Least orthogonal distance estimation of simultaneos equations: a simulation experiment

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.

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Year of publication:	2008-09
Authors:	Naccarato, Alessia ; Zurlo, Davide
Institutions:	Dipartimento di Economia, Università degli Studi di Roma 3
Subject:	Simultaneous equations models \| Orthogonal distance

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Extent:	application/pdf
Series:	Departmental Working Papers of Economics - University 'Roma Tre'.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 0090 3 pages long
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005405023