We introduce a new method for dynamic clustering of panel data with dynamics for cluster location and shape, cluster …-sectional clustering techniques using shrinkage towards previous cluster means. In this way, the different cross-sections in the panel are …

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. …

We develop a panel intensity model, with a time varying latent factor, which captures the influence of unobserved time … & Hautsch (2006) to panel duration data. We show how to estimate the model parameters by a simulated maximum likelihood … behavioral biases and discuss implications for portfolio theory. -- Trading Activity Datasets ; Panel Intensity Models ; Latent …

other companies. Therefore, this study estimates a labor demand model with German establishment panel data. Moreover, a … Heckman correction is introduced to the regressions to avoid selectivity. The results of random effects and fractional panel … Eigentümerstruktur hervorgerufen wird. Verschiedene Panelschätzer (Random Effects, Fractional Panel Probit) bestätigen zunächst die …