4 edition of **Age variations in workers" value of statistical life** found in the catalog.

Age variations in workers" value of statistical life

Joseph E. Aldy

- 240 Want to read
- 19 Currently reading

Published
**2004**
by National Bureau of Economic Research in Cambridge, MA
.

Written in English

- Life cycle, Human.,
- Hazardous occupations.,
- Age and employment.

**Edition Notes**

Statement | Joseph E. Aldy, W. Kip Viscusi. |

Series | NBER working paper series ;, working paper 10199, Working paper series (National Bureau of Economic Research : Online) ;, working paper no. 10199. |

Contributions | Viscusi, W. Kip., National Bureau of Economic Research. |

Classifications | |
---|---|

LC Classifications | HB1 |

The Physical Object | |

Format | Electronic resource |

ID Numbers | |

Open Library | OL3476819M |

LC Control Number | 2005616363 |

In the year cross section, workers’ VSL rises from $ million (ages 18–24) to $ million (35–44), and declines to $ million (55–62). Controlling for birth-year cohort effects in a minimum distance estimator yields a peak VSL of $ million at and flattens the age-VSL relationship. effects of age on the value of a statistical life. Our meta-analysis indicates an income elasticity of the value of a statistical life from about to The paper also presents a detailed discussion of policy applications of these value of a statistical life estimates and related issues, including risk-risk analysis.

(EPA , Viscusi ). The value of statistical life is an estimate of the financial value society places on reducing the average number of deaths by one. A related concept is the value of statistical life year, which estimates the value society places on reducing the risk of premature death, expressed in terms of saving a statistical life. The term "value of statistical life" can give the misleading impression that a "price" is being placed on individual lives--as a mugger who says, "Your money or your life!?" In reality, EPA regulations typically lead to small reductions in mortality risks (ranging up to 1 in 1, per year) for large numbers of people.

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics s: A wage is the distribution from an employer of a security (expected return or profits derived solely from others) paid to an employee. Like interest is paid out to an investor on his investments, a wage is paid as earnings to the employee on his invested assets (time, money, labor, resources, and thought).

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Get this from a library. Age variations in workers' value of statistical life. [Joseph E Aldy; W Kip Viscusi; National Bureau of Economic Research.].

Age Variations in Workers' Value of Age Variations in Workers' Value of Statistical Life. Joseph E. Aldy & W. Kip Viscusi. Share. and a minimum distance estimator. The value of statistical life for a year old ranges from $ million to $ million -- less than half the value for 30 to year olds.

Acknowledgements and by: The value of statistical life for a year old ranges from $ million to $ million -- less than half the value for 30 to year olds.

Suggested Citation: Suggested Citation Aldy, Joseph E. and Viscusi, W. Kip, Age Variations in Workers' Value of Statistical Life (January ).Cited by: Age Variations in Workers' Value of Statistical Life. 57 Pages Posted: 19 Oct See all articles by Joseph E. Aldy Workers' value of statistical life exhibits an inverted U-shaped relationship over workers' life cycle based on hedonic wage model estimates, age-specific hedonic wage estimates, and a minimum distance estimator.

The value Cited by: Age variations in workers’ value of a statistical life. By Joseph E. Aldy and W. Kip ViscusiBusiness, Joseph E. Aldy and W. Kip Viscusi. Abstract.

Harvard Law Schoo. Workers ’ value of statistical life exhibits an inverted U-shaped relationship over workers ’ life cycle based on hedonic wage model estimates, age-specific hedonic wage estimates, and a minimum distance estimator.

{to the source. Age Variations in Workers ’ Value of Statistical Life. Downloadable. This paper develops a life-cycle model in which workers choose both consumption levels and job fatality risks, implying that the effect of age on the value of life is ambiguous.

The empirical analysis of this relationship uses novel, age-dependent fatal and nonfatal risk variables. Workers' value of statistical life exhibits an inverted U-shaped relationship over workers' life.

to the source. Age Variations in Workers ’ Value of. Age variations in workers’ value of statistical life, 2 For a sense of the political reaction and EPA's decision to discontinue the use of an age-based value of statistical life, see “EPA Drops Age-Based Cost Studies,” New York Times, May 8.

indicates, matching these values to the pertinent population at risk is often problematic, particularly for people at the extreme ends of the age distribution. Estimating the value of a statistical life from labor markets The hedonic wage methodology More than two centuries ago, Adam Smith () noted in The Wealth of Nations.

"Age Variations in Workers' Value of Statistical Life," NBER Working PapersNational Bureau of Economic Research, Inc. Hersch, Joni, " Compensating Differentials for Gender-Specific Job Injury Risks," American Economic Review, American Economic Association, vol.

This book also gives an in-depth discussion of how VSL estimates best can be used in policy assessments. The book is an outcome of the PIMAVE project – Policy Implications of Meta-Analysis of Value-of-Statistical-Life Estimates.

Great emphasis was placed on sorting out the estimates most appropriate for inclusion in the meta-analysis. In dollars, these studies yield values of a statistical life ranging from $0 (e.g., Dorsey,for non-union workers) to $50, (Acton, ) to $15 million (Jones-Lee, ; Viscusi and.

The Health of Nations: The Value of a Statistical Life Overview This gain in our longevity has been achieved through a variety of incremental improvements in health and aged care expenditure, occupational safety, environmental interventions and technological advances.

The value of a statistical life (VSL) is used to assign a dollar value to the benefits of health and safety regulations. Many of those regulations disproportionately benefit older people, but most estimates of the VSL come from hedonic wage regressions with few older workers and no retirees.

Using automobile purchase decisions, I estimate a VSL for individuals from the age of 18 up to the age. Value of Statistical Life. Amount people are willing to pay to reduce risk so that on average one less person is expected to die from the risk.

Sample Usage: The analyst estimates the monetary value of the mortality risk reduction from the initiative by using the VSL estimate.

Annotation. the value for a human life. In the s, some of the common methods for attempting to value human life included foregone income, court awards, or the cost of life-saving technology. For example, in wrongful death court cases, the present discounted value of lost income due to premature death is sometimes used to estimate damages.

However, this. based on Lazear (). Age-earnings pro les are thought to be upward sloping because this will discourage workers from shirking. Workers and rms engage in long-term relation-ships in which the worker is initially underpaid { the wage is lower than the value of the marginal product { but later on in life the worker is overpaid.

When policies are designed to reduce health risks, agencies use a metric called the Value of a Statistical Life, or VSL to estimate benefits. In the simplest terms, a VSL is an estimate for how much people are willing to pay to reduce their risk of death.

Alternatively, the VSL can be thought of as how much people are willing to pay for safety. JOSEPH E. ALDY & W. KIP VISCUSI, "Age Variations in Workers' Value of Statistical Life" SSRN (March ) This paper develops a life-cycle model in which workers choose.

J. E. Aldy and W. K. Viscusi (Arias ).6 The forty-year-old should value a mortality risk reduction more than the sixty-year-old, ceteris paribus, because there are seventeen more expected years at stake for the younger individual.

The decision to invest in risk. The first term in (6), (1−D j) −1, unambiguously increases with age: As people age, their probability of surviving the current period falls and, for this reason, their WTP to reduce their risk of death should increase. 5 How the present value of expected utility of consumption—the remainder of the equation—changes with age is ambiguous.The Health of Nations: The Value of a Statistical Life Australian Safety and Compensation Council, [March ] i The Health of Nations: The Value of a Statistical Life Acknowledgement This research was commissioned by the Office of the Australian Safety and Compensation Council (the Office of the ASCC), in the Department of.