A Standard Bank-Fund Projection Framework with CGE Features

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

A Standard Bank-Fund Projection Framework with CGE Features. / Jensen, Henning Tarp; Tarp, Finn.

I: Journal of Policy Modeling, Bind 28, Nr. 2, 2006.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Jensen, HT & Tarp, F 2006, 'A Standard Bank-Fund Projection Framework with CGE Features', Journal of Policy Modeling, bind 28, nr. 2.

APA

Jensen, H. T., & Tarp, F. (2006). A Standard Bank-Fund Projection Framework with CGE Features. Journal of Policy Modeling, 28(2).

Vancouver

Jensen HT, Tarp F. A Standard Bank-Fund Projection Framework with CGE Features. Journal of Policy Modeling. 2006;28(2).

Author

Jensen, Henning Tarp ; Tarp, Finn. / A Standard Bank-Fund Projection Framework with CGE Features. I: Journal of Policy Modeling. 2006 ; Bind 28, Nr. 2.

Bibtex

@article{c693b32e34604e0080fd0169d62c9b5a,
title = "A Standard Bank-Fund Projection Framework with CGE Features",
abstract = "In this paper, we present a SAM-based methodology for integrating standard CGE features with a macroeconomic World Bank–International Monetary Fund (IMF) modelling framework. The resulting macro–micro framework is based on optimising agents, but it retains key features from the macroeconomic model. We highlight that the integrated model is amenable to analyses of issues regarding poverty and income distribution, and present an application where the model is used to study a stylized macroeconomic model growth scenario for Mozambique. The integrated model projections demonstrate that the macroeconomic growth scenario overlooks an undesirable distributional impact. The integrated macroeconomic and CGE model framework is in conclusion identified as a superior modelling tool for analysing growth scenarios.",
author = "Jensen, {Henning Tarp} and Finn Tarp",
note = "Final Manuscript for Journal of Policy Modeling",
year = "2006",
language = "English",
volume = "28",
journal = "Journal of Policy Modeling",
issn = "0161-8938",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - A Standard Bank-Fund Projection Framework with CGE Features

AU - Jensen, Henning Tarp

AU - Tarp, Finn

N1 - Final Manuscript for Journal of Policy Modeling

PY - 2006

Y1 - 2006

N2 - In this paper, we present a SAM-based methodology for integrating standard CGE features with a macroeconomic World Bank–International Monetary Fund (IMF) modelling framework. The resulting macro–micro framework is based on optimising agents, but it retains key features from the macroeconomic model. We highlight that the integrated model is amenable to analyses of issues regarding poverty and income distribution, and present an application where the model is used to study a stylized macroeconomic model growth scenario for Mozambique. The integrated model projections demonstrate that the macroeconomic growth scenario overlooks an undesirable distributional impact. The integrated macroeconomic and CGE model framework is in conclusion identified as a superior modelling tool for analysing growth scenarios.

AB - In this paper, we present a SAM-based methodology for integrating standard CGE features with a macroeconomic World Bank–International Monetary Fund (IMF) modelling framework. The resulting macro–micro framework is based on optimising agents, but it retains key features from the macroeconomic model. We highlight that the integrated model is amenable to analyses of issues regarding poverty and income distribution, and present an application where the model is used to study a stylized macroeconomic model growth scenario for Mozambique. The integrated model projections demonstrate that the macroeconomic growth scenario overlooks an undesirable distributional impact. The integrated macroeconomic and CGE model framework is in conclusion identified as a superior modelling tool for analysing growth scenarios.

M3 - Journal article

VL - 28

JO - Journal of Policy Modeling

JF - Journal of Policy Modeling

SN - 0161-8938

IS - 2

ER -

ID: 164539683