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panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and … dynamic autoregressive models. The main results are then generalized for higher dimensional panel data sets as well. …
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the estimation of long-run effects in dynamic heterogeneous panel data models with cross-sectionally dependent errors. The …
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This paper considers nonparametric identification of nonlinear dynamic models for panel data with unobserved voariates …. We also propose a sieve maximum likelihood estimator (MLE) and focus on two classes of nonlinear dynamic panel data … female labor force participation model is estimated as an empirical illustration using a sample from the Panel Study of …
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