Kernel density decomposition with an application to the social cost of carbon
Richard Tol ()
Working Paper Series from Department of Economics, University of Sussex Business School
A kernel density is an aggregate of kernel functions, which are itself densities and could be kernel densities. This is used to decompose a kernel into its constituent parts. Pearson's test for equality of proportions is applied to quantiles to test whether the component distributions differ from one another. The proposed methods are illustrated with a meta-analysis of the social cost of carbon. Different discount rates lead to significantly different Pigou taxes, but not different growth rates. Estimates have not varied over time. Different authors have contributed different estimates, but these differences are insignificant. Kernel decomposition can be applied in many other fields with discrete explanatory variables.
Keywords: social cost of carbon; kernel density; decomposition; discrete explanatory variables (search for similar items in EconPapers)
JEL-codes: C14 Q54 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ene, nep-env and nep-ore
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