2012
DOI: 10.1016/j.econlet.2011.12.007
|View full text |Cite
|
Sign up to set email alerts
|

On estimation of the CES production function—Revisited

Abstract: Highlights-We propose three solutions to avoid serious problems when estimating CES functions.-Removing discontinuities by using the limits of the CES function and its derivatives.-Circumventing large rounding errors by local linear approximations.-Handling ill-behaved objective functions by a multi-dimensional grid search. Highlights On Estimation of the CES Production Function-Revisited AbstractEstimation of the non-linear Constant Elasticity of Scale (CES) function is generally considered problematic due t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
35
0
1

Year Published

2015
2015
2022
2022

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 50 publications
(36 citation statements)
references
References 10 publications
0
35
0
1
Order By: Relevance
“…However, since the Kmenta approximation cannot be used to linearise CES production functions with more than two factors of production [176], it is found only in our samples for two factor (capital-labour) studies [6,74,85], and is therefore not a valid estimation technique for the energy-extended (capital-labour-energy) CES function.…”
Section: Estimation Methodsmentioning
confidence: 97%
See 1 more Smart Citation
“…However, since the Kmenta approximation cannot be used to linearise CES production functions with more than two factors of production [176], it is found only in our samples for two factor (capital-labour) studies [6,74,85], and is therefore not a valid estimation technique for the energy-extended (capital-labour-energy) CES function.…”
Section: Estimation Methodsmentioning
confidence: 97%
“…Though complex, its popularity appears to be increasing, which may be due to the increased availability of econometric guidance [175], off-the-shelf programmes [30], and advances in computing power. A common method is a grid based search over relevant parameter ranges, such as that set out by Henningsen and Henningsen [30,176], and used by Heun et al [35]. Though non-linear techniques appear attractive to solve the inherently non-linear CES function, and have been found to perform better than linear alternatives [46]-care needs to be taken: for example Papageorgiou et al [171] (p. 26) note that "results of non-linear estimation procedures maybe sensitive to the choice of starting values of the estimation parameters".…”
Section: Estimation Methodsmentioning
confidence: 99%
“…Last, we obtain values for the six unknown parameters: θ, λ, δ, δ 1 , ρ, ρ 1 , by econometrically fitting Equation (6) using a customised version of the iterative, non-linear technique developed by Henningsen and Henningsen [90,91]. Two steps are completed.…”
Section: Econometric Fitting Of the Ces Aggregate Production Functionmentioning
confidence: 99%
“…Meanwhile, the estimation of the CES function by using non-linear methods cannot be performed very well due to the large flat surface of the objective function causing local minima, the discontinuity of the CES function, and considerable rounding errors of specific parameters, etc. (Henningsen and Henningsen, 2012).…”
Section: Data Sources and Empirical Resultsmentioning
confidence: 95%