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Sample Selection and Treatment Effect Estimation of Lender of Last Resort Policies

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  • Angela Vossmeyer

Abstract

This article develops a framework for estimating multivariate treatment effect models in the presence of sample selection. The methodology deals with several important issues prevalent in policy and program evaluation, including application and approval stages, nonrandom treatment assignment, endogeneity, and discrete outcomes. This article presents a computationally efficient estimation algorithm and techniques for model comparison and treatment effects. The framework is applied to evaluate the effectiveness of bank recapitalization programs and their ability to resuscitate the financial system. The analysis of lender of last resort (LOLR) policies is not only complicated due to econometric challenges, but also because regulator data are not easily obtainable. Motivated by these difficulties, this article constructs a novel bank-level dataset and employs the new methodology to jointly model a bank’s decision to apply for assistance, the LOLR’s decision to approve or decline the assistance, and the bank’s performance following the disbursements. The article offers practical estimation tools to unveil new answers to important regulatory and policy questions.

Suggested Citation

  • Angela Vossmeyer, 2016. "Sample Selection and Treatment Effect Estimation of Lender of Last Resort Policies," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 197-212, April.
    • Handle: RePEc:taf:jnlbes:v:34:y:2016:i:2:p:197-212
    DOI: 10.1080/07350015.2015.1024837
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    Citations

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    Cited by:

    1. W. Blake Marsh & Padma Sharma, 2021. "Government Loan Guarantees during a Crisis: The Effect of the PPP on Bank Lending and Profitability," Research Working Paper RWP 21-03, Federal Reserve Bank of Kansas City.
    2. Price Fishback, 2017. "How Successful Was the New Deal? The Microeconomic Impact of New Deal Spending and Lending Policies in the 1930s," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1435-1485, December.
    3. Calomiris, Charles W. & Flandreau, Marc & Laeven, Luc, 2016. "Political foundations of the lender of last resort: A global historical narrative," Journal of Financial Intermediation, Elsevier, vol. 28(C), pages 48-65.
    4. Sizhong Sun, 2023. "Firm heterogeneity, worker training and labor productivity: the role of endogenous self-selection," Journal of Productivity Analysis, Springer, vol. 59(2), pages 121-133, April.
    5. Angela Vossmeyer, 2019. "Analysis of Stigma and Bank Credit Provision," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(1), pages 163-194, February.
    6. Fishback, Price & Fleitas, Sebastian & Rose, Jonathan & Snowden, Ken, 2020. "Collateral Damage: The Impact of Foreclosures on New Home Mortgage Lending in the 1930s," The Journal of Economic History, Cambridge University Press, vol. 80(3), pages 853-885, September.
    7. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.
    8. Sriya Anbil & Angela Vossmeyer, 2017. "Liquidity from Two Lending Facilities," Finance and Economics Discussion Series 2017-117, Board of Governors of the Federal Reserve System (U.S.).
    9. Sebastian Fleitas & Matthew Jaremski & Steven Sprick Schuster, 2023. "The U.S. Postal Savings System and the collapse of building and loan associations during the Great Depression," Southern Economic Journal, John Wiley & Sons, vol. 89(4), pages 1196-1215, April.
    10. Anbil, Sriya & Vossmeyer, Angela, 2021. "Liquidity from two lending facilities," Journal of Financial Intermediation, Elsevier, vol. 48(C).
    11. Amujala, Someswar & Vossmeyer, Angela & Das, Sanjiv R., 2023. "Digitization and data frames for card index records," Explorations in Economic History, Elsevier, vol. 87(C).
    12. Breitenlechner, Max & Mathy, Gabriel P. & Scharler, Johann, 2021. "Decomposing the U.S. Great Depression: How important were loan supply shocks?," Explorations in Economic History, Elsevier, vol. 79(C).
    13. Sanjiv R. Das & Kris James Mitchener & Angela Vossmeyer, 2022. "Bank Regulation, Network Topology, and Systemic Risk: Evidence from the Great Depression," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1261-1312, August.

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