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Age Preferences For Life-Saving Programs: Using Choice Modeling To Measure The Relative Values Of Statistical Life

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  • ROSALINA PALANCA-TAN

    (Department of Economics, Ateneo de Manila University, 4th Floor, Leong Hall, Loyola Heights, Quezon City, Philippines 1108, Philippines)

Abstract

This study employed the survey-based choice modeling (CM) approach to determine people's age preferences for life-saving programs in Metro Manila, Philippines. Two social welfare models — social welfare as a function of the number of lives saved in each of the age groups (Model 1) and social welfare as a function of the number of lives saved irrespective of age and total life-years saved (Model 2) — were specified and ran using binary probit regression. Our results from both models indicate a general preference for saving younger lives. Based on Model 1 estimates, saving a child aged below one year was considered to be equivalent to saving four retirees (60 years old and above), and saving a life in the 1–19 years age group was equivalent to saving five retirees. The working age group's (20–59 years old) life was judged equivalent to three lives in the retired age group. Regression results for Model 2 indicated that both number of lives and total number of life-years saved (and hence age group of lives saved) significantly affected the choices of the respondents.

Suggested Citation

  • Rosalina Palanca-Tan, 2013. "Age Preferences For Life-Saving Programs: Using Choice Modeling To Measure The Relative Values Of Statistical Life," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 58(02), pages 1-15.
    • Handle: RePEc:wsi:serxxx:v:58:y:2013:i:02:n:s0217590813500082
    DOI: 10.1142/S0217590813500082
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    References listed on IDEAS

    as
    1. Whittington, Dale, 1998. "Administering contingent valuation surveys in developing countries," World Development, Elsevier, vol. 26(1), pages 21-30, January.
    2. Rosalina Palanca Tan, 2008. "Value of Statistical Life Estimates for Children in Metro Manila, Inferred from Parents’ Willingness to Pay for Dengue Vaccines," EEPSEA Research Report rr2008081, Economy and Environment Program for Southeast Asia (EEPSEA), revised Aug 2008.
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    Cited by:

    1. Gu, Yuanyuan & Lancsar, Emily & Ghijben, Peter & Butler, James RG & Donaldson, Cam, 2015. "Attributes and weights in health care priority setting: A systematic review of what counts and to what extent," Social Science & Medicine, Elsevier, vol. 146(C), pages 41-52.
    2. Anastasia V. Kistova & Julia S. Zamaraeva & Natalia N. Pimenova & Ksenia V. Reznikova & Natalia P. Koptseva & Natalia N. Seredkina, 2016. "Regional Peculiarities in Modernization Processes within the Territories of Central Siberia," International Review of Management and Marketing, Econjournals, vol. 6(4), pages 857-865.
    3. Jeff Richardson & John McKie & Angelo Iezzi & Aimee Maxwell, 2017. "Age Weights for Health Services Derived from the Relative Social Willingness-to-Pay Instrument," Medical Decision Making, , vol. 37(3), pages 239-251, April.
    4. Anastasia V. Kistova & Julia S. Zamaraeva & Natalia N. Pimenova & Ksenia V. Reznikova & Natalia P. Koptseva & Natalia N. Seredkina, 2016. "Regional Peculiarities in Modernization Processes within the Territories of Central Siberia," International Review of Management and Marketing, Econjournals, vol. 6(4), pages 857-865.

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    More about this item

    Keywords

    Relative value of statistical life; choice modeling; life-saving programs; I18; Q51; C25; C83;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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