Registration is now OPEN

Decision notices have been sent to all submitters. We also warmly welcome registrations from those wishing to attend without presenting.

All presenters, including those whose papers have been invited or solicited by members of the program committee, are expected to register and pay the applicable fees.

Register here

Submissions

The abstract submission deadline has passed. Decision notices have been sent to all submitters. If you have not received a notification, please contact us at cef2026@simplemeetings.com.

Sponsorship

CEF 2026 is generously sponsored by the Journal of Economic Dynamics and Control (JEDC).

Topic Areas

We welcome submissions in all areas of computational economics, broadly defined. Submitters may select up to two topic areas from the list below.

Agent-Based Modeling: Computational models with heterogeneous interacting agents, including calibration, validation, evolutionary dynamics, and emergent macro-level phenomena.
Applied Macroeconomics: Empirical macroeconomic analysis, including VARs, DSGE estimation, nowcasting, forecasting, shock identification, and real-time data methods.
Applied Microeconomics and Structural Estimation: Computational approaches to microeconomic problems, including structural models, discrete choice, mechanism design, auction theory, and program evaluation.
Climate, Energy, and Environmental Economics: Modeling the interaction between economic activity and the environment, including integrated assessment models, carbon policy, energy markets, green finance, and the green transition.
Computational/Numerical Methods and Optimization: Methods for computing solutions to economic models, including perturbation, projection, dynamic programming, neural network solvers, deep learning for model solution, GPU-accelerated computation, and surrogate models.
Econometrics and Machine Learning: Statistical and computational methods for estimation and inference, including time series analysis, Bayesian methods, high-dimensional estimation, causal inference, causal ML, text-as-data, and NLP for economic measurement.
Economics of AI and Technological Change: The economic effects of artificial intelligence and other new technologies, including impacts on labor markets, productivity, innovation, task displacement, platform economics, and technology diffusion.
Experimental Economics: Laboratory and field experiments bearing on economic behavior, including market experiments, tests of learning and expectations formation, and behavioral macroeconomics and finance.
Expectations: Methods and Models: Any departure from the Full-Information Rational Expectations / common knowledge benchmark, including adaptive learning, heterogeneous expectations, bounded rationality, heuristic switching, information frictions, and computational approaches to modeling belief formation (including AI and machine learning as models of how agents learn).
Finance: Theoretical and empirical analysis of financial markets and institutions, including asset pricing, portfolio choice, banking, credit markets, financial frictions, volatility modeling, risk measurement, market microstructure, household finance, fintech, digital currencies, DeFi, and cryptocurrency.
International Macroeconomics and Trade: Open economy macroeconomics and trade, including exchange rate dynamics, capital flows, sovereign debt, trade policy, global imbalances, currency unions, and firm heterogeneity in international markets.
Macroeconomics and Monetary Economics: Macroeconomic modeling and policy, including business cycles, heterogeneous-agent models, DSGE, fiscal policy, monetary policy, inflation dynamics, central banking, inequality, housing, growth, life-cycle models, firm dynamics, and macro-prudential policy.
Networks and Complex Systems: Network-based and complexity-theoretic approaches to economic and financial systems, including financial networks, systemic risk, contagion, production networks, social networks, and spatial economics.