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Aggregate Consequences of Dynamic Credit Relationships

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  • Stephane Verani

    (Federal Reserve Board)

Abstract

Which financial frictions matter in the aggregate? This paper presents a general equilibrium model in which entrepreneurs finance a firm with a long-term contract. The contract is constrained efficient because firm revenue is costly to monitor and entrepreneurs may default. The cost of monitoring firms and the entrepreneurs' outside options determine the significance of moral hazard relative to limited enforcement for financial contracting. Calibrating the model to the U.S. economy, I find that the relative welfare loss from financial frictions is about 5 percent in terms of aggregate consumption with moral hazard, while it is 1 percent with limited enforcement. Reforms designed to strengthen contract enforcement increase aggregate consumption in the short-run, but their long-run effects are modest when monitoring costs are high. Weak contract enforcement contribute to aggregate fluctuations by amplifying the effect of aggregate technological shocks, but moral hazard does not.

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  • Stephane Verani, 2016. "Aggregate Consequences of Dynamic Credit Relationships," 2016 Meeting Papers 4, Society for Economic Dynamics.
  • Handle: RePEc:red:sed016:4
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    1. Till Gross & Stéphane Verani, 2012. "Financing Constraints, Firm Dynamics, and International Trade," Finance and Economics Discussion Series 2012-68, Board of Governors of the Federal Reserve System (U.S.).
    2. Jeremy Greenwood & Juan M. Sanchez & Cheng Wang, 2010. "Financing Development: The Role of Information Costs," American Economic Review, American Economic Association, vol. 100(4), pages 1875-1891, September.
    3. Jeremy Greenwood & Juan Sanchez & Cheng Wang, 2013. "Quantifying the Impact of Financial Development on Economic Development," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 194-215, January.
    4. Cesar Tamayo, 2017. "Bankruptcy Choice with Endogenous Financial Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 225-242, October.
    5. Martina BOBALOVA & Veronika NOVOTNA, 2021. "Modeling Of Time Delayed Processes In Business Economics," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 79-89, November.
    6. Yunzhi Hu & Felipe Varas, 2021. "A Theory of Zombie Lending," Journal of Finance, American Finance Association, vol. 76(4), pages 1813-1867, August.
    7. Roberto Steri & Lukas Schmid & Boris Nikolov, 2017. "Dynamic Financial Constraints: Which Frictions Matter for Corporate Policies?," 2017 Meeting Papers 630, Society for Economic Dynamics.
    8. Sebastian Dyrda, 2015. "Fluctuations in uncertainty, efficient borrowing constraints and firm dynamics," 2015 Meeting Papers 1243, Society for Economic Dynamics.

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    More about this item

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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