NONLINEAR ESTIMATION OF AGGREGATE PRODUCTION FUNCTIONS.

The Cobb-Douglas form for the economy-wide production function has been popular, in both theoretical and empirical analyses. Production functions and associated marginal productivity relations are essentially non-linear relationships, but this aspect has been disguised or circumvented by transformat...

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Detalles Bibliográficos
Publicado en:Review of Economics & Statistics Vol. 49; no. 1; pp. 28 - 45
Autores principales: Bodkin, Ronald G., Klein, Lawrence R.
Formato: Artículo
Publicado: MIT Press Feb67
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:The Cobb-Douglas form for the economy-wide production function has been popular, in both theoretical and empirical analyses. Production functions and associated marginal productivity relations are essentially non-linear relationships, but this aspect has been disguised or circumvented by transformation of variables and stepwise procedures of estimation. With the help of new computer programs being developed, it intend to cut through these nonlinearities to obtain direct estimates of the parameters, through the use of nonlinear methods. Maximum likelihood estimation of parameters in a system of equations follows the same principles. Even if the equations to be estimated are linear, the joint likelihood function will generally lead to nonlinear estimation equations. Hence, essentially the same methods that have been used for solving the nonlinear estimation equations of maximum likelihood estimation for a system of linear structural equations can be employed in the treatment of a nonlinear structural system.