a suitable class for any count data that can be interpreted as a queue, stock, birth and death process or branching … alternative evaluation methods in the context of probabilistic forecasts for discrete count data, the data type of interest in … models for count data: the integer autoregressive (INAR) class. The INAR class may variously be interpreted as a queue, a …

I show a simple back-of-the-envelope method for calculating marginal effects in binary choice and count data models … coefficient by 0.4 should be moderately accurate. -- marginal effects ; binary choice ; count data …

and variability of these count data by an INGARCH process model. Apparently, the plot illustrates that both the variation … the case of count data. All types of outliers require ν to be an integer. In case of a level shift, the observations …. & Liesenfeld, R. (2006). Time series of count data: modeling, estimation and diagnos- tics. Computational Statistics & Data …

underperforming by about 4 to 10 percent. JEL Classification: C2, I2 Keywords: Poisson model, Tobit model, count data, higher … modelling technique is different in the way that we employ count data models instead of the standard OLS regression or the … estimate the Poisson regression model by regressing the count data on the explanatory variables and the residuals. The Wald …

which are levied directly by the municipalities. Using count data models suited for cross-sectional and panel data, we find …

The most familiar fixed effects (FE) and random effects (RE) panel data treatments for count data were proposed by …

This study presents several extensions of the most familiar models for count data, the Poisson and negative binomial …

count data with extra zeros. The distributional theory and associated properties are developed. Maximum likelihood estimates …