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Project Description

Summary:  View help for Summary We employ loan-level data on over a million loans disbursed in India between 1995 and 2010 to understand how fast-changing regulation impacted mortgage lending and risk. Our paper uses changes in regulatory treatment discontinuities associated with loan size and leverage to detect regulation-induced loan delinquencies. We also find that an acceleration in the classification of assets as nonperforming resulted in substantially lower delinquency probabilities and losses given delinquency. (JEL D14, G21, G28, L51, O16, R31)

Scope of Project

Subject Terms:  View help for Subject Terms [Lending, Credit, Mortgage]
JEL Classification:  View help for JEL Classification
      D14 Household Saving; Personal Finance
      G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
      G28 Financial Institutions and Services: Government Policy and Regulation
      L51 Economics of Regulation
      O16 Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
      R31 Housing Supply and Markets
Geographic Coverage:  View help for Geographic Coverage India
Universe:  View help for Universe All mortgage loans from a major Indian lender.
Data Type(s):  View help for Data Type(s) [administrative records data, event/transaction data, program source code]

Methodology

Data Source:  View help for Data Source Confidential. Major Indian lender.
Unit(s) of Observation:  View help for Unit(s) of Observation Loan, Loan event

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