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 …

dispersion should also have increased. The relevant data for the US is problematic, so we utilize a UK panel dataset covering the …

This study presents a general methodology for fitting multiple time series models to panel data. The basic statistical … panel data, and it identifies those instances in which procedures found in the time series literature cannot be directly … applied to analyze longitudinal data. Data analysis techniques in the tine series literature are adapted for panel data …

Short panel data sets constructed by matching individuals across monthly files of the Current Population Survey (CPS …

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

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 …

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 …

examine the stylized facts regarding environmental expenditures and innovation in a panel of manufacturing industries. We find …