When economic crises destabilize labor markets, they offer unique opportunities to explore welfare dynamics and the interplay between partnership formation and social assistance. Using data from Sweden's 1990s economic crisis, characterized by high unemployment, expanding budget deficit, and a...

We develop a deep reinforcement learning (RL) framework for an optimal market-making (MM) trading problem, specifically focusing on price processes with semi-Markov and Hawkes Jump-Diffusion dynamics. We begin by discussing the basics of RL and the deep RL framework used; we deployed the...

Urban planning, through design and land use allocation, affects urban climate dynamics and patterns at different atmospheric layers and spatial scales. Climate sensitive planning and design draws attention to the consideration of climate parameters for decision making. Seeking to contribute to...

The Levy Institute Microsimulation Model (LIMM) is a tool used for policy simulations to estimate ex-ante the employment and income effects of sectoral investments. In Istenes (2023), a simple implementation of the LIMM for New York State initially had difficulty producing realistic conditional...

This research estimates by how much the NCS reduces childcare costs for families who use formal childcare in Ireland. The cost 'coverage' of the subsidy, measured by the ratio of the subsidy to the total cost of care, is estimated using the microsimulation model, SWITCH, linked to 2022 data from...

Different types of mathematical models can be used to forecast the development of diseases as well as associated costs and analyse the cost-effectiveness of interventions. The set of models available to assess these parameters, reach from simple independent equations to highly complex...

This article aims to develop the theoretical overlapping generation models with the unstable healthcare system due to the problem of missing trading markets between young and old generations. The main healthcare system in Thailand is Universal Coverage (UC) which covers around 48 million Thai...

At the start of the Coronavirus Disease (COVID-19) vaccination campaign in Mexico, the vaccine was the world's most essential and scarce asset. Managing its administration to optimize its use was, and still is, of paramount importance. However, when the first vaccine was developed at the end of...

Simulation modelling has widely been applied in healthcare supply chain management, focusing on blood and vaccine supply chains with less attention on the medicine supply chains. This study presents a systematic review of studies applying simulation methods, namely agent-based modelling,...

Many internal combustion engine (ICE) vehicle drivers would consider transitioning to an electric vehicle (EV), but they have not had practical experience driving an EV. Many current ICE and even EV drivers have what has been termed range anxiety, which is the concern that they will run out of...

Over recent decades, workplace bullying and other forms of "negative acts" have become a phenomenon of global interest. Extant scholarship has recognized the negative effects, which escalating acts of verbal and physical aggression can have on individuals and the wider, ethical infrastructure of...

This report, the second in a series, leverages JRC extensive experience in developing and applying highly accurate radiative transfer models to simulate in situ and satellite aquatic data, which are integrated into the JRC's Advanced Radiative Transfer Models for In situ and Satellite Ocean...

This paper introduces a methodology for estimating transition intensities in a multi-state model for disability and long-term care insurance. We propose a novel framework that integrates observable risk factors, such as demographic (age and sex), lifestyle (smoking and exercise habits) and...

Forecast risk management is central to the financial management process. This study aims to apply Monte Carlo simulation to solve three classic probabilistic paradoxes and discuss their implementation in corporate financial management. The article presents Monte Carlo simulation as an advanced...

The growing adoption of renewable energy, particularly photovoltaic (PV) solar systems, has led to the development of numerous simulation software tools to simplify system design, analysis, and optimization. This study evaluates five widely used PV simulation software packages-SAM, PVsyst,...

Background: The Petroleum Products Distribution Company in Anbar Governorate is responsible for securing and distributing petroleum products to various sectors, including transportation, agriculture, industry, and households, through over 100 gas stations. The company has faced significant...

Energy-related carbon emissions from the transportation sector are one of the major obstacles to achieving global carbon reduction targets. Current research on transportation energy mainly focuses on the energy end-use stage, with a lack of simulations covering both the front-end and end-use...

Background: Thailand is actively transitioning toward electric vehicle adoption as part of its commitment to reducing greenhouse gas emissions. This study investigates the economic feasibility of replacing diesel buses with electric buses in Thailand's public transportation sector. Methods: The...

Background: Intralogistics systems face growing challenges from globalization, individualization, and shorter product life cycles, demanding flexible and responsive solutions beyond traditional centralized control. Decentralized, agent-based approaches offer potential advantages, especially for...

This paper explores the distributive impact of a hypothetical carbon tax on households’ transport and energy consumption in Belgium. It focuses on the welfare effects across population groups and along the income distribution, as well as on the expected budgetary and environmental effects,...

Consumption taxes are a crucial revenue source for EU Member States, yet they also potentially have non-negligible impact on income distribution. The EU’s tax-benefit microsimulation model, EUROMOD, has recently been extended to simulate consumption taxes (CT) across all 27 EU countries...

Europe's demographic shift is putting increasing pressure on long-term care (LTC) systems and raising concerns about the sustainability of LTC financing. This paper analyses Austria's LTC system, particularly its universal long-term care allowance (LTCA), and uses a dynamic microsimulation model...

Blockchain technology is reshaping business models by altering how transactions and data integrity are managed. This shift necessitates evaluating long-term profitability and operational efficiency across various blockchain frameworks. Our research describes the development and application of a...

We demonstrate how computer-based simulations could support cyber stress testing exercises through a three-step framework. First, cyber-attack scenarios are designed to target the systemic nodes of a payment network at different times, disrupting a major bank, critical service provider,...

This report presents a series of numerical simulations, done by the EUROPLEXUS code [1], of experimental tests performed at the Norwegian University of Science and Technology (NTNU) about blast effects on tubular concrete (plain or reinforced) structures. These structures provide a simplified...