Name File Type Size Last Modified
AER P&P 2022_Becker Ivashina_Code (Table 1, Figure 2, Figure 3).do text/plain 17.1 KB 05/05/2022 05:33:AM
All_data_Annual.dta application/x-stata-dta 1.4 MB 05/04/2022 05:03:AM
BankCap.dta application/x-stata-dta 73.7 KB 09/08/2021 10:01:AM
Lender list.dta application/x-stata-dta 383.3 KB 08/11/2021 01:24:PM
Read Me.pdf application/pdf 79.2 KB 05/04/2022 03:46:AM

Project Citation: 

Becker, Bo, and Ivashina, Victoria. Data and Code for: “Weak Corporate Insolvency Rules: The Missing Driver of Zombie Lending.” Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-05-23. https://doi.org/10.3886/E165001V1

Project Description

Summary:  View help for Summary Data/code files P&P 2022 study on Zombie lending in Europe. We argue that a substantial cost of restructuring insolvent firms will narrow borrowers’ and banks’ choices, and foster superficial or insufficient remedies, including zombie lending. We exploit the large variation in the quality of in-court insolvency procedures in Europe to estimate how zombie lending varies with the effectiveness of insolvency resolution.

Scope of Project

Subject Terms:  View help for Subject Terms Zombie Lending; Insolvency; Syndicated Loans
JEL Classification:  View help for JEL Classification
      E51 Money Supply; Credit; Money Multipliers
      G01 Financial Crises
      G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
      G33 Bankruptcy; Liquidation
Geographic Coverage:  View help for Geographic Coverage Europe, U.S.
Time Period(s):  View help for Time Period(s) 12/31/2003 – 12/31/2020 (Syndicated Loan data from Europe, U.S.)
Collection Date(s):  View help for Collection Date(s) 1/1/2021 – 12/31/2021 (2021)
Universe:  View help for Universe Syndicated Loans to U.S. and European borrowers from Dealscan.
Data Type(s):  View help for Data Type(s) event/transaction data
Collection Notes:  View help for Collection Notes Syndicated loans from Dealscan matched to borrower country statistics.


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