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Assessing aggregate welfare: growth and inequality in Argentina

Gasparini, Leonardo et al · SEDICI UNLP · 2000

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This paper has two main goals. The first is to complement the Argentine mean income series with inequality estimates in order to obtain aggregate welfare series. Average income figures are estimated from National Accounts while income inequality indices are calculated from the Permanent Household Survey (EPH). Household income from the survey is adjusted for nonresponse, underreporting and demographics. The second objective of the article is to check the statistical significance of changes in inequality and welfare measures. Bootstrapping techniques are used to that aim. One of the main conclusions is that while welfare assessments coincide among different value judgments in some periods (e.g. 1991-1994), they widely vary in some others, particularly in the last four years (1994-1998), where the economy experienced moderate growth and large increases in inequality. It is argued that the period 1994-1998 provides an unprecedented laboratory for distinguishing the social preferences of different analysts according to their evaluation of the performance of the Argentine economy. Departamento de Economía

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APA 7

Gasparini, L. E. A. (2000). Assessing aggregate welfare: growth and inequality in Argentina. http://sedici.unlp.edu.ar/handle/10915/3507

MLA

Gasparini, Leonardo et al. "Assessing aggregate welfare: growth and inequality in Argentina." 2000. http://sedici.unlp.edu.ar/handle/10915/3507.

Chicago

Gasparini, Leonardo et al. 2000. "Assessing aggregate welfare: growth and inequality in Argentina.". http://sedici.unlp.edu.ar/handle/10915/3507.

Harvard

Gasparini, L. E. A. 2000, Assessing aggregate welfare: growth and inequality in Argentina, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/3507 [Accessed 29 Jun. 2026].

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Título
Assessing aggregate welfare: growth and inequality in Argentina
Autor / colaboradores
Gasparini, Leonardo et al
Editorial
SEDICI UNLP
Año de publicación
2000
Idioma
en

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