, such as a regression function, and treating it as a conditional expectation is central to its identification and estimation … identification related properties of this model when the unknown function mu* belongs to a linear space. We also investigate … underidentification of mu* along with the identification of its linear functionals. Several examples are provided in order to develop …

inflation dynamics. In this thesis, we address the issues of identification which have been overlooked due to the incompleteness … inference under weak identification, pertaining to situations in which only functions of the parameters of interest are …-modelled variables cannot be weakly exogenous for the parameters of interest, and that they are informative about the identification and …

resource company and confirms the call for a more robust identification process. Inaddition the paper maps each indirect costs … factor to the lifecycle stage(s) in which it occurs andpresents the factors that influence the quality of the identification …

best of our knowledge, this is the first model that facilitates the identification in the case of direct network effects …