The effect of fast and slow decisions on risk taking

We experimentally compare fast and slow decisions in a series of experiments on financial risk taking in three countries involving over 1700 subjects. To manipulate fast and slow decisions, subjects were randomly allocated to responding within 7 seconds (time pressure) or waiting for at least 7 or 20 seconds (time delay) before responding. To control for different effects of time pressure and time delay on measurement noise, we estimate separate parameters for noise and risk preferences within a random utility framework. We find that time pressure increases risk aversion for gains and risk taking for losses compared to time delay, implying that time pressure increases the reflection effect of Prospect Theory. The results for gains are weaker and less robust than the results for losses. We find no significant difference between time pressure and time delay for loss aversion (tested in only one of the experiments). Time delay also leads to less measurement noise than time pressure and unconstrained decisions, and appears to be an effective way of decreasing noise in experiments.     

The psychometric and empirical properties of measures of risk preferences

We examine the psychometric and empirical properties of some commonly used survey-based measures of risk preferences in a population-based sample of 11,000 twins. Using a model that provides a general framework for making inferences about the component of measured risk attitudes that is not due to measurement error, we show that measurement-error adjustment leads to substantially larger estimates of the predictive power of risk attitudes, of the size of the gender gap, and of the magnitude of the sibling correlation. Risk attitudes are predictive of investment decisions, entrepreneurship, and drinking and smoking behaviors; are robustly associated with cognitive ability and personality; and our estimates are often larger than those in the literature. Our results highlight the importance of adjusting for measurement error across a wide range of empirical settings.     

Applying stage-gate processes to technology development—Experience from six hardware-oriented companies

The stage gate model has been proposed for application to uncertain technology development. Reports on industrial experience from such implementations are quite limited, however. This led us to explore in six companies what adaptations have been made to facilitate the model's usefulness for technology development and the companies’ experiences from their practical application of the model. Our results indicate that aspects proven important for the operational success, or failure, of the model include the level of adaptation to the characteristics of technology development and a more flexible use than that normally found in product development.     

Do Life-Saving Regulations Save Lives?

Life-saving regulations may be counter-productive since they have an indirect mortality effect through the reduction in disposable income. This paper estimates the effect of income on mortality, controlling for the initial health status and a host of personal characteristics. The analysis is based on a random sample of the adult Swedish population of over 40,000 individuals followed up for 10–17 years. The income loss that will induce an expected fatality is estimated to be $6.8 million when the costs are borne equally among all adults, $8.4 million when the costs are borne proportionally to income and $9.8 million when the costs are borne progressively to income.     

On the Value of Changes in Life Expectancy: Blips Versus Parametric Changes

We estimate the value of a ‘blip’, i.e. an immediate small reduction, in the hazard rate for a random sample of Swedes. Since the risk reduction is age-independent (2 ‘extra saved lives’ out of 10,000 during the next year), we can examine how the value of a statistical life varies with age. We also show how blip data can be used to obtain a lower bound for the value of a permanent change in an individual's hazard rate. The value of a life exhibits an inverted-U shape with respect to age, peaking at the age of 40, and lies within the $3 to $7 million interval where most reasonable estimates are clustered according to Viscusi's (1992) survey.     

The value of private safety versus the value of public safety

In this study, one group of respondents is offered to purchase a safety device to be installed in their cars, while another group is offered a public safety program (improved road quality) which results in the same size risk reduction. In terms of the value of a statistical life, our results are very reasonable. However, the WTP for the private safety device ishigher than the WTP for the public safety measure. Drawing on a model developed by Jones-Lee (1991), we show that some types of altruists may, but need not, be willing to pay more for a private risk reduction than for a uniform risk reduction of the same magnitude. Still, our empirical results are surprising, and further empirical research seems warranted.     

To be,or not to be,that is the question: An empirical study of the WTP for an increased life expectancy at an advanced age

This study reports an attempt to measure the value of an increased survival probability at advanced ages. It turns out that the average willingness to pay for a program which would increase the expected length of life by one year, conditional on having survived to the age of 75 years, is lower than $1,500. The willingness to pay increases with a person's age, but at a low and seemingly constant rate (1–4 percent per year).     

Saving Lives in the Present Versus Saving Lives in the Future—Is There a Framing Effect?

This study considers how to compare programs which are designed to save lives. "To estimate the discount rate for lives saved in the future a number of studies have been carried out on the trade-off between saving lives now and in the future. A telephone survey is administered to about 1,700 individuals [in Sweden] to test if the framing of the question affects the estimated trade-off. In one sample the question is framed as saving 100 lives today versus saving x future lives and in one sample the question is framed as saving 100 future lives versus saving y lives today. The result shows that the framing has a major impact on the trade-off."     

CROWDING OUT IN BLOOD DONATION: WAS TITMUSS RIGHT?

In his seminal 1970 book, The Gift Relationship, Richard Titmuss argued that monetary compensation for donating blood might crowd out the supply of blood donors. To test this claim we carried out a field experiment with three different treatments. In the first treatment subjects were given the opportunity to become blood donors without any compensation. In the second treatment subjects received a payment of SEK 50 (about $7) for becoming blood donors, and in the third treatment subjects could choose between a SEK 50 payment and donating SEK 50 to charity. The results differ markedly between men and women. For men the supply of blood donors is not significantly different among the three experimental groups. For women there is a significant crowding‐out effect. The supply of blood donors decreases by almost half when a monetary payment is introduced. There is also a significant effect of allowing individuals to donate the payment to charity, and this effect fully counteracts the crowding‐out effect. (JEL: C93, D64, I18, Z13)     

The relationship between happiness, health, and socio-economic factors: results based on Swedish microdata

This paper investigates the relationship between happiness (utility) and a host of socio-economic variables in a random sample of over 5,000 individuals from the Swedish adult population. The results show that happiness increases with income, health and education and decreases with unemployment, urbanisation, being single, and male gender. The relationship between age and happiness is U-shaped, with happiness being lowest in the age-group 45–64 years.