IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v47y2022i23.html

The bootstrap approach to the multistate life table method using Stata: Does accounting for complex survey designs matter?

Author

Listed:
  • Nader Mehri

    (University of North Carolina at Chapel Hill)

Abstract

Objective: I aim to develop a Stata program that estimates multistate life table quantities and their confidence intervals while controlling for covariates of interest, as well as adjusting for complex survey designs. Using the Health and Retirement Study (HRS) (2000–2016), I use the new program to estimate US females’ total, healthy, and unhealthy life expectancies and their intervals by race/ethnicity at age 52 (the youngest age in the sample), while adjusting for education. Methods: Using the nonparametric bootstrap technique (with replacement), the present study offers and validates an age-inhomogeneous first-order Markov chain multistate life table program. The current proposed Stata program is the maximum likelihood version of Lynch and Brown’s Bayesian approach to the multistate life table method, which has been developed in R. I use the estimates from the Bayesian approach to validate the estimates from the unweighted bootstrap approach. I also account for the HRS complex survey design using the HRS baseline survey design indicators (clustering, strata, and sample weights). I utilize the estimates from the unweighted and weighted bootstrap models to evaluate the extent to which ignoring the HRS complex survey design alters the estimates. Results: The health expectancy estimates obtained from the unweighted bootstrap approach are consistent with estimates from the Bayesian approach, which ignores complex survey designs. This indicates that the bootstrap approach developed in the current paper is valid. Also, the results show that ignoring the HRS complex survey design does not meaningfully alter the estimates. Contribution: The paper contributes to the multistate life table methods literature by providing a flexible, valid, and user-friendly program to estimate multistate life table quantities and their variabilities in Stata.

Suggested Citation

  • Nader Mehri, 2022. "The bootstrap approach to the multistate life table method using Stata: Does accounting for complex survey designs matter?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(23), pages 695-726.
    • Handle: RePEc:dem:demres:v:47:y:2022:i:23
    DOI: 10.4054/DemRes.2022.47.23
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol47/23/47-23.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4054/DemRes.2022.47.23?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
    ---><---

    References listed on IDEAS

    as
    1. Jeronimo Oliveira Muniz, 2020. "Multistate life tables using Stata," Stata Journal, StataCorp LLC, vol. 20(3), pages 721-745, September.
    2. Stanislav Kolenikov, 2010. "Resampling variance estimation for complex survey data," Stata Journal, StataCorp LLC, vol. 10(2), pages 165-199, June.
    3. Scott Lynch & J. Brown, 2010. "Obtaining multistate life table distributions for highly refined subpopulations from cross-sectional data: A bayesian extension of sullivan’s method," Demography, Springer;Population Association of America (PAA), vol. 47(4), pages 1053-1077, November.
    4. Anthony R Bardo & Scott M Lynch & Shevaun Neupert, 2021. "Cognitively Intact and Happy Life Expectancy in the United States," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(2), pages 242-251.
    5. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    6. Jessica S West & Scott M Lynch & Deborah S Carr, 2021. "Demographic and Socioeconomic Disparities in Life Expectancy With Hearing Impairment in the United States [Prevalence of hearing loss and differences by demographic characteristics among US adults: Data from the National Health and Nutrition Exami," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(5), pages 944-955.
    7. Liming Cai & Mark D. Hayward & Yasuhiko Saito & James Lubitz & Aaron Hagedorn & Eileen Crimmins, 2010. "Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(6), pages 129-158.
    Full references (including those not matched with items on IDEAS)

    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. Jennifer Van Hook & Claire Altman, 2013. "Using Discrete-Time Event History Fertility Models to Simulate Total Fertility Rates and Other Fertility Measures," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(4), pages 585-610, August.
    2. Jerônimo Muniz & Bernardo Lanza Queiroz & Aliya Saperstein, 2024. "Racial classification as a multistate process," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 50(17), pages 457-472.
    3. Yunxiang Wan & Leiwen Jiang, 2024. "Socioeconomic Differences in Happy Life Expectancy among Older Adults in China," Journal of Happiness Studies, Springer, vol. 25(7), pages 1-19, October.
    4. Anthony R. Bardo & Jason L. Cummings, 2023. "Life, Longevity, and the Pursuit of Happiness: The Role of Disability in Shaping Racial and Sex Disparities in Living a Long and Happy Life," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(4), pages 1-26, August.
    5. Sims, Katharine R.E. & Alix-Garcia, Jennifer M., 2017. "Parks versus PES: Evaluating direct and incentive-based land conservation in Mexico," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 8-28.
    6. Austin L. Wright, 2016. "Economic Shocks and Rebel," HiCN Working Papers 232, Households in Conflict Network.
    7. Marek Golinski & Dorota Baczkiewicz, 2021. "Analysis of Factors Influencing the Teamwork Competences of Managers Starting their Professional Career," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 64-76.
    8. repec:osf:osfxxx:sw6kd_v1 is not listed on IDEAS
    9. Robert E. Hall & Sam Schulhofer-Wohl, 2018. "Measuring Job-Finding Rates and Matching Efficiency with Heterogeneous Job-Seekers," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 1-32, January.
    10. Sharpe, Jamie & Bollinger, Christopher R., 2020. "Who competes with whom? Using occupation characteristics to estimate the impact of immigration on native wages," Labour Economics, Elsevier, vol. 66(C).
    11. Zachary Zimmer & Yasuhiko Saito & Olga Theou & Clove Haviva & Kenneth Rockwood, 2021. "Education, wealth, and duration of life expected in various degrees of frailty," European Journal of Ageing, Springer, vol. 18(3), pages 393-404, September.
    12. Terence C. Cheng & Pravin K. Trivedi, 2015. "Attrition Bias in Panel Data: A Sheep in Wolf's Clothing? A Case Study Based on the Mabel Survey," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1101-1117, September.
    13. Glei, Dana A. & Weinstein, Maxine, 2023. "Economic distress, obesity, and the rise in pain," Social Science & Medicine, Elsevier, vol. 339(C).
    14. John Forth & Alex Bryson & Van Phan & Felix Ritchie & Carl Singleton & Lucy Stokes & Damian Whittard, 2026. "The Representativeness of the Annual Survey of Hours and Earnings and Its Implications for UK Wage Policy," British Journal of Industrial Relations, London School of Economics, vol. 64(1), pages 21-36, March.
    15. Dimitrios Nikolaou & Laura M. Crispin, 2022. "Estimating the effects of sports and physical exercise on bullying," Contemporary Economic Policy, Western Economic Association International, vol. 40(2), pages 283-303, April.
    16. Eliasson, Kent & Hansson, Pär & Lindvert, Markus, 2018. "Decomposing value chains within Swedish multinationals," Working Papers 2018:9, Örebro University, School of Business.
    17. Sebastian Barfort & Nikolaj Harmon & Frederik Hjorth & Asmus Leth Olsen, 2015. "Dishonesty and Selection into Public Service in Denmark: Who Runs the World’s Least Corrupt Public Sector?," Discussion Papers 15-12, University of Copenhagen. Department of Economics.
    18. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R., 2022. "Adoption of partially automated vehicle technology features and impacts on vehicle miles of travel (VMT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 156-179.
    19. Arnaud Chevalier & Olivier Marie, 2013. "Economic Uncertainty, Parental Selection, and the Criminal Activity of the "Children of the Wall"," SOEPpapers on Multidisciplinary Panel Data Research 605, DIW Berlin, The German Socio-Economic Panel (SOEP).
    20. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, IZA Network @ LISER.
    21. Silver Mick, 2022. "Econometric Issues in Hedonic Property Price Indices: Some Practical Help," Journal of Official Statistics, Sciendo, vol. 38(1), pages 153-186, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    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:dem:demres:v:47:y:2022:i:23. 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: Editorial Office (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    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.