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  "Title": "Impulse-Response Function Analysis for Agent-Based Models",
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  "Authors@R": "c( person( \"Marcelo C.\", \"Pereira\", email = \"mcper@unicamp.br\",\trole = c( \"aut\", \"cre\" ), comment = c( ORCID = \"0000-0002-8069-2734\" ) ),\nperson( \"Marco\", \"Amendola\", email = \"marco.amendola@univaq.it\",\trole = c( \"aut\" ), comment = c( ORCID = \"0000-0003-3056-5558\" ) ) )",
  "Description": "Performing impulse-response function (IRF) analysis of\nrelevant variables of agent-based simulation models, in\nparticular for models described in 'LSD' format. Based on the\ndata produced by the simulation model, it performs both linear\nand state-dependent IRF analysis, providing the tools required\nby the Counterfactual Monte Carlo (CMC) methodology (Amendola\nand Pereira (2024) <doi:10.1016/j.jebo.2024.106811>), including\nstate identification and sensitivity. CMC proposes retrieving\nthe causal effect of shocks by exploiting the opportunity to\ndirectly observe the counterfactual in a fully controlled\nexperimental setup. 'LSD' (Laboratory for Simulation\nDevelopment) is free software available at\n<https://www.labsimdev.org/>).",
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