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Frugal IV alternatives to identify the parameter for an endogenous regressor
Author(s) -
Ebbes Peter,
Wedel Michel,
Böckenholt Ulf
Publication year - 2009
Publication title -
journal of applied econometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.878
H-Index - 99
eISSN - 1099-1255
pISSN - 0883-7252
DOI - 10.1002/jae.1058
Subject(s) - instrumental variable , identifiability , heteroscedasticity , estimator , econometrics , identification (biology) , estimation , latent variable , regression , economics , computer science , statistics , mathematics , botany , management , biology
A review of the econometric literature on instrumental variables (IV) estimation shows that the performance of traditional IV estimation relies critically on the quality of the instruments. We discuss three different approaches that do not require the availability of observed instrumental variables: the ‘Higher Moments’ (HM) estimator, the ‘Identification trough Heteroscedasticity’ (IH) estimator, and the ‘Latent Instrumental Variable’ (LIV) approach. These methods attempt to identify the regression parameters not through observed instruments but by using other information that enables identifiability. The performance of these methods is illustrated on simulated and empirical data. Copyright © 2009 John Wiley & Sons, Ltd.