CRAN/E | diseq

diseq

Estimation Methods for Markets in Equilibrium and Disequilibrium

Installation

About

Superseded by package markets. 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. 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 diseq citation info
github.com/pi-kappa-devel/diseq/
diseq.pikappa.eu/
System requirements C++11
Bug report File report

Key Metrics

Version 0.4.6
R ≥ 3.5.0
Published 2022-06-01 694 days ago
Needs compilation? yes
License MIT
License File
CRAN checks diseq 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 diseq: Estimation Methods for Markets in Equilibrium and Disequilibrium

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

diseq archive

Depends

R ≥ 3.5.0

Imports

bbmle ≥ 1.0.20
dplyr ≥ 0.7.6
Formula
magrittr ≥1.5
MASS ≥ 7.3-50
methods
rlang ≥ 0.2.1
systemfit ≥ 1.1
tibble ≥ 1.4.2
tidyr ≥ 1.0.2
Rcpp
RcppGSL
RcppParallel

Suggests

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

LinkingTo

Rcpp
RcppGSL