Abstract

 


 



Specifications for Consumption Function: Tests for South American Countries (Especificaoes para a Funcao Consumo: Testes para Paises da America do Sul)


Fabio Augusto Reis Gomes


Getulio Vargas Foundation (FGV) - Graduate School of Economics

Lourenço Senne Paz


Syracuse University


Pesquisa e Planejamento Econoomico, Vol. 34, No. 1, April 2004

Abstract:     
The main goal of this paper is to study the applicability of the Keynesian, Permanent Income and Rational Expectations, and Mankiw and Campbell's (1989) Hybrid Model of Consumption Theory, using a panel data sample of South American countries, including Argentina, Brazil, Chile, Colombia, Peru, Paraguay, and Uruguay. Due to the fact that these theories present distinct predictions, when evaluating the consumption behavior, we try to discuss which one fits better in the data. The Hybrid Model, that considers the possibility of credit constraints, was the model that had the best fit. Thus, we estimated the income share that belonged to credit constrained households in each country. Argentina and Chile were the countries that presented the largest share of credit constrained income, while Peru was the country with the smallest share of credit constrained income.

Keywords: Consumption, Permanent Income Theory, Credit Constraint, South

JEL Classification: C23, C52, E21, N36

Accepted Paper Series


Date posted: April 13, 2005  

Suggested Citation

Gomes, Fabio Augusto Reis and Paz, Lourenço Senne, Specifications for Consumption Function: Tests for South American Countries (Especificaoes para a Funcao Consumo: Testes para Paises da America do Sul). Pesquisa e Planejamento Econoomico, Vol. 34, No. 1, April 2004. Available at SSRN: http://ssrn.com/abstract=700261

Contact Information

Fabio Augusto Reis Gomes (Contact Author)
Getulio Vargas Foundation (FGV) - Graduate School of Economics ( email )
Praia de Botafogo 190/1125, CEP
Rio de Janeiro RJ 22253-900
Brazil
Lourenço Senne Paz
Syracuse University ( email )
110 Eggers Hall
Syracuse, NY 13244
United States
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