Package: micEconCES 1.0-2

Arne Henningsen

micEconCES: Analysis with the Constant Elasticity of Substitution (CES) Function

Tools for econometric analysis and economic modelling with the traditional two-input Constant Elasticity of Substitution (CES) function and with nested CES functions with three and four inputs. The econometric estimation can be done by the Kmenta approximation, or non-linear least-squares using various gradient-based or global optimisation algorithms. Some of these algorithms can constrain the parameters to certain ranges, e.g. economically meaningful values. Furthermore, the non-linear least-squares estimation can be combined with a grid-search for the rho-parameter(s). The estimation methods are described in Henningsen et al. (2021) <doi:10.4337/9781788976480.00030>.

Authors:Arne Henningsen and Geraldine Henningsen

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micEconCES.pdf |micEconCES.html✨
micEconCES/json (API)
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Bug tracker:https://github.com/micecon/miceconces/issues

On CRAN:

2 exports 1 stars 0.87 score 75 dependencies 14 scripts 598 downloads

Last updated 2 years agofrom:a91e3aa8ff. Checks:OK: 7. Indexed: yes.

Exports:cesCalccesEst

Dependencies:abindbackportsbdsmatrixbootbroomcarcarDataclicollapsecolorspacecowplotcpp11DEoptimDerivdigestdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmaxLikmgcvmicEconmicrobenchmarkminpack.lmminqamiscToolsmodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplmpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackrlangsandwichscalesSparseMstringistringrsurvivalsystemfittibbletidyrtidyselectutf8vctrsviridisLitewithrzoo