I estimate a life cycle model of consumption choice with unemployment risk. Employed individuals face the risk of losing their job. Unemployed agents receive job random offers of different quality, which they can accept or reject. Following the loss of a job and during unemployment, an agent’s...

This paper estimates a simultaneous model of moderate and problem drinking, smoking, and wages using a random sample of employed Canadian men. The results indicate that sample selection into alcohol and tobacco use is not negligible. With all else in the system held constant, moderate and heavy...

This paper estimates land use responses of households to relative output prices and wages, using panel data from the Philippines. We present multi-output profit maximizing model to elicit the role of relative prices on land allocation between crops and fallowing. We estimate systems of random...

A user friendly approach to modeling the risk process is presented. It utilizes the insurance library of the XploRe computing environment which is accompanied by on-line, hyperlinked and freely downloadable from the web manuals and e-books. The empirical analysis for Danish fire losses for the...

Roy’s safety-first rule is used to provide measures popular with farmers of short and long term business risk associated with various no-till transition strategies over an investment horizon. The short run rule provided more sensitivity to inter-year financial risk than other commonly used...

This paper deals with the finite sample performance of a set of unit root tests for cross correlated panels. As is well known, univariate tests are not powerful to reject the null of a unit root for the usual economic variables while panel tests, by exploiting the large number of cross-section...

We propose and empirically study a pricing model for convertible bonds based on Monte Carlo simulation. The method uses parametric representations of the early exercise decisions and consists of two stages. Pricing convertible bonds with the proposed Monte Carlo approach allows us to better...

Testing the distribution of a random sample can be considered ,indeed, as a goodness-of-fit problem. If we use the nonparametric density estimation of the sample as a consistent estimate of exact distribution, the problem reduces, more specifically, to the distance of two functions. This paper...

This paper was prepared for the purpose of presenting the methodology and uses of the Monte Carlo simulation technique as applied in the evaluation of investment projects to analyse and assess risk. The first part of the paper highlights the importance of risk analysis in investment appraisal....