Full text: Study week on the econometric approach to development planning

132 PONTIFICIAE ACADEMIAE SCIENTIARVM SCRIPTA VARIA - 
DS 
therefore, the prime reason for avoiding multicollinearity is 
that the addition of an instrument which is collinear with the 
included ones adds little causal information while using up a 
degree of freedom. The elimination of such multicollinearity 
ought thus to proceed in such a way as to conserve causal 
information. The KLOEK-MENNES proposals may result in 
orthogonal combinations of instruments which are not par- 
ticularly closely causally related to the included endogenous 
variables. Thus such proposals may well be inferior to a 
procedure which eliminates multicollinearity by eliminating 
instruments which contribute relatively little to the causal 
explanation of the endogenous variable to be replaced (2). 
Clearly, this may involve using different sets of instruments in 
the replacement of different endogenous variables. Proposals 
along these lines are given below. 
It may be objected, however, that such a procedure may 
eliminate multicollinearity in the regression of the included 
endogenous variables (other than the left-hand one of the equa- 
tion) on the chosen instruments only to encounter it again when 
the dependent variable is regressed on the replaced variables 
and the instruments appearing in the equation. This is clearly 
true (*'); it is unavoidable, however. The fact that the variables 
to be replaced by combinations of instruments are all part of 
the system to be estimated guarantees that they themselves 
must be reasonably highly collinear and related to the included 
instruments. It is impossible to reduce that kind of multicol- 
linearity without introducing as instruments noise elements 
which are unrelated to the included variables, and such intro- 
duction clearly gains nothing. If we can secure instrumental 
variables which are closely causally related to the included 
variables but relativelv uncorrelated with the disturbance of a 
(**) This seems to have been one of the outcomes of experimentation 
with different forms of principal component analysis in practice. See Tav- 
LOR [30a]. 
(7) It is also true of the KILOEK-MENNES Drocedures. 
6] Fisher - pag. 48
	        
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