Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 Countries

Autores
Cicowiez, Martín; Lofgren, Hans
Año de publicación
2017
Idioma
español castellano
Tipo de recurso
documento de trabajo
Estado
versión enviada
Descripción
Social accounting matrices (SAMs) are the key data input for computable general equilibrium (CGE) models. After a brief introduction to SAMs, this paper presents a method and related computer program for constructing macro SAMs from cross-country databases. The method is demonstrated in an appendix where it is used to build such a SAM for Guinea in Excel. With the help of the program, macro SAMs were built for 133 countries, including many low-income and/or fragile countries. The SAMs and the code for the program are available in electronic form. A companion paper presents a CGE model with a user-friendly interface for which such SAMs provide the bulk of the data needed for macro applications.
Centro de Estudios Distributivos, Laborales y Sociales
Materia
Ciencias Económicas
Social Accounting Matrices
National accounts
Macroeconomic data
JEL: E01, E16, C82
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/125014

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spelling Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 CountriesCicowiez, MartínLofgren, HansCiencias EconómicasSocial Accounting MatricesNational accountsMacroeconomic dataJEL: E01, E16, C82Social accounting matrices (SAMs) are the key data input for computable general equilibrium (CGE) models. After a brief introduction to SAMs, this paper presents a method and related computer program for constructing macro SAMs from cross-country databases. The method is demonstrated in an appendix where it is used to build such a SAM for Guinea in Excel. With the help of the program, macro SAMs were built for 133 countries, including many low-income and/or fragile countries. The SAMs and the code for the program are available in electronic form. A companion paper presents a CGE model with a user-friendly interface for which such SAMs provide the bulk of the data needed for macro applications.Centro de Estudios Distributivos, Laborales y Sociales2017-12-15info:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/submittedVersionDocumento de trabajohttp://purl.org/coar/resource_type/c_8042info:ar-repo/semantics/documentoDeTrabajoapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/125014spainfo:eu-repo/semantics/altIdentifier/doi/10.1596/1813-9450-8273info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:29:53Zoai:sedici.unlp.edu.ar:10915/125014Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:29:53.421SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 Countries
title Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 Countries
spellingShingle Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 Countries
Cicowiez, Martín
Ciencias Económicas
Social Accounting Matrices
National accounts
Macroeconomic data
JEL: E01, E16, C82
title_short Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 Countries
title_full Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 Countries
title_fullStr Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 Countries
title_full_unstemmed Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 Countries
title_sort Building Macro SAMs from Cross-Country Databases : Method and Matrices for 133 Countries
dc.creator.none.fl_str_mv Cicowiez, Martín
Lofgren, Hans
author Cicowiez, Martín
author_facet Cicowiez, Martín
Lofgren, Hans
author_role author
author2 Lofgren, Hans
author2_role author
dc.subject.none.fl_str_mv Ciencias Económicas
Social Accounting Matrices
National accounts
Macroeconomic data
JEL: E01, E16, C82
topic Ciencias Económicas
Social Accounting Matrices
National accounts
Macroeconomic data
JEL: E01, E16, C82
dc.description.none.fl_txt_mv Social accounting matrices (SAMs) are the key data input for computable general equilibrium (CGE) models. After a brief introduction to SAMs, this paper presents a method and related computer program for constructing macro SAMs from cross-country databases. The method is demonstrated in an appendix where it is used to build such a SAM for Guinea in Excel. With the help of the program, macro SAMs were built for 133 countries, including many low-income and/or fragile countries. The SAMs and the code for the program are available in electronic form. A companion paper presents a CGE model with a user-friendly interface for which such SAMs provide the bulk of the data needed for macro applications.
Centro de Estudios Distributivos, Laborales y Sociales
description Social accounting matrices (SAMs) are the key data input for computable general equilibrium (CGE) models. After a brief introduction to SAMs, this paper presents a method and related computer program for constructing macro SAMs from cross-country databases. The method is demonstrated in an appendix where it is used to build such a SAM for Guinea in Excel. With the help of the program, macro SAMs were built for 133 countries, including many low-income and/or fragile countries. The SAMs and the code for the program are available in electronic form. A companion paper presents a CGE model with a user-friendly interface for which such SAMs provide the bulk of the data needed for macro applications.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-15
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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