We propose a general and highly efficient method for solving and estimating general equilibrium heterogeneous-agent models with aggregate shocks in discrete time. Our approach relies on the rapid computation of sequence-space Jacobians—the derivatives of perfect-foresight equilibrium mappings...

At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of...

This paper presents DSGE Nash, a toolkit to solve for pure strategy Nash equilibria of global games in macro models. Although primarily designed to solve for Nash equilibria in DSGE models, the toolkit encompasses a broad range of options including solutions up to the third order, multiple...

This paper presents DSGE Nash, a toolkit to solve for pure strategy Nash equilibria of global games in macro models. Although primarily designed to solve for Nash equilibria in DSGE models, the toolkit encompasses a broad range of options including solutions up to the third order, multiple...

We analyze the individual and macroeconomic impacts of heterogeneous expectations and action rules within an agent-based model populated by heterogeneous, interacting firms. Agents have to cope with a complex evolving economy characterized by deep uncertainty resulting from technical change,...

Methodology should reflect on and assess real practices of research, not ideal ones. A practice consists of people working with ideas, tools and techniques to tackle a specific set of problems. This means that beside the more traditional focus on ideas we also must reflect on these tools and...

We propose a general and highly efficient method for solving and estimating general equilibrium heterogeneous-agent models with aggregate shocks in discrete time. Our approach relies on the rapid computation and composition of sequence-space Jacobians--the derivatives of perfect-foresight...

This book analyses decision-making in dynamic economic environments. By applying a wide range of methodological approaches, combining both analytical and computational methods, the contributors examine various aspects of optimal firm behaviour and relevant policy areas. Topics covered include...

Chapter 1 “Introduction” by Herbert Dawid and Jasmina Arifovic -- Chapter 2. “Cross-bidding in eBay-like Environments” by Francisco Alvarez and Marcello Sartarelli -- Chapter 3. “Risk–Reward Ratio Optimisation (Revisited)” by Manfred Gilli and Enrico Schumann -- Chapter 4....

1: Introduction -- 2: Intuitions about Welfare – Under the Constraint of Computability -- 3: Sraffa, Keynes and a New Paradigm -- 4: On the Meaning Maximization Doctrine: An Alternative to the Utilitarian Doctrine -- 5: A Generalization of Sraffa’s Notion of “Viability” in a ‘Land...

Research on quantum technology spans multiple disciplines: physics, computer science, engineering, and mathematics. The objective of this manuscript is to provide an accessible introduction to this emerging field for economists that is centered around quantum computing and quantum money. We...

At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of...

Research on quantum technology spans multiple disciplines: physics, computer science, engineering, and mathematics. The objective of this manuscript is to provide an accessible introduction to this emerging field for economists that is centered around quantum computing and quantum money. We...

The global financial crisis and the ensuing criticism of macroeconomics have inspired researchers to explore new modeling approaches. There are many new models that deliver improved estimates of the transmission of macroeconomic policies and aim to better integrate the financial sector in...

This paper investigates progress in the development of models capable of empirically analyzing the evolution of industries. It starts with a parallel between the development of empirical frameworks for static and dynamic analysis of industries: both adapted their frameworks from models taken...

This paper merges two isolated bodies of literature: the Markov chain model with macro data (MacRae, 1977) and the ecological inference model (Robinson, 1950). Both are choice models. They have the same likelihood function and the same regression equation.Decades ago, this likelihood function...

We develop an agent-based model to study the macroeconomic impact of alternative macro prudential regulations and their possible interactions with different monetary policy rules. The aim is to shed light on the most appropriate policy mix to achieve the resilience of the banking sector and...

This paper investigates progress in the development of models capable of empirically analyzing the evolution of industries. It starts with a parallel between the development of empirical frameworks for static and dynamic analysis of industries: both adapted their frameworks from models taken...

We develop an agent-based model to study the macroeconomic impact of alternative macro prudential regulations and their possible interactions with different monetary policy rules. The aim is to shed light on the most appropriate policy mix to achieve the resilience of the banking sector and...

I develop a computational method for solving and estimating heterogeneous agent macro models with aggregate shocks. The main challenge is that the aggregate state vector contains the distribution of agents, which is typically infinite-dimensional. I approximate the distribution with a flexible...

I develop a computational method for solving and estimating heterogeneous agent macro models with aggregate shocks. The main challenge is that the aggregate state vector contains the distribution of agents, which is typically infinite‐dimensional. I approximate the distribution with a flexible...