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00925njm 22002777a 4500 dc Rivero Rodríguez, Carlos author Valdés Sánchez, Teófilo author 2008 We present an iterative estimation procedure to estimate panel data models when some observations are missed or grouped with arbitrary classification intervals. The analysis is carried out from the perspective of panel data models, in which the error terms may follow an arbitrary distribution. We propose an easy-to-implement algorithm to estimate all of the model parameters and the asymptotic stochastic properties of the resulting estimate are investigated as the number of individuals and the number of time periods increase. 1210-3195 https://hdl.handle.net/20.500.14352/50487 https://www.sav.sk/journals/uploads/0916110419-05r-v.pdf http://www.sav.sk/ Analysis of panel data models with grouped observations