000			02263cam a2200265 4500
008			731009t1973 ne a erb 000 0 eng
020			_a9023729102
040			_aDLC _cDLC
050	0	0	_aHB141 _b.N43
082	0	0	_a330.01'51 _bNEE
100	1		_aNeeleman, D.
245	1	0	_aMulticollinearity in linear economic models /
260			_aThe Netherlands : _bTilburg University Press, _cc1973.
300			_aviii, 103 p. :ill,
440		0	_aTilburg studies on economics ;
504			_aIncludes bibliographical references: p. 100-103.
520			_aIt was R. Frisch, who in his publications 'Correlation and Scatter Analysis in Statistical Variables' (1929) and 'Statistical Confluence Analysis by means of Complete Regression Systems' (1934) first pointed out the complications that arise if one applies regression analysis to variables among which several independent linear relations exist. Should these relationships be exact, then there exist two closely related solutions for this problem, viz. 1. The estimation of 'stable' linear combinations of coefficients, the so-called estimable functions. 2. The dropping of the well-known condition of unbiasedness of the estimators. This leads to minimum variance minimum bias estimators. This last solution is generalised in this book for the case of a model consisting of several equations. In econometrics however, the relations among variables are nearly always approximately linear so that one cannot apply one of the solutions mentioned above, because in that case the matrices used in these methods are, although ill-conditioned, always of full rank. Approximating these matrices by good-conditioned ones of the desired rank, it is possible to apply these estimation methods. In order to get an insight in the consequences of this approximation a simulation study has been carried out for a two-equation model. Two Stage Least Squares estimators and estimators found with the aid of the above mentioned estimation method have been compared. The results of this study seem to be favorable for this new method.
590			_arpm 29/11/2017
591			_aLoans
650		0	_aEconomics.
650		0	_aMulticollinearity.
700			_aDalmulder, J.J.J.
942			_2ddc _cBOOK
949			_a330.01'51 NEE
999			_c7087 _d7087