In this paper, we will give a review on the development of artificial adaptive economic agents in evolutionary economics. The review starts from a 1986 paper by Robert Lucas, a Nobel Prize laureate in economics. From there, we shall see how the idea of economic adaptive agents was enriched and...

One of the most critical issues when using neural networks is how to select appropriate network architectures for the problem at hand. Practitioners usually refer to information criteria which might lead to over-parameterized models with heavy consequence on overfitting and poor ex-post forecast...

Motivated from the charting analysis in the financial industry, Chen and He (2003) are the first to use self-organizing maps to search for and identify price patterns. Such a model is referred to as the trajectory-domain model (TDM). Chen and Tsao (2003) apply the TDMs to three American stock...

In most existing DSGE models, parameters are supposed constant and exogenous shocks have zero mean. This makes difficult to treat structural change and anticipated effects of future reforms. Introducing dummy variables in the DSGE model can only handle unexpected changes. This papers deals with...

In this paper we attempt to provide evidence on the structure of technology in the three industrial branches of French economy, when capital is treated as quasi-fixed input. However instead of choosing a single functional form as an approximation to the variable cost function, modified versions...

We investigate identifiability issues in DSGE models and their consequences for parameter estimation and model evaluation when the objective function measures the distance between estimated and model impulse responses. We show that observational equivalence, partial and weak identification...