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- W4386875176 abstract "We discuss techniques of estimation and inference for nonlinear cohort panels with learning from experience, showing, inter alia, the consistency and asymptotic normality of the nonlinear least squares estimator employed in the seminal paper by Malmendier and Nagel (2016). Potential pitfalls for hypothesis testing are identified and solutions proposed. Monte Carlo simulations verify the properties of the estimator and corresponding test statistics in finite samples, while an application to a panel of survey expectations demonstrates the usefulness of the theory developed." @default.
- W4386875176 created "2023-09-20" @default.
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- W4386875176 date "2023-09-16" @default.
- W4386875176 modified "2023-09-27" @default.
- W4386875176 title "Least squares estimation in nonlinear cohort panels with learning from experience" @default.
- W4386875176 doi "https://doi.org/10.48550/arxiv.2309.08982" @default.
- W4386875176 hasPublicationYear "2023" @default.
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