This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/19664
Description
Title
Wages, growth and cycles in the Brazilian economy
Author(s)
Barros, Alexandre Ranos Coelho
Issue Date
1991
Doctoral Committee Chair(s)
Baer, Werner W.
Department of Study
Economics
Discipline
Economics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Economics, Labor
Economics, Theory
Language
eng
Abstract
Brazilian economic development is marked by the reproduction of a very unequal income distribution profile. This has been justified by theories which prescribe the optimal allocation of resources and full employment of factors of production. Supposedly, a higher rate of economic growth is reached by this development model. This dissertation criticizes this view, using the argument that the Brazilian economy does not operate with optimal allocation of resources and with the full employment of factors. It is argued that lack of effective demand is an obstacle for the Brazilian economic growth. Since the propensity to consume from wages is higher than the one from profit, a redistribution of income towards wages can lead to higher economic growth. The originality of this dissertation is in the use of some new macroeconometric methods to criticize the former position and support the latter. More precisely, a macroeconometric model, with very few theoretical assumptions, is used to show that a redistribution of income towards wages can improve the macroeconomic performance of the Brazilian economy.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
