Package: markets 1.1.5

markets: Estimation Methods for Markets in Equilibrium and Disequilibrium

Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. See Karapanagiotis (2024) <doi:10.18637/jss.v108.i02> for an overview of the functionality and examples. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. Instead, the disequilibrium models replace the market-clearing condition with a non-linear, short-side rule and allow for different specifications of price dynamics.

Authors:Pantelis Karapanagiotis [aut, cre]

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|markets.html
markets/json (API)
NEWS

# Install 'markets' in R:
install.packages('markets', repos = c('https://pi-kappa-devel.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pi-kappa-devel/markets/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

    On CRAN:

    disequilibriumeconomicsfinancefull-information-maximum-likelihoodmarket-clearingmarket-modelsshort-side-rule

    4.30 score 1 stars 9 scripts 211 downloads 40 exports 21 dependencies

    Last updated 9 months agofrom:576e5a51af. Checks:ERROR: 1 WARNING: 8. Indexed: yes.

    TargetResultDate
    Doc / VignettesFAILNov 14 2024
    R-4.5-win-x86_64WARNINGNov 14 2024
    R-4.5-linux-x86_64WARNINGNov 14 2024
    R-4.4-win-x86_64WARNINGNov 14 2024
    R-4.4-mac-x86_64WARNINGNov 14 2024
    R-4.4-mac-aarch64WARNINGNov 14 2024
    R-4.3-win-x86_64WARNINGNov 14 2024
    R-4.3-mac-x86_64WARNINGNov 14 2024
    R-4.3-mac-aarch64WARNINGNov 14 2024

    Exports:aggregate_demandaggregate_supplycoefcoefficientsdemand_descriptivesdemanded_quantitiesdescribediseq_basicdiseq_deterministic_adjustmentdiseq_directionaldiseq_stochastic_adjustmentequilibrium_modelestimatefair_housesformulagradienthessianlog_likelihoodlogLikmarket_typenamencoefnobsnormalized_shortagesplotrelative_shortagesscoresshortage_indicatorsshortage_marginalshortage_probabilitiesshortage_probability_marginalshortage_standard_deviationshortagesshowsimulate_datasimulate_modelsummarysupplied_quantitiessupply_descriptivesvcov

    Dependencies:clidplyrfansiFormulagenericsgluelifecyclemagrittrMASSpillarpkgconfigR6RcppRcppGSLRcppParallelrlangtibbletidyselectutf8vctrswithr

    An example of market-clearing assessment

    Rendered frommarket_clearing_assessment.Rmdusingknitr::rmarkdownon Nov 14 2024.

    Last update: 2022-07-07
    Started: 2020-06-27

    Model initialization and estimation details

    Rendered frommodel_details.Rmdusingknitr::rmarkdownon Nov 14 2024.

    Last update: 2022-07-07
    Started: 2022-01-08

    Some examples of use-cases using the market models of the package

    Rendered frombasic_usage.Rmdusingknitr::rmarkdownon Nov 14 2024.

    Last update: 2022-07-07
    Started: 2020-01-03

    The R Package markets: Estimation Methods for Markets in Equilibrium and Disequilibrium

    Rendered frompackage.Rmdusingknitr::rmarkdownon Nov 14 2024.

    Last update: 2024-02-16
    Started: 2021-05-11