IDEAS home Printed from https://ideas.repec.org/a/eee/ehbiol/v35y2019icp18-31.html
   My bibliography  Save this article

Twins are more different than commonly believed, but made less different by compensating behaviors

Author

Listed:
  • Choi, Jin-young
  • Lee, Myoung-jae

Abstract

Twin studies are popular, because twins are believed to be the same/similar in genes and environmental exposures. It is well documented, however, that the firstborns are healthier at birth. We use the entire U.S. record of twin births during 1995–2000 to show that the survival duration parameters differ between twins depending on the birth order. We also find that wiser (i.e., older or educated) or married (i.e., resource-richer) mothers take more care of the weaker, which is a “compensating” behavior reducing the twin difference, as opposed to “reinforcing (the twin difference)” behavior. The systematic survival pattern difference and the mother's intervention against nature send cautions to twin studies that regard twins homogeneous to interpret their findings accordingly. Since the survival duration in our data is 97% right-censored in one year, we devise a quantile-based ‘fixed-effect’ semiparametric estimator that can handle heavy censoring, which is our methodological contribution.

Suggested Citation

  • Choi, Jin-young & Lee, Myoung-jae, 2019. "Twins are more different than commonly believed, but made less different by compensating behaviors," Economics & Human Biology, Elsevier, vol. 35(C), pages 18-31.
  • Handle: RePEc:eee:ehbiol:v:35:y:2019:i:c:p:18-31
    DOI: 10.1016/j.ehb.2019.03.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1570677X18302946
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ehb.2019.03.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Douglas Almond & Bhashkar Mazumder, 2013. "Fetal Origins and Parental Responses," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 37-56, May.
    2. Myoung‐jae Lee & Fali Huang, 2012. "Finding dynamic treatment effects under anticipation: the effects of spanking on behaviour," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 535-567, April.
    3. Honore, Bo E. & Kyriazidou, Ekaterini & Udry, Christopher, 1997. "Estimation of Type 3 Tobit models using symmetric trimming and pairwise comparisons," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 107-128.
    4. Jessica Leight & Elaine M. Liu, 2020. "Maternal Education, Parental Investment, and Noncognitive Characteristics in Rural China," Economic Development and Cultural Change, University of Chicago Press, vol. 69(1), pages 213-251.
    5. Manski, Charles F, 1987. "Semiparametric Analysis of Random Effects Linear Models from Binary Panel Data," Econometrica, Econometric Society, vol. 55(2), pages 357-362, March.
    6. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2007. "From the Cradle to the Labor Market? The Effect of Birth Weight on Adult Outcomes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 409-439.
    7. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    8. Abrevaya, Jason & Dahl, Christian M, 2008. "The Effects of Birth Inputs on Birthweight," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 379-397.
    9. Ekaterini Kyriazidou, 1997. "Estimation of a Panel Data Sample Selection Model," Econometrica, Econometric Society, vol. 65(6), pages 1335-1364, November.
    10. Honore, Bo & Khan, Shakeeb & Powell, James L., 2002. "Quantile regression under random censoring," Journal of Econometrics, Elsevier, vol. 109(1), pages 67-105, July.
    11. Ashlesha Datar & M. Kilburn & David Loughran, 2010. "Endowments and parental investments in infancy and early childhood," Demography, Springer;Population Association of America (PAA), vol. 47(1), pages 145-162, February.
    12. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    13. Amin, Vikesh & Dunn, Paul & Spector, Tim, 2018. "Does education attenuate the genetic risk of obesity? Evidence from U.K. Twins," Economics & Human Biology, Elsevier, vol. 31(C), pages 200-208.
    14. Chen, Songnian & Khan, Shakeeb, 2000. "Estimating censored regression models in the presence of nonparametric multiplicative heteroskedasticity," Journal of Econometrics, Elsevier, vol. 98(2), pages 283-316, October.
    15. Myoung‐jae Lee, 2000. "Median treatment effect in randomized trials," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(3), pages 595-604.
    16. Honore, Bo E. & Hu, Luojia, 2004. "Estimation of cross sectional and panel data censored regression models with endogeneity," Journal of Econometrics, Elsevier, vol. 122(2), pages 293-316, October.
    17. Myoung‐jae Lee & Unto Häkkinen & Gunnar Rosenqvist, 2007. "Finding the best treatment under heavy censoring and hidden bias," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 133-147, January.
    18. Dorothe Bonjour & Lynn F. Cherkas & Jonathan E. Haskel & Denise D. Hawkes & Tim D. Spector, 2003. "Returns to Education: Evidence from U.K. Twins," American Economic Review, American Economic Association, vol. 93(5), pages 1799-1812, December.
    19. Douglas Almond & Kenneth Y. Chay & David S. Lee, 2005. "The Costs of Low Birth Weight," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 1031-1083.
    20. Lång, Elisabeth & Nystedt, Paul, 2018. "Two by two, inch by inch: Height as an indicator of environmental conditions during childhood and its influence on earnings over the life cycle among twins," Economics & Human Biology, Elsevier, vol. 28(C), pages 53-66.
    21. Miller, Paul W & Mulvey, Charles & Martin, Nick, 1995. "What Do Twins Studies Reveal about the Economic Returns to Education? A Comparison of Australian and U.S. Findings," American Economic Review, American Economic Association, vol. 85(3), pages 586-599, June.
    22. Weiss, Andrew A., 1993. "Some aspects of measurement error in a censored regression model," Journal of Econometrics, Elsevier, vol. 56(1-2), pages 169-188, March.
    23. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    24. Brandon J. Restrepo, 2016. "Parental investment responses to a low birth weight outcome: who compensates and who reinforces?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(4), pages 969-989, October.
    25. Jessica Leight & Elaine M. Liu, 2016. "Maternal Education, Parental Investment and Non-Cognitive Skills in Rural China," NBER Working Papers 22233, National Bureau of Economic Research, Inc.
    26. Yanlin Tang & Huixia Wang & Xuming He & Zhongyi Zhu, 2012. "An informative subset-based estimator for censored quantile regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(4), pages 635-655, December.
    27. Jere R. Behrman & Mark R. Rosenzweig, 2004. "Returns to Birthweight," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 586-601, May.
    28. Newey, Whitney K, 1994. "The Asymptotic Variance of Semiparametric Estimators," Econometrica, Econometric Society, vol. 62(6), pages 1349-1382, November.
    29. Antonio F. Galvao & Carlos Lamarche & Luiz Renato Lima, 2013. "Estimation of Censored Quantile Regression for Panel Data With Fixed Effects," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 1075-1089, September.
    30. Mark E. McGovern, 2019. "How much does birth weight matter for child health in developing countries? Estimates from siblings and twins," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 3-22, January.
    31. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    32. M.‐J. Lee & H. Kim, 1998. "Semiparametric econometric estimators for a truncated regression model: a review with an extension," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 52(2), pages 200-225, June.
    33. Wang, Huixia Judy & Wang, Lan, 2009. "Locally Weighted Censored Quantile Regression," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1117-1128.
    34. Bo Honore & Ekaterini Kyriazidou & J. L. Powell, 2000. "Estimation of tobit-type models with individual specific effects," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 341-366.
    35. Amy Hsin, 2012. "Is Biology Destiny? Birth Weight and Differential Parental Treatment," Demography, Springer;Population Association of America (PAA), vol. 49(4), pages 1385-1405, November.
    36. Chen, Songnian & Khan, Shakeeb, 2001. "Semiparametric Estimation Of A Partially Linear Censored Regression Model," Econometric Theory, Cambridge University Press, vol. 17(3), pages 567-590, June.
    37. Gunnar Isacsson, 2004. "Estimating the economic return to educational levels using data on twins," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 99-119.
    38. Conley, Dalton & Strully, Kate W. & Bennett, Neil G., 2006. "Twin differences in birth weight: The effects of genotype and prenatal environment on neonatal and post-neonatal mortality," Economics & Human Biology, Elsevier, vol. 4(2), pages 151-183, June.
    39. Luojia Hu, 2002. "Estimation of a Censored Dynamic Panel Data Model," Econometrica, Econometric Society, vol. 70(6), pages 2499-2517, November.
    40. Khan, Shakeeb & Powell, James L., 2001. "Two-step estimation of semiparametric censored regression models," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 73-110, July.
    41. Chen, Songnian & Khan, Shakeeb, 2008. "Semiparametric Estimation Of Nonstationary Censored Panel Data Models With Time Varying Factor Loads," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1149-1173, October.
    42. Prashant Bharadwaj & Juan Pedro Eberhard & Christopher A. Neilson, 2018. "Health at Birth, Parental Investments, and Academic Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 36(2), pages 349-394.
    43. repec:ucn:wpaper:10197/317 is not listed on IDEAS
    44. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.
    45. Hong H. & Chernozhukov V., 2002. "Three-Step Censored Quantile Regression and Extramarital Affairs," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 872-882, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brilli, Ylenia & Restrepo, Brandon J., 2020. "Birth weight, neonatal care, and infant mortality: Evidence from macrosomic babies," Economics & Human Biology, Elsevier, vol. 37(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bhalotra, Sonia & Clarke, Damian, 2022. "Analysis of Twins," CAGE Online Working Paper Series 638, Competitive Advantage in the Global Economy (CAGE).
    2. Savelyev, Peter A. & Ward, Benjamin C. & Krueger, Robert F. & McGue, Matt, 2022. "Health endowments, schooling allocation in the family, and longevity: Evidence from US twins," Journal of Health Economics, Elsevier, vol. 81(C).
    3. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    4. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.
    5. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    6. Cassandra Robertson & Rourke O’Brien, 2018. "Health Endowment at Birth and Variation in Intergenerational Economic Mobility: Evidence From U.S. County Birth Cohorts," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 249-269, February.
    7. Petter Lundborg & Anton Nilsson & Dan-Olof Rooth, 2016. "The health-schooling relationship: evidence from Swedish twins," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(4), pages 1191-1215, October.
    8. Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E., 2015. "Quantile regression with censoring and endogeneity," Journal of Econometrics, Elsevier, vol. 186(1), pages 201-221.
    9. Mark E. McGovern, 2019. "How much does birth weight matter for child health in developing countries? Estimates from siblings and twins," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 3-22, January.
    10. Møllegaard, Stine, 2020. "The effect of birth weight on behavioral problems in early adolescence: New evidence from monozygotic twins," Economics & Human Biology, Elsevier, vol. 36(C).
    11. Chen, Songnian, 2018. "Sequential estimation of censored quantile regression models," Journal of Econometrics, Elsevier, vol. 207(1), pages 30-52.
    12. Francisco J. Cabrera-Hernández & Pedro P. Orraca-Romano, 2023. "Inequality in the Household: How Parental Income Matters for the Long-Term Treatment of Healthy and Unhealthy Siblings," Journal of Family and Economic Issues, Springer, vol. 44(3), pages 674-692, September.
    13. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2016. "Identification of panel data models with endogenous censoring," Journal of Econometrics, Elsevier, vol. 194(1), pages 57-75.
    14. Maruyama, Shiko & Heinesen, Eskil, 2020. "Another look at returns to birthweight," Journal of Health Economics, Elsevier, vol. 70(C).
    15. Blundell, Richard & Powell, James L., 2007. "Censored regression quantiles with endogenous regressors," Journal of Econometrics, Elsevier, vol. 141(1), pages 65-83, November.
    16. Marie Baguet & Christelle Dumas, 2019. "How does birth weight affect health and human capital? A short‐ and long‐term evaluation," Health Economics, John Wiley & Sons, Ltd., vol. 28(5), pages 597-617, May.
    17. Fan, Yanqin & Liu, Ruixuan, 2018. "Partial identification and inference in censored quantile regression," Journal of Econometrics, Elsevier, vol. 206(1), pages 1-38.
    18. Lundborg, Petter & Nilsson, Anton & Rooth, Dan-Olof, 2011. "Does Early Life Health Predict Schooling Within Twin Pairs?," IZA Discussion Papers 5803, Institute of Labor Economics (IZA).
    19. Jad Beyhum & Lorenzo Tedesco & Ingrid Van Keilegom, 2022. "Instrumental variable quantile regression under random right censoring," Papers 2209.01429, arXiv.org, revised Feb 2023.
    20. Saavedra, Martin, 2020. "Birth weight and infant health for multiple births," Journal of Health Economics, Elsevier, vol. 69(C).

    More about this item

    Keywords

    Twin study; Birth-order effect; Compensating behavior; Heavy censoring; Quantiles;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ehbiol:v:35:y:2019:i:c:p:18-31. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622964 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.