Expense Relation Analysis in Social Program Welfare in Brazil - Using macroeconomic variables through ARMAX and VAR/VEC methodologies

by de Senna, Viviane
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de Senna, Viviane Expense Relation Analysis in Social Program Welfare in Brazil - Using macroeconomic variables through ARMAX and VAR/VEC methodologies
de Senna, Viviane - Expense Relation Analysis in Social Program Welfare in Brazil - Using macroeconomic variables through ARMAX and VAR/VEC methodologies

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Description

The Federal Constitution of 1988 was the first in Brazil to refer to social inequalities and social assistance as a public policy. Currently there are several programs that assist the population living in extreme poverty. Among the existing programs, the best known are the "Programa Bolsa Família" and the "Benefício de Prestação Continuada" that have as their main task the transfer of minimum necessary income to families that fall within the pre-established criteria by the govern and registered in the Unified Register for Programs social. This study aims to examine the relationship between the main macroeconomic variables and spending on social welfare policy of the federal government in the period from January 2004 to August 2014. The methodology to be employed to achieve this goal is: the autoregressive moving average model with ARMAX exogenous variable, the Vector autoregression model - VAR, the Granger causality test, cointegration test Johansen and Error Correction Vector - VEC. The conclusions reached were positive for significant relationships between macroeconomic variables and social assistance programs, i.e., programs influence the Brazilian economy.

Contributors

Author:
de Senna, Viviane
Souza, Adriano

Further information

Biography Artist:
Viviane de Senna has a degree in administration at Centro Universitário Franciscano,Unifra and Master in Industrial Engineering at UFSM,Brazil.Viviane is teacher at Faculdade de Direito de Santa Maria,Fadisma. Adriano M. Souza is a Mathematician,got a Master and Ph.D.in Industrial Engineering.Since 1991 he teaches at Statistics Department at UFSM.
Language:
Englisch
Number of Pages:
56
Media Type:
Taschenbuch
Publisher:
Éditions universitaires européennes

Master Data

Product Type:
Paperback book
Release date:
23 February 2017
Package Dimensions:
0.22 x 0.15 x 0.003 m; 0.132 kg
GTIN:
09783639620603
DUIN:
JK3BNSJ9MHV
£18.99
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