This working paper was written by Paul D. McNelis (Fordham University).This paper assesses sources of contagion emanating from both within the Hong Kong banking sector as well as from external sources. For robustness, the paper uses alternative measures of contagion, one based on Forecast Error...

This paper compares alternative methods for approximating and solving the stochastic growth model with parameterized expectations. We compare polynomial and neural netowork specifications for expectations, and we employ both genetic algorithm and gradient-descent methods for solving the...

This paper compares three approximation methods for solving and simulating real business cycle models: linear quadratic (including log- linear quadratic) methods, the method of parameterized expectations, and the genetic algorithm. Linear quadratic (LQ), log-linear quadratic (log- LQ) and...

This paper is a simulation analysis of the stochastic growth model with heterogeneous agents. The environment is one of two agents, with a common technology for production, individual labor endowment shocks, constant relative risk aversion utility functions, and limited borrowing/lending...