, 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 …

the major issue a researcher has to deal with when working with a VAR model and a DSGE model: the identification of the …

. This dissertation contributes to the existing body of work by focusing on issues related to parameter identification.In the … used to determine the identifiability, and estimate the parameters of such models. I derive conditions for identification … models, as well as for detecting identification problems.In the third essay I develop a methodology for analyzing …

social implications. This study seeks to uncover consumer concerns regarding various identification technologies that may be …, concerns that they might have regarding six identification technologies. Content analysis was employed in order to place … consumer concerns regarding biometric and radio frequency identification device technology into meaningful categories …