weights. In SHARE release guide 1.1.1, wave 4.
del Arco Blanco, M. A. (2010). Hunger and the consolidation of the francoist regime (1939–1951). European History Quarterly, 40(3), 458–483.
Dex, S. (1995). The reliability of recall data: A literature review. Bulletin de Méthodologie Sociologique, 49, 58–89.
Francesconi, M. (2005). An evaluation of the childhood family structure measures from the sixth wave of the British household panel survey. Journal of the Royal Statistical Society—Series A, 168, 539–566.
Garrouste, C., & Paccagnella, O. (2010). Data quality: Three examples of consistency across SHARE and SHARELIFE. Mannheim: Mannheim Research Institute for the Economics of Aging (MEA).
Gluckman, P., & Hanson, M. (2005). The developmental origins of adult disease. Maternal and Child Nutrition, 1(3), 130–141.
Haas, S. (2007). The long-term effects of poor childhood health: An assessment and application of retrospective reports. Demography, 44(1), 113–135.
Haas, S., & Bishop, N. (2010). What do retrospective subjective reports of childhood health capture? Evidence from the WLS and the PSID. Research on Aging, 32(6), 698–714.
Havari, E., & Peracchi, F. (2012). Childhood circumstances and adult outcomes: Evidence from SHARELIFE. Working paper 11–15, Einaudi Institute for Economics and Finance (EIEF), Rome.
Jürges, H. (2007). Unemployment, life satisfaction and retrospective error. Journal of the Royal Statistical Society—Series A, 170, 43–61.
Kesternich, I., Siflinger, B., Smith, J. P., & Winter, J. K. (2013). Individual behavior as a pathway between early-life shocks and adult health. Economic Journal (forthcoming)
Krall, E. A., Valadian, I., Dwyer, J. T., & Gardner, J. (1988). Recall of childhood diseases. Journal of Clinical Epidemiology, 41, 1059–1064.
Maddison, A. (2010). Statistics on world population, GDP and per capita GDP, 1–2008 AD. Retrieved April 17, 2013, from http://www.ggdc.net/MADDISON/Historical_Statistics/horizontal-file_02-2010.xls.
Mazzonna, F. (2014). The long lasting effect of family background: A European cross-country comparison. Economics of Education Review, 40, 25–42.
Mazzonna, F., & Peracchi, F. (2012). Ageing, cognitive abilities and retirement. European Economic Review, 56(4), 691–710.
McArdle, J. J., Smith, J. P., & Willis, R. (2011). Cognition and economic outcomes in the health and retirement survey. In D. Wise (Ed.), Explorations in the economics of aging. Chicago: University of Chicago Press.
Pampel, F., & Pillai, V. (1986). Patterns and determinants of infant mortality in developed nations, 1950–1975. Demography, 23, 525–542.
Raphael, K. (1987). Recall bias: A proposal for assessment and control. International Journal of Epidemiology, 16(2), 167–170.
Schröder, M. (2011). Retrospective data collection in the survey of health, ageing and retirement in Europe. Mannheim: Mannheim Research Institute for the Economics of Aging (MEA).
Schröder, M., & Börsch-Supan, A. (2008). Retrospective data collection in Europe. Mannheim Research Institute for the Economics of Aging (MEA), Discussion paper no. 172–2008.
Smith, J. (2009a). Reconstructing childhood health histories. Demography, 46(2), 387–403.
Smith, J. (2009b). The impact of childhood health on adult labor market outcomes. The Review of Economics and Statistics, 91(3), 478–489.
Smith, J., & Thomas, D. (2003). Remembrances of things past: Test–retest reliability of retrospective migration histories. Journal of the Royal Statistical Society—Series A, 166, 23–49.
van den Berg, G. J., Doblhammer-Reiter, G., & Christensen, K. (2009). Exogenous determinants of early-life conditions, and mortality later in life. Social Science and Medicine, 68(9), 1591–1598.
van den Berg, G. J., Pinger, P. R., & Schoch, J. (2012). Instrumental variable estimation of the causal effect of hunger early in life on health later in life. doi:10.1111/ecoj.12250.
Acknowledgments
This paper uses data from SHARE release 2.3.1. SHARE data collection in 2004–2007 was primarily funded by the European Commission through its 5th and 6th framework programmes (project numbers QLK6-CT-2001- 00360; RII-CT- 2006-062193; CIT5-CT-2005-028857). Additional funding by the US National Institute on Aging (Grant No. U01 AG09740-13S2; P01 AG005842; P01 AG08291; P30 AG12815; Y1-AG-4553-01; OGHA 04-064; R21 AG025169) as well as by various national sources is gratefully acknowledged (see http://www.share-project.org for a full list of funding institutions).
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Havari, E., Mazzonna, F. Can We Trust Older People’s Statements on Their Childhood Circumstances? Evidence from SHARELIFE. Eur J Population 31, 233–257 (2015). https://doi.org/10.1007/s10680-014-9332-y
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DOI: https://doi.org/10.1007/s10680-014-9332-y