Least orthogonal distance estimation of simultaneos equations: a simulation experiment

Alessia Naccarato and Davide Zurlo

No 90, Departmental Working Papers of Economics - University 'Roma Tre' from Department of Economics - University Roma Tre

Abstract: the aim of this work is to estimate the structural parameters of a simultaneous equation system using both the Limited and Full Information Least Orthogonal Distance Estimator (Pieraccini, 1988; Naccarato, 2007). We compare the results - via simulation experiments – of LODE estimates with those obtained by other methods (Maximum Likelihood, Least Squares). LODE estimators appear to be unbiased and (nearly always) more efficient.

Keywords: Simultaneous equations models; Orthogonal distance (search for similar items in EconPapers)
Pages: 35
Date: 2008-09
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