|
||||
|
||||
Banks, Market Organization, and Macroeconomic Performance: An Agent-Based Computational AnalysisQuamrul AshrafWilliams College - Department of Economics Boris GershmanAmerican University - Department of Economics Peter HowittBrown University - Department of Economics; National Bureau of Economic Research (NBER) June 2011 NBER Working Paper No. w17102 Abstract: This paper is an exploratory analysis of the role that banks play in supporting the mechanism of exchange. It considers a model economy in which exchange activities are facilitated and coordinated by a self-organizing network of entrepreneurial trading firms. Collectively, these firms play the part of the Walrasian auctioneer, matching buyers with sellers and helping the economy to approximate equilibrium prices that no individual is able to calculate. Banks affect macroeconomic performance in this economy because their lending activities facilitate entry of trading firms and also influence their exit decisions. Both entry and exit have conflicting effects on performance, and we resort to computational analysis to understand how they are resolved. Our analysis sheds new light on the conflict between micro-prudential bank regulation and macroeconomic stability. Specifically, it draws an important distinction between "normal" performance of the economy and "worst-case" scenarios, and shows that micro prudence conflicts with macro stability only in bad times. The analysis also shows that banks provide a "financial stabilizer" that in some respects can more than counteract the more familiar financial accelerator. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
Number of Pages in PDF File: 56 working papers seriesDate posted: June 6, 2011Suggested CitationContact Information
|
|
||||||||||||||||||
© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.
FAQ
Terms of Use
Privacy Policy
Copyright
This page was processed by apollo1 in 0.437 seconds