Most of the large scale modeling systems used in the analysis of agricultural policies produce deterministic projections. In reality, however, the agricultural sector is subject to a high degree of uncertainty as a result of fluctuations in exogenous factors such as the weather or macroeconomic...

Most model builders continue to treat their models as deterministic when forecasting, despite the fact that these models are composed of equations which are stochastic in nature. Deterministic solution methods ignore the stochastic information on the model structure and in addition produce...

In this paper, we develop an integrated cost-benefit analysis framework for ozone and fine particulate control, accounting for variability and uncertainty. The framework includes air quality simulation, sensitivity analysis, stochastic multi-objective air quality management, and stochastic...

This paper outlines a bootstrapping approach to the estimation and analysis of macroeconometric models. It integrates for dynamic, nonlinear, simultaneous equation models the bootstrapping approach to evaluating estimators initiated by Efron (1979) and the stochastic simulation approach to...

This study uses a stochastic simulation approach based on a partial equilibrium structural econometric model of the world fiber market to examine the effects of a removal of U.S. cotton programs on the world market. The effects on world cotton prices and African export earnings were analyzed....

In this paper we use a Dynamic Factor model to retrieve vulnerability indicators able to predict financial turmoil. A stochastic simulation experiment is then used to produce the corresponding probability forecasts regarding the currency crisis events a®ecting a number of East Asian countries...

This paper presents a computationally fesible procedure for the optimalcontrol and stochastic simulation of large nonlinear models with rationalexpectations under the assumption of certainty equivalence. Copyright Kluwer Academic Publishers 2003

The author presents a computer game that puts the player in the role of a central bank governor. The game is a stochastic simulation of a standard reduced form macro model, and the user interacts with this simulation by manipulating the interest rate. The problem the player faces is in many ways...

In this paper, using industry sector stock returns as proxies of firm asset values, we obtain bank capital requirements (through the cycle). This is achieved by Montecarlo simulation of a bank loan portfolio loss density. We depart from the Basel 2 analytical formula developed by Gordy (2003)...

In this paper, we present a general model of the joint data generating process underlying economic activity and stock market returns allowing for complex nonlinear feedbacks and interdependencies between the conditional means and conditional volatilities of the variables. We propose statistics...