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Some remarks on measurement errors and the identification of panel data models *
Author(s) -
Hsiao C.,
Taylor G.
Publication year - 1991
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1991.tb01303.x
Subject(s) - identification (biology) , panel data , econometrics , observational error , computer science , worry , errors in variables models , basis (linear algebra) , estimation , data mining , statistics , mathematics , psychology , engineering , anxiety , botany , geometry , systems engineering , psychiatry , biology
We demonstrate that despite the common worry about the possible correlations between the unobserved individual effects and the explanatory variables in panel data models the likelihood approach can provide a unified framework towards the study of the identification of a panel data model subject to measurement errors. In fact, it can also serve as a basis for deriving efficient estimation methods.