Macroeconomic effects of loan supply shocks: Empirical evidence for Peru

Jefferson Martínez, Gabriel Rodríguez

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1 Scopus citations

Abstract

This paper quantifies and assesses the impact of an adverse loan supply (LS) shock on Peru’s main macroeconomic aggre-gates using a Bayesian vector autoregressive (BVAR) model in combination with an identification scheme with sign restric-tions. The main results indicate that an adverse LS shock: (i) reduces credit and real GDP growth by 372 and 75 basis points in the impact period, respectively; (ii) explains 11.2% of real GDP growth variability on average over the following 20 quarters; and (iii) explained a 180-basis point fall in real GDP growth on average during 2009Q1-2010Q1 in the wake of the Global Financial Crisis (GFC). Additionally, the sensitivity analysis shows that the results are robust to alternative identification schemes with sign restrictions; and that an adverse LS shock has a greater impact on non-primary real GDP growth.

Original languageEnglish
Article number5
JournalLatin American Economic Review
Volume30
DOIs
StatePublished - 2021

Keywords

  • Banking System
  • Bayesian Autoregressive Vector Model
  • Loan Supply Shock
  • Peruvian Economy
  • Sign Restrictions

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