Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina

This paper uses survey-based data of the Argentinian province of Córdoba to conduct an empirical test of the performance of the Flegg´s location quotient (FLQ) and augmented FLQ (AFLQ) formulae for estimating regional input coefficients. A comparison is made with conventional methods based on locati...

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Detalhes bibliográficos
Autores: Flegg, Anthony, Mastronardi, Leonardo, Romero, Carlos Adrián
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/42839
Acesso em linha:http://hdl.handle.net/11336/42839
Access Level:acceso abierto
Palavra-chave:Regional Input-Output Tables
Argentina
Location Quotients
Flq-Aflq
https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
Descrição
Resumo:This paper uses survey-based data of the Argentinian province of Córdoba to conduct an empirical test of the performance of the Flegg´s location quotient (FLQ) and augmented FLQ (AFLQ) formulae for estimating regional input coefficients. A comparison is made with conventional methods based on location quotients. The possibility of using prior information about the extent of self-sufficiency of particular sectors is explored. The empirical work employs a range of statistical criteria with contrasting properties, and examines performance in terms of each method´s ability to estimate regional input coefficients, output multipliers and imports. Particular attention is paid to the problem of choosing a value for the unknown parameter δ in the FLQ and AFLQ formulae. These formulae are found to give the best overall results of the non-survey methods considered in the paper. However, the AFLQ typically produces slightly more accurate results than the FLQ, in line with the findings of previous studies.