SAM multipliers and inequality measurement

Abstract

Atkinson and Bourguignon (2000) ‘lack research that integrates distribution centrally into the examination of how the economics works’. To fill in such lack this study put in touch recent developments from Inequality Measurement and National Accounting literatures. This paper presents a reduced and rearranged Social Accounting Matrix (SAM) taking forward chapter 20 of SNA93 and after showing the limits of Jacobi multipliers to analyse inequality, this study proposes the calculation of border norms when distributive judgements are not robust.

Linear SAM models for inequality changes analysis: an application to the Extremadurian economy

“…This question has already exposed by Atkinson and Bourguignon (2000), who argued that income distribution should be integrate into economic analysis. Some attempts for solving this lack can be found in Rubio Sanz and Vicente (2003), where SAM multipliers and inequality measurement were put in touch in a country-level analysis. On the other hand, computable general equilibrium models have been applied to analyse the relationship between economic growth and income inequality - Hanson and Rose (1997) -or the effects on income distribution of several energy taxation measures - Yang (2000).…”

Regional evaluation of a tax on the retail sales of certain fuels through a social accounting matrix

“…The goal of this article is to calculate the cumulative impact of the IVMH and its effects on some fundamental economic variables, on the price indices and on remaining tax collections. Following Rubio Sanz and Perdiz (2003) applications using a social accounting matrix (SAM), the novel aspect of this work is not to use a Computable General Equilibrium model (CGE) to analyse indirect taxes as Llop and Manresa (2004). We follow as methodology, a very simple price model applied to a regional SAM -instead of a input-output table -done for Andalusia (Cardenete and Sancho, 2003) where we introduce a new indirect tax, obtaining relevant results, in aggregate levels, to other similar studies done using, i.e.…”