Capital-labour-energy substitution in a nested CES framework: A replication and update of Kemfert (1998)
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Capital-labour-energy substitution in a nested CES framework : A replication and update of Kemfert (1998). / Henningsen, Arne; Henningsen, Geraldine; van der Werf , Edwin .
In: Energy Economics, Vol. 82, 2019, p. 16-25.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Capital-labour-energy substitution in a nested CES framework
T2 - A replication and update of Kemfert (1998)
AU - Henningsen, Arne
AU - Henningsen, Geraldine
AU - van der Werf , Edwin
PY - 2019
Y1 - 2019
N2 - The ease with which firms can substitute away from energy to other inputs is an important determining factor in the costs of climate change mitigation policies. Climate policy simulation models usually represent this substitutability by using the Constant Elasticity of Substitution (CES) function with parameter values often taken from econometric studies. Hence, the accuracy of the estimated substitution parameters has a strong influence on the validity of the climate policy simulation. In this article, we attempt to replicate the results presented in a widely cited article in this field: Kemfert (1998) (‘Estimated substitution elasticities of a nested CES production function approach for Germany’, Energy Economics, 20, 249–264). We first use the data and software reported in that article and compare our results with those reported in the original study. We then test the same data and a new, more recent, data set on German industrial data with an improved econometric approach. Despite applying various approaches and modifications, we are not able to replicate the results in Kemfert (1998). We furthermore conclude that the data sets that are typically used to estimate nested CES functions often have too few observations and too little independent variation of the explanatory variables to obtain reliable estimates when using a direct non-linear approach.
AB - The ease with which firms can substitute away from energy to other inputs is an important determining factor in the costs of climate change mitigation policies. Climate policy simulation models usually represent this substitutability by using the Constant Elasticity of Substitution (CES) function with parameter values often taken from econometric studies. Hence, the accuracy of the estimated substitution parameters has a strong influence on the validity of the climate policy simulation. In this article, we attempt to replicate the results presented in a widely cited article in this field: Kemfert (1998) (‘Estimated substitution elasticities of a nested CES production function approach for Germany’, Energy Economics, 20, 249–264). We first use the data and software reported in that article and compare our results with those reported in the original study. We then test the same data and a new, more recent, data set on German industrial data with an improved econometric approach. Despite applying various approaches and modifications, we are not able to replicate the results in Kemfert (1998). We furthermore conclude that the data sets that are typically used to estimate nested CES functions often have too few observations and too little independent variation of the explanatory variables to obtain reliable estimates when using a direct non-linear approach.
U2 - 10.1016/j.eneco.2017.12.019
DO - 10.1016/j.eneco.2017.12.019
M3 - Journal article
VL - 82
SP - 16
EP - 25
JO - Energy Economics
JF - Energy Economics
SN - 0140-9883
ER -
ID: 190436437