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SMU SOE Online Seminar (Mar 4, 2021, 4pm-5.30pm): Cheating with Models

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TOPIC:  

CHEATING WITH MODELS

 

Beliefs and decisions are often based on confronting models with data. What is the largest “fake” correlation that a misspecified model can generate, even when it passes an elementary misspecification test? We study an “analyst” who fits a model, represented by a directed acyclic graph, to an objective (multivariate) Gaussian distribution. We characterize the maximal estimated pairwise correlation for generic Gaussian objective distributions, subject to the constraint that the estimated model preserves the marginal distribution of any individual variable. As the number of model variables grows, the estimated correlation can become arbitrarily close to one, regardless of the objective correlation.
 

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This seminar will be held virtually via Zoom. A confirmation email with the Zoom details will be sent to the registered email by 3 March 2021.
 

Rani Spiegler

Tel Aviv University
University College London
 
 
Microeconomic Theory
 
 

4 March 2021 (Thursday)

 
 

4.00pm - 5.30pm