We use data on households' deductible choices in auto and home insurance to estimate a structural model of risky choice that incorporates standard risk aversion (concave utility over final wealth), loss aversion, and nonlinear probability weighting. Our estimates indicate that nonlinear...

The paper compares the policy choices regarding risk-transfer against low-probability-high-loss events between elected and appointed public officials. Empirical evidence using data on U.S. municipality-level shows that appointed city managers are more likely to adopt federal risk-transfer...

Within the last decades an increasing number of people practice risky sports in their leisure time. Although there exists a vast number of economic literature on risk-taking behavior, an estimation of the individual willingness to pay (WTP) for the option to exercise risk-taking is missing....

The objective of this paper is to combine a real options framework with portfolio optimization techniques and to apply this new framework to investments in the electricity sector. In particular, a real options model is used to assess the adoption decision of particular technologies under...

The theories of internalization and internationalization provide general factors of international market entry but are not precise about its timing. A model of waiting and growth options seizes the importance of flexibility to FDI decisions and centers the impact of uncertainty. The results of a...

International climate policy has assigned the leading role in emissions abatement to the industrialized countries while developing countries remain uncommitted to binding emission reduction targets. However, cooperation between the industrialized and the developing world through joint...

This paper analyses the effect of uncertainty on investment spending. We analyse twotypes of investment, i.e. aggregate investment and investment in energy saving technologies,using subjective evaluations of expectations and uncertainty of Dutch firms in 1997. Weestimate several models...

We estimate the irrigation water demand for a season under uncertainty using a dynamic programming model and a crop-growth simulation model (EPIC-PHASE) linked to a CRRA utility function representing the farmer's objective function. This model is used to generate the data allowing the estimation...

This paper develops a specification of the credit scoring model with high discriminatory power to analyze data on loans at the retail banking market. Parametric and non- parametric approaches are employed to produce three models using logistic regression (parametric) and one model using...

Although economic agents routinely face various types of economic uncertainty, their effects are often unclear and hard to assess, in part due to the absence of suitable measures of uncertainty. Because of the numerous and very substantial institutional changes that people in the transition...