In homes without working fire alarms, the chance of dying in a non-confined home fire is .0164 if there is a fire. In homes with working fire alarm, the chance of dying is .0115 if there is a fire.1 Similarly, the chance of a non-confined house fire occurring is about 0.0015 (= 92,450/125,000,000). So, all else being equal, the chances of dying in your home due to a non-confined house fire are 0.000025 and 0.000017, respectively, without and with a fire alarm. Noting that smoke alarms range in price from $15 to $60 a piece, can we use this data and the trade-off method to estimate a range in the value of a statistical life? If so, what are these values? Do they seem reasonable? Please show all of your work and provide a raionale

In homes without working fire alarms, the chance of dying in a non-confined home fire is .0164 if there is a fire. In homes with working fire alarm, the chance of dying is .0115 if there is a fire.1 Similarly, the chance of a non-confined house fire occurring is about 0.0015 (= 92,450/125,000,000). So, all else being equal, the chances of dying in your home due to a non-confined house fire are 0.000025 and 0.000017, respectively, without and with a fire alarm. Noting that smoke alarms range in price from $15 to $60 a piece, can we use this data and the trade-off method to estimate a range in the value of a statistical life? If so, what are these values? Do they seem reasonable? Please show all of your work and provide a raionale

Managerial Economics: A Problem Solving Approach

5th Edition

ISBN:9781337106665

Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor

Publisher:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor

Chapter17: Making Decisions With Uncertainty

Section: Chapter Questions

Problem 17.5IP

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