This work identifies the intellectual influences that supported Hayek's computational perspective as well as recognition that Hayek received from computational theorists in the decades following the publication of The Sensory Order. Having outlined Hayek's computational approach, I argue that 1)...

We introduce a novel approach to solving dynamic programming problems, such as those in many economic models, on a quantum annealer, a specialized device that performs combinatorial optimization. Quantum annealers attempt to solve an NP-hard problem by starting in a quantum superposition of all...

We introduce a novel approach to solving dynamic programming problems, such as those in many economic models, on a quantum annealer, a specialized device that performs combinatorial optimization. Quantum annealers attempt to solve an NP-hard problem by starting in a quantum superposition of all...

We argue that deep learning provides a promising avenue for taming the curse of dimensionality in quantitative economics. We begin by exploring the unique challenges posed by solving dynamic equilibrium models, especially the feedback loop between individual agents' decisions and the aggregate...

Playing, Voting, and Dividing -- Playing Successfully: Noncooperative Game Theory -- Cooperative Game Theory -- Voting and Judging: Preference Aggregation by Voting -- The Complexity of Manipulative Actions in Single-Peaked Societies -- Multiwinner Voting -- Judgment Aggregation -- Fair...

The Sustainable Development Goals are global objectives set by the UN. They cover fundamental issues in development such as poverty, education, economic growth, and climate. Despite growing data across policy dimensions, popular statistical approaches offer limited solutions as these datasets...

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...

We provide a general framework for incorporating many types of micro data from summary statistics to full surveys of selected consumers into Berry, Levinsohn, and Pakes (1995)-style estimates of differentiated products demand systems. We extend best practices for BLP estimation in Conlon and...

We introduce a novel approach to solving dynamic programming problems, such as those in many economic models, on a quantum annealer, a specialized device that performs combinatorial optimization. Quantum annealers attempt to solve an NP-hard problem by starting in a quantum superposition of all...

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...

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 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...

Part I: Representative Agent Models: Basic Models -- Perturbation Methods: Framework and Tools -- Perturbation Methods: Solutions -- Perturbation Methods: Model Evaluation and Applications -- Weighted Residuals Methods -- Simulation-Based Methods -- Discrete State Space Value Function Iteration...

This book features a collection of high-quality and peer-reviewed papers from the 2023 7th International Conference on Applied Economics and Business, which was held in Copenhagen, Denmark, during August 24-26, 2023. ICAEB is held annually as a platform for the presentation of new advances and...

Chaper 1. A Holistic Approach to Human Behavior (Orlando Gomes) -- Chapter 2. Complexity and the World of Heterogeneous People (Orlando Gomes) -- Chapter 3. Innovation and Skills: a Contamination Lab Experience in Higher Education Institutions (Subhankar Das) -- Chapter 4. Networks and...

In this review we discuss advances in the agent-based modeling of economic and social systems. We show the state of the art of the heuristic design of agents and how behavioral economics and laboratory experiments have improved the modeling of agent behavior. We further discuss how economic...

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...

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...

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...

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...