Agent-based Models and Causal Inference Scholars of causal inference have given little credence to the possibility that ABMs could be an important tool in warra

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The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applicati

David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is