Some agents are more accurate than others in estimating the best policy. The more accurately an agent estimates a policy's effects, the more he will resist biases, such as bribes from a special interest. Thus, a special interest needs to pay a larger bribe to an accurate agent than to an...

I propose a computational algorithm for estimating heterogeneous agent macro models with micro data. The main challenge is that the state vector is infinite-dimensional and the likelihood of the stationary distribution is intractable. The key feature of the framework is that it minimizes the...

Using the Heterogeneous Agent Model framework, we incorporate an extension based on Prospect Theory into a popular agent-based asset pricing model. This extension covers the phenomenon of loss aversion manifested in risk aversion and asymmetric treatment of gains and losses. Using Monte Carlo...

An Agent-Based Model (ABM) accounting for tax-morale and loss-aversion was implemented over different network systems with social interactions at the local level to study the phenomenon of tax evasion. This ABM is an innovative model which integrates endogenous characteristics of heterogeneous...

Why did interbank markets freeze during the crisis despite an unprecedented level of policy intervention? This paper seeks to answer that question by combining a realistic, multilayer network structure with an Agent-Based Model of the interbank market. The multilayer network consists of two...

Validation has been an important issue in using the ABM approach. It has been pointed out that deriving the necessary conditions for reproducing specific macro behavior is difficult due to the functional complexity of the models. However, based on the authors' experience in ABM, we believe it is...

Interest in agent-based models of financial markets and the wider economy has increased consistently over the last few decades, in no small part due to their ability to reproduce a number of empirically-observed stylised facts that are not easily recovered by more traditional modelling...

In this paper we propose a new approach to studying the financial markets. Instead of the traditional top- down approach where a Brownian Motion is assumed as the main driving force behind the market movement (and where dynamic strategies are built as a result), we rather take the opposite point...

Based on the literature on public procurement regulation, we use an Agent-Based Model to assess the performance of different selection procedures. Specifically, we aim at investigating whether and how the inclusion of reputation of firms in the public procurement selection process affects the...

The window of opportunity for effective climate change mitigation is closing. Hence, it is decisive to unterstand how to accelerate the diffusion of climate friendly technologies. Path dependence of technological change is an explanation for sluggish diffusion even if a technology is superior in...