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. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) . They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) . 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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.3.1 by Pantelis Karapanagiotis, 7 months ago,

Report a bug at

Browse source code at

Authors: Pantelis Karapanagiotis [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports bbmle, dplyr, grid, magrittr, MASS, methods, rlang, systemfit, tibble, tidyr, png, Rcpp, RcppGSL, RcppParallel

Suggests ggplot2, knitr, numDeriv, rmarkdown, testthat

Linking to Rcpp, RcppGSL

System requirements: C++11

See at CRAN