Adverse selection, loan access and default behavior in the Chilean consumer debt market

Author:

Madeira CarlosORCID

Abstract

AbstractWhy do households use different types of loans? Which factors cause borrowers to default? Using a comprehensive survey dataset from Chile, I estimate a partial information model of consumer debt access, lender choice, loan amount and default. The model consists of a first-stage multinomial logit that explains the choice across the five loan types, plus the options of no access to debt due to credit constraints and a no wish for consumer debt. In the second and third stages, the model assumes a log-linear regression of the debt amount and a logit regression of the default behavior, accounting for the loan type selection probability. Identification is obtained using factors measured at different time periods for the default and the loan type choices. I find that households choose different lenders based on income, education and labor risks. Higher income and education decrease the probability of credit constraints, while increasing bank lending and debt amounts. Unemployment risk and household size increase the chances of all the loan types; however, unemployment decreases the debt amount. Age and wage volatility reduce the probability of all loans. Default decreases with income, education and age, whereas it increases with indebtedness, unemployment, household size, health shocks, and paying previous loans. Counterfactual exercises demonstrate that pension reform, higher requirements for borrowers’ capacities, and financial literacy programs could substantially reduce default risk. Financial literacy could greatly reduce arrears, households with credit constraints, the number of debtors and the aggregate debt amounts, especially for non-bank lending.

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Finance

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3