Arbeitspapier

Aggregate consequences of credit subsidy policies: Firm dynamics and misallocation

Government policies that attempt to alleviate credit constraints faced by small and young firms are widely adopted across countries. We study the aggregate impact of such targeted credit subsidies in a heterogeneous firm model with collateral constraints and endogenous entry and exit. A defining feature of our model is a non-Gaussian process of firm-level productivity, which allows us to capture the skewed firm size distribution seen in the Business Dynamics Statistics (BDS). We compare the welfare and aggregate productivity implications of our non-Gaussian process to those of a standard AR(1) process. While credit subsidies resolve misallocation of resources and enhance aggregate productivity, increased factor prices, in equilibrium, reduce the number of firms in production, which in turn depresses aggregate productivity. We show that the latter indirect general equilibrium effects dominate the former direct productivity gains in a model with the standard AR(1) process, as compared to our non-Gaussian process, under which both welfare and aggregate productivity increase by subsidy policies.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 839

Classification
Wirtschaft
Investment; Capital; Intangible Capital; Capacity
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
Subject
misallocation
collateral constraints
firm dynamics
firm size

Event
Geistige Schöpfung
(who)
Jo, Hwan
Senga, Tatsuro
Event
Veröffentlichung
(who)
Queen Mary University of London, School of Economics and Finance
(where)
London
(when)
2017

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Jo, Hwan
  • Senga, Tatsuro
  • Queen Mary University of London, School of Economics and Finance

Time of origin

  • 2017

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