Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/321733 
Authors: 
Year of Publication: 
2021
Citation: 
[Journal:] Bio-based and Applied Economics (BAE) [ISSN:] 2280-6172 [Volume:] 10 [Issue:] 3 [Year:] 2021 [Pages:] 219-238
Publisher: 
Firenze University Press, Florence
Abstract: 
Based on data mainly from the International Comparison Program for 156 countries, we conduct a global cross-sectional estimation of an extended rank-3 MAIDADS demand system for nineteen commodity groups including agri-food detail for integration in a Computable General Equilibrium model. We render both marginal budget shares and commitment terms depending on the implicit utility level and consider age shares on the population, the Gini-Coefficient, the share of Islamic population, a sea access indicator and mean temperatures as further explanatory variables. We find that especially demographic factors, the share of Islamic population and mean temperature considerably improve model selection statistics and the fit of commodity groups with a low fit in a variant where prices and income only are used. Graphics of the estimated Engel curves, with details for agro-food commodity groups, highlight income dynamics of budget shares.
Subjects: 
demand system estimation
AIDADS
General Equilibrium Modelling
JEL: 
D12
C33
C68
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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