of health and unemployment. Along with negative binomial, Poisson panel regressions are a preferred method of analysis …, this result also applies to the commonly used Logit model of panel data with fixed effects. We develop a test for time …

We use dynamic panel data models to generate density forecasts for daily Covid-19 infections for a panel of countries … level. Weekly forecasts from our model are published at https://laurayuliu.com/covid19-panel-forecast …

We revisit time-variation in the Phillips curve, applying new Bayesian panel methods with breakpoints to US and …

panel data. We construct point predictors using Tweedie's formula for the posterior mean of heterogeneous coefficients under … Carlo study. In an empirical application we use the predictor to forecast revenues for a large panel of bank holding …

be reliably estimated, and when panel data on household demands is available, one can construct a second …

We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data …; Section 2.6). We show that panel data allows the econometrician to (i) introduce dependence between the regressors and the … (NLSY79). Consistent with prior work (e.g., Chamberlain, 1982; Vella and Verbeek, 1998), we find that using panel data to …

suggest the results are not stable. We argue that repeated cross sections do not properly specify the model. Panel methods … including hedonic studies and travel cost studies could be enhanced using panel data …

proposed by Papke and Wooldridge, 1996, 2008, in univariate cross-sectional and panel contexts. The paper discusses the …