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This paper concerns estimating parameters in a high-dimensional dynamic factormodel by the method of maximum likelihood. To accommodate missing data in theanalysis, we propose a new model representation for the dynamic factor model. Itallows the Kalman filter and related smoothing methods to...
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We study the dynamic impact of Covid-19, economic mobility, and containment policy shocks. We use Bayesian panel …
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In this paper, we develop a general method for heterogeneous variable selection in Bayesian nonlinear panel data models … general nonlinear panel data models, encompassing multinomial logit and probit models, poisson and negative binomial count …
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The literature that tests for U-shaped relationships using panel data, such as those between pollution and income or …
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This paper introduces a new estimator for the fixed effects dynamic panel data model withexogenous variables. This …
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