CRAN/E | markets

markets

Estimation Methods for Markets in Equilibrium and Disequilibrium

Installation

About

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.

Citation markets citation info
github.com/pi-kappa-devel/markets/
markets.pikappa.eu/
Bug report File report

Key Metrics

Version 1.1.5
R ≥ 4.1.0
Published 2024-02-17 69 days ago
Needs compilation? yes
License MIT
License File
CRAN checks markets results
Language en-US

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Maintainer

Maintainer

Pantelis Karapanagiotis

pikappa.devel@gmail.com

Authors

Pantelis Karapanagiotis

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Some examples of use-cases using the market models of the package
An example of market-clearing assessment
Model initialization and estimation details
The R Package markets: Estimation Methods for Markets in Equilibrium and Disequilibrium

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

markets archive

Depends

R ≥ 4.1.0

Imports

dplyr ≥ 0.7.6
Formula
MASS ≥ 7.3-50
methods
rlang ≥ 0.2.1
Rcpp
RcppGSL
RcppParallel
stats

Suggests

ggplot2 ≥ 3.0.0
knitr ≥ 1.20
numDeriv ≥2016.8.1.1
rmarkdown ≥ 1.10
testthat ≥ 2.0.0

LinkingTo

Rcpp
RcppGSL