GEMPACK is a suite of general-purpose economic modelling software especially suitable for general and partial equilibrium models. It can handle a wide range of economic behaviour and also contains a versatile method for solving intertemporal models. GEMPACK provides software for calculating accurate solutions of an economic model, starting from an algebraic representation of the equations of the model. These equations can be written as levels equations, linearized equations or a mixture of these two. The software provides a range of utility programs for handling the economic data base and the results of simulations, and is fully documented from a user’s point of view. GEMPACK is used to implement and solve a number of economic models including several single-country models (of which the ORANI model of Australia is perhaps the best known), multi-country trade models, regional models and intertemporal (or dynamic) models. GEMPACK runs on a wide variety of computers including PCs, workstations and mainframes. This paper gives an overview of the current release of GEMPACK (Release 5.1, April 1994). Included are descriptions of: the algebra-like language used to describe and document the equations of an economic model; the operation of the pre-processor TABLO which converts the equations of the model of a form suitable for computing solutions of the model; the solution methods used for producing accurate solutions of the model; the facilities for specifying and carrying out simulations, including the options for varying the choice of endogenous and exogenous variables and the variables shocked; the condensation facility which makes it possible to solve very large models; the utility programs for assisting in managing the data bases on which models are based; the different versions of GEMPACK and the machines on which they run.

References in zbMATH (referenced in 15 articles , 1 standard article )

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  1. Britz, Wolfgang; Kallrath, Josef: Economic simulation models in agricultural economics: the current and possible future role of algebraic modeling languages (2012)
  2. Bussieck, Michael R.; Ferris, Michael C.; Meeraus, Alexander: Grid-enabled optimization with GAMS (2009)
  3. Chen, Hung-Ju; Hsu, Chen-Min: Current account, capital formation and terms of trade shocks: a revisit of the Harberger-Laursen-Metzler effect (2006)
  4. Roson, Roberto: Introducing imperfect competition in CGE models: Technical aspects and implications (2006)
  5. Böhringer, Christopher; Rutherford, Thomas F.: Who should pay how much? (2004)
  6. Harrison, W.Jill; Horridge, Mark; Pearson, K.R.; Wittwer, Glyn: A practical method for explicitly modeling quotas and other complementarities (2004)
  7. Kim, K.; Moon, S.-W.: Foreign reserve crisis and the Korean industrial structure -- a CGE approach (2001)
  8. Harrison, W.Jill; Horridge, J.Mark; Pearson, K.R.: Decomposing simulation results with respect to exogenous shocks (2000)
  9. Rutherford, Thomas F.: Applied general equilibrium modeling with MPSGE as a GAMS subsystem: An overview of the modeling framework and syntax (1999)
  10. Wendner, Ronald: A calibration procedure of dynamic CGE model for non-steady state situations using GEMPACK (1999)
  11. Dixon, Peter B.; Parmenter, B. R.: Computable general equilibrium modelling for policy analysis and forecasting (1996)
  12. Harrison, W.Jill; Pearson, K.R.: Computing solutions for large general equilibrium models using GEMPACK (1996)
  13. Harrison, W.Jill; Pearson, K.R.; Powell, Alan A.: Features of multiregional and intertemporal AGE modelling with GEMPACK (1996)
  14. Wang, Zhi; Slagle, James: An object-oriented knowledge-based approach for formulating applied general equilibrium models (1995)
  15. Harrison, W.Jill; Pearson, K.R.; Powell, Alan A.; Small, E.John: Solving applied general equilibrium models represented as a mixture of linearized and levels equations (1994)