Arbeitspapier

O crédito imobiliário no Brasil e sua relação com a política monetária

Switching model, we estimate the demand for mortgage using aggregate monthly data from January 2003 to September 2012. The results show that this variable has been subject to cycles of contraction and expansion since 2003. The boom starts at the end of 2005 is marked by the alternation of two distinct regimes. The first one that concentrates between late 2005 until early 2009 seems to be driven by factors pro-market resulting from changes in legislation, economic growth, rising in real income, etc. The situation changes at the beginning of 2009 when the condition of the demand for mortgage is mainly motivated by countercyclical measures adopted by the federal government with the aim of mitigating the effects of the world economic crisis of 2007-2008. The recessive phase of the credit cycle is linked to a single regime that extends until 2005 returning around March 2012 when the series of credit seems to slow down. We also applied the structural VAR model with the purpose of evaluating the effect of a monetary policy shock on the demand mortgage. According to the results, a contractionary shock produces a negative effect on real estate. We note a continuous and sharp decline in mortgage demand, price home, industrial output construction as well as a rising on defaults.

Language
Portugiesisch

Bibliographic citation
Series: Texto para Discussão ; No. 1909

Classification
Wirtschaft
Business Fluctuations; Cycles
Production Analysis and Firm Location: Government Policy
Subject
mortgage choice
reverse causality
Markov Switching model
structural VAR
directed acyclic graph

Event
Geistige Schöpfung
(who)
Mendonça, Mário Jorge
Event
Veröffentlichung
(who)
Instituto de Pesquisa Econômica Aplicada (IPEA)
(where)
Brasília
(when)
2013

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Mendonça, Mário Jorge
  • Instituto de Pesquisa Econômica Aplicada (IPEA)

Time of origin

  • 2013

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