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:
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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')) |
Bug tracker:https://github.com/pi-kappa-devel/markets/issues
Pkgdown site:https://markets.pikappa.eu
disequilibriumeconomicsfinancefull-information-maximum-likelihoodmarket-clearingmarket-modelsshort-side-rulecpp
Last updated 12 months agofrom:576e5a51af. Checks:1 ERROR, 8 WARNING. Indexed: yes.
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R-4.5-win-x86_64 | WARNING | Jan 13 2025 |
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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.Rmd
usingknitr::rmarkdown
on Jan 13 2025.Last update: 2022-07-07
Started: 2020-06-27
Model initialization and estimation details
Rendered frommodel_details.Rmd
usingknitr::rmarkdown
on Jan 13 2025.Last update: 2022-07-07
Started: 2022-01-08
Some examples of use-cases using the market models of the package
Rendered frombasic_usage.Rmd
usingknitr::rmarkdown
on Jan 13 2025.Last update: 2022-07-07
Started: 2020-01-03
The R Package markets: Estimation Methods for Markets in Equilibrium and Disequilibrium
Rendered frompackage.Rmd
usingknitr::rmarkdown
on Jan 13 2025.Last update: 2024-02-16
Started: 2021-05-11
Readme and manuals
Help Manual
Help page | Topics |
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