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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Agent-Based Models and Causal Inference

Agent-Based Models and Causal Inference

Manzo, Gianluca

Hardcover

Series: Wiley Computational and Quantitative Social Science

General SociologyProbability & Statistics

ISBN10: 1119704472
ISBN13: 9781119704478
Publisher: Wiley
Published: Feb 22 2022
Pages: 176
Weight: 1.06
Height: 0.44 Width: 6.69 Depth: 9.61
Language: English

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 warranting causal claims. Manzo's book makes a convincing case that this is a mistake. The book starts by describing the impressive progress that ABMs have made as a credible methodology in the last several decades. It then goes on to compare the inferential threats to ABMs versus the traditional methods of RCTs, regression, and instrumental variables showing that they have a common vulnerability of being based on untestable assumptions. The book concludes by looking at four examples where an analysis based on ABMs complements and augments the evidence for specific causal claims provided by other methods. Manzo has done a most convincing job of showing that ABMs can be an important resource in any researcher's tool kit.
--Christopher Winship, Diker-Tishman Professor of Sociology, Harvard University, USA

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