The dynamics of consumer loans in 2020 in Argentina: An approach using error correction models

Working papers | 2022 | N 98

Authors

Keywords:

Consumer loans, COVID-19, Argentina, Credit cards, Personal loans

Abstract

With the aim of quantifying the effect of the decrease in interest rates on consumer loans (both credit cards and personal loans, in local currency to the non-financial private sector) in Argentina between March and December 2020, monthly error correction models are estimated, and counterfactual scenarios are developed for each of the credit lines. The sample that is used includes the period 2004-2020 and the determinants are the corresponding interest rates and economic activity measures. As an alternative case, it is assumed that interest rates would have been fixed in 2020 at the values of February that year and/or that the parameters of elasticities that operated in the consumer credit markets were those associated with the pre-COVID-19 context. The counterfactual scenarios implemented within the econometric models suggest that the decline in the interest rate would have cushioned, with different magnitudes throughout 2020, the fall caused by effects of the pandemic both in the credit cards and personal loans real balances.

JEL classification: C01, E21, E50

Portada documento de trabajo 98

Published

2022-01-19

How to Cite

Gómez Aguirre, M., & Krysa, A. (2022). The dynamics of consumer loans in 2020 in Argentina: An approach using error correction models: Working papers | 2022 | N 98. Working papers. retrieved from https://bcra.ojs.theke.io/documentos_de_trabajo/article/view/206

Issue

Section

Articles