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about the number of types. Finite mixture models are hard to estimate for panel data, which is what experiments often … to find the number of types in the data, and that allows for the estimation of panel data models. It combines machine …
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This paper develops a nonparametric method to estimate a conditional quantile function for a panel data model with an …
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This paper focuses on the estimation and predictive performance of several estimators for the time-space dynamic panel …
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The paper develops a general Bayesian framework for robust linear static panel data models using ε-contamination. A two … performance of our estimator relative to classic panel estimators using data on earnings and crime. …
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