Package: micEconCES 1.0-2
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:
micEconCES_1.0-2.tar.gz
micEconCES_1.0-2.zip(r-4.7)micEconCES_1.0-2.zip(r-4.6)micEconCES_1.0-2.zip(r-4.5)
micEconCES_1.0-2.tgz(r-4.6-any)micEconCES_1.0-2.tgz(r-4.5-any)
micEconCES_1.0-2.tar.gz(r-4.7-any)micEconCES_1.0-2.tar.gz(r-4.6-any)
micEconCES_1.0-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
micEconCES/json (API)
NEWS
| # Install 'micEconCES' in R: |
| install.packages('micEconCES', repos = c('https://micecon.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/micecon/miceconces/issues
- GermanIndustry - Aggregated Time Series Data for the West German Industry
- MishraCES - Mishra's (2006) CES data
Last updated from:a91e3aa8ff. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 171 | ||
| source / vignettes | OK | 312 | ||
| linux-release-x86_64 | OK | 161 | ||
| macos-release-arm64 | OK | 153 | ||
| macos-oldrel-arm64 | OK | 189 | ||
| windows-devel | OK | 136 | ||
| windows-release | OK | 104 | ||
| windows-oldrel | OK | 117 | ||
| wasm-release | OK | 114 |
Dependencies:abindbackportsbdsmatrixbootbroomcarcarDataclicollapsecolorspacecowplotcpp11DEoptimDerivdigestdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmaxLikmgcvmicEconmicrobenchmarkminpack.lmminqamiscToolsmodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplmpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivalsystemfittibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate CES function | cesCalc |
| Estimate a CES function | cesEst print.cesEst |
| Methods for Estimated CES Functions | coef.cesEst coef.summary.cesEst fitted.cesEst residuals.cesEst vcov.cesEst |
| Durbin Watson Test for Estimated CES Functions | durbinWatsonTest.cesEst dwt.cesEst |
| Aggregated Time Series Data for the West German Industry | GermanIndustry |
| Mishra's (2006) CES data | MishraCES |
| Plot RSSs of a CES Function Estimated by Grid Search | plot.cesEst |
| Summarize Estimation of a CES Function | print.summary.cesEst summary.cesEst |
