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News/SAUSS: Stochastic Approximation with Unbiased Simulated Scores for Limited Dependent Variable Models
arxiv
PublishedOctober 27, 2026 at 4:00 AM

SAUSS: Stochastic Approximation with Unbiased Simulated Scores for Limited Dependent Variable Models

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arXiv:2608.25304v2 Announce Type: replace-cross Abstract: Simulated maximum likelihood is widely used in latent-variable models where likelihood evaluation requires intractable integrals or probabilities. With a fixed number of simulation draws, its estimating equation is generally biased. We develo

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