Economic Valuation of Mortality‐Risk Reduction: Stated Preference Estimates from the United States and Canada

Two internet‐based surveys were conducted with adults aged 35 to 84 - 885 respondents in the United States and 641 respondents in Canada - to estimate willingness to pay (WTP) for reducing mortality risks through out‐of‐pocket costs for health‐care programs. All respondents were asked a series of choice questions followed by a payment‐card question. Causes of death included cancer and heart attack. Levels of annual mortality‐risk reduction were 1, 2, and 5 in 10,000. Converted to values of statistical life, results were in the range of $4–5 million (2002 U.S. dollars) for the choice‐question results for a 2‐in‐10,000 annual risk reduction for illness‐related mortality. U.S. and Canadian results were similar. The payment‐card results were about 50% lower than the choice‐question results. WTP to reduce mortality risk was essentially the same for cancer and heart attack. The results showed WTP weakly increasing with age, and no evidence of lower WTP for older adults versus middle‐aged adults.

[1]  W. Shaw,et al.  A theoretically-consistent empirical model of non-expected utility: An application to nuclear-waste transport , 2006 .

[2]  Randall A. Kramer,et al.  Does Question Format Matter? Valuing an Endangered Species , 1999 .

[3]  J. Deshazo,et al.  Demand for health risk reductions , 2013 .

[4]  Riccardo Scarpa,et al.  Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study , 2007 .

[5]  Trudy Ann Cameron,et al.  The effect of children on adult demands for health-risk reductions. , 2010, Journal of health economics.

[6]  B. Kanninen,et al.  Valuing Environmental Amenities Using Stated Choice Studies , 2007 .

[7]  Edward J. Balistreri,et al.  Can Hypothetical Questions Reveal True Values? A Laboratory Comparison of Dichotomous Choice and Open-Ended Contingent Values with Auction Values , 2001 .

[8]  William S. Breffle,et al.  A Joint Latent-Class Model: Combining Likert-Scale Preference Statements With Choice Data to Harvest Preference Heterogeneity , 2011 .

[9]  William S. Breffle,et al.  Combining Stated-Choice and Stated-Frequency Data with Observed Behavior to Value NRDA Compensable Damages: Green Bay, PCBs, and Fish Consumption Advisories , 2006 .

[10]  M. Hammerton,et al.  THE VALUE OF SAFETY: RESULTS OF A NATIONAL SAMPLE SURVEY. IN: URBAN TRANSPORT , 1985 .

[11]  P. Deb,et al.  Demand for Medical Care by the Elderly: A Finite Mixture Approach , 1997 .

[12]  Joseph E. Aldy,et al.  The Value of a Statistical Life: A Critical Review of Market Estimates Throughout the World , 2003 .

[13]  Joffre Swait,et al.  Choice Environment, Market Complexity, and Consumer Behavior: A Theoretical and Empirical Approach for Incorporating Decision Complexity into Models of Consumer Choice , 2001 .

[14]  Chris Dockins,et al.  Cancer premiums and latency effects: A risk tradeoff approach for valuing reductions in fatal cancer risks , 2008 .

[15]  Trudy Ann Cameron,et al.  Willingness to Pay for Health Risk Reductions: Differences by Type of Illness , 2009 .

[16]  Trudy Ann Cameron,et al.  Demand for health risk reductions: A cross-national comparison between the U.S. and Canada , 2010 .

[17]  Bryan J. Hubbell,et al.  U.S. Environmental Protection Agency , 1995 .

[18]  Klaus Moeltner,et al.  The Cost of Power Outages to Heterogeneous Households , 2005 .

[19]  Kevin Haninger,et al.  Valuing fatal risks to children and adults: Effects of disease, latency, and risk aversion , 2010 .

[20]  W. Kip Viscusi,et al.  The heterogeneity of the value of statistical life: Introduction and overview , 2009 .

[21]  L. Eaves,et al.  Estimating genetic parameters of survival distributions: A multifactorial model , 1988, Genetic epidemiology.

[22]  W. Hanemann,et al.  Welfare Analysis with Discrete Choice Models , 1996 .

[23]  K. Train Recreation Demand Models with Taste Differences Over People , 1998 .

[24]  F. Norwood,et al.  Effect of Experimental Design on Choice‐Based Conjoint Valuation Estimates , 2005 .

[25]  J. Graham,et al.  Willingness to Pay for Health Protection: Inadequate Sensitivity to Probability? , 1999 .

[26]  Anna Alberini,et al.  Does the Value of a Statistical Life Vary with Age and Health Status? Evidence from the United States and Canada , 2004 .

[27]  P. Corso,et al.  Valuing Mortality-Risk Reduction: Using Visual Aids to Improve the Validity of Contingent Valuation , 2001 .

[28]  Joel Huber,et al.  A Reference Lottery Metric for Valuing Health , 1996 .

[29]  F. Johnson,et al.  Sources and Effects of Utility-Theoretic Inconsistency in Stated-Preference Surveys , 2001 .

[30]  P. Boxall,et al.  Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach , 2002 .

[31]  William S. Breffle,et al.  Valuing a Change in a Fishing Site Without Collecting Characteristics Data on All Fishing Sites: A Complete But Minimal Model , 2006 .

[32]  Robin Gregory,et al.  Do Reminders of Substitutes and Budget Constraints Influence Contingent Valuation Estimates , 1994 .

[33]  I. Krinsky,et al.  On Approximating the Statistical Properties of Elasticities , 1986 .

[34]  R. Rowe,et al.  Valuing Enhancements to Endangered Species Protection under Alternative Baseline Futures: The Case of the Steller Sea Lion , 2010, Marine Resource Economics.

[35]  Alan Krupnick,et al.  Mortality-risk Valuation and Age: Stated Preference Evidence , 2007 .

[36]  Kenji Takeuchi,et al.  A Choice Experiment Approach to the Valuation of Mortality , 2005 .

[37]  James K. Hammitt,et al.  Valuing Changes in Mortality Risk: Lives Saved Versus Life Years Saved , 2007 .

[38]  William D. Schulze,et al.  A Test for Payment Card Biases , 1996 .