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PAYROLL LOANS AND ITS RELATIONSHIP WITH THE AGGREGATE ECONOMIC ACTIVITY (2004-2014)

CRÉDITO CONSIGNADO E SUA RELAÇÃO COM A ATIVIDADE ECONÔMICA AGREGADA (2004-2014)

LA RELACIÓN ENTRE PRÉSTAMOS DE NÓMINA Y LA ACTIVIDAD ECONÓMICA AGREGADA (2004-2014)

ABSTRACT

Purpose:

Identify the relationship between the granting of payroll loans and macroeconomic aggregates, from 2004 to 2014, through an analysis of the influence of this type of credit on the aggregate economic activity in Brazil.

Originality/gap/relevance/implications:

Payroll loans are very representative in the Brazilian credit market, and the discussion on this topic is very extensive, because it is directly linked to the economic growth of a country. However, there is a gap in the literature on this subject, since most studies stress behavioral finances, or the legal aspects of contracts, and also because this type of credit is recent in the Brazilian economy.

Key methodological aspects:

This is quantitative approach performed through the estimation of the Vector Error Correction Model (VECM), which enabled the computation of impulse-response functions, the variance decomposition and the Granger causality test.

Summary of key results:

The results indicate that the granting of payroll loans causes an increase on macroeconomic aggregates in the short term, but over longer periods of time this increase tends to be eliminated.

Key considerations/conclusions:

The granting of payroll loans influences the behavior of the economic activity. However, despite the fact that its concession provides leverage in the short term, this growth is not sustainable in the long-term. In this scenario, there is exponential growth in household consumption over the past decade; however, the industry productivity and the investments did not follow this evolution. It is inferred from this that the current growth model generates expansion, but its effects are limited.

KEYWORDS
Payroll loans; Credit market; Macroeconomic aggregates; Brazilian economy; Vector error correction model

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