<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Analysis with the Constant Elasticity of Substitution (CES)
Function</dc:title>
  <dc:title>R package micEconCES version 1.0-2</dc:title>
  <dc:subject>CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics)</dc:subject>
  <dc:description>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)
   &lt;doi:10.4337/9781788976480.00030&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.4.0), minpack.lm (&gt;= 1.1-4), DEoptim (&gt;= 2.0-4), car
(&gt;= 2.0-0)</dc:relation>
  <dc:relation>Imports: systemfit (&gt;= 1.0-0), micEcon (&gt;= 0.6-1), miscTools (&gt;= 0.6-1)</dc:relation>
  <dc:relation>Suggests: maxLik (&gt;= 0.8-0), xtable (&gt;= 1.5-6), AER (&gt;= 1.1-9)</dc:relation>
  <dc:creator>Arne Henningsen &lt;arne.henningsen@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Arne Henningsen and Geraldine Henningsen</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-01-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=micEconCES</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.micEconCES</dc:identifier>
</oai_dc:dc>
