In this paper, we extend and calibrate with Italian data the Agent-based model of the real estate sector described in Baptista et al., 2016. We design a novel calibration methodology that is built on a multivariate moment-based measure and a set of three search algorithms: a low discrepancy...

Coronavirus disease (COVID-19) has spread for over a year and affected many aspects, including food supply chain. One of the impacts of COVID-19 in food supply chain is the reduction of food production capacity. It is necessary to develop the optimum food supply chain strategy by determining the...

We study a Bayesian learning model with heterogeneity in which the agents control both short-term manipulations and long-term efforts aimed at solving the optimal contract in dynamic environments. At the same time, considering the dynamic characteristics of contracts, the paper considers the...

Merchants are wary of a platform entering as a competitor and adversely affecting sales and margins. A platform wanting to maximize profits is interested also in gaining consumer trust and confidence by providing credible quality information to consumers. As a practical matter, could a...

We build an agent-based model to study how coordination failures, credit constraints and unequal access to investment opportunities affect inequality and aggregate income dynamics. The economy is populated by households who can invest in alternative projects associated with different...

Vulnerability to manipulation is a threat to successful matching market design. However, some manipulation is often inevitable and the mechanism designer wants to compare manipulable mechanisms and pick the best. Real-life examples include reforms in the entry-level medical labor market in the...

Universal approximation functions are well known and studied in canonical mathematics. Here we theorize the existence of an independent class of universal approximation agents and agent-based models. We draw upon historical references from mathematical analysis, the development of machine...

Agent-based modeling tools commonly trade off usability against power and vice versa. On the one hand, full development environments like NetLogo feature a shallow learning curve, but have a relatively limited proprietary language. Others written in Python or Matlab, for example, have the...

Although some recent studies have provided fresh intellectual insights on the role of patent practitioners during the nineteenth century, they have largely overlooked the activity of these actors in international patenting and peripheral countries. This study will fill a gap in the existing...