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Dropping variables versus use of proxy variables in linear regression

✍ Scribed by G. Trenkler; P. Stahlecker

Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
408 KB
Volume
50
Category
Article
ISSN
0378-3758

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Suppose \(Y\) has a linear regression on \(X_{1}, X_{2}\), but observations are only available on \(\left(Y, X_{1}\right)\). If large scale data on \(\left(X_{1}, X_{2}\right)\) are available, which do not include \(Y\), and if the regression of \(X_{2}\), given \(X_{1}\), is nonlinear, then one may