Computational approach to finding causal economic laws

被引:21
作者
Chang, I-Lok
Swamy, P.A.V.B.
Hallahan, Charles
Tavlas, George S.
机构
[1] TheAmerican University,Department of Mathematics and Statistics
[2] Bank Research Unit,Office of the Comptroller of theCurrency
[3] Economics Research Service,United States Department ofAgriculture
[4] Bank of Greece,undefined
[5] Athens,undefined
[6] Greece and International MonetaryFund,undefined
关键词
realities of econometric model building; causality; random coefficient models; nonlinear programming;
D O I
10.1023/A:1008709704755
中图分类号
学科分类号
摘要
This paper states four realities of econometric model building and shows that an econometric model can be causal only if the interpretations given to its coefficients are consistent with these realities. A numerically stable algorithm for estimating such a model subject to equality and inequality constraints on the model parameters is presented. This algorithm is designed in such a way that it can be applied even when the matrix of observations on the model's independent variables and the covariance matrix of the model's errors are deficient in rank.
引用
收藏
页码:105 / 136
页数:31
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