A DISEQUILIBRIUM MODEL FOR LEI-DENOMINATED NON-GOVERNMENTAL CREDIT IN ROMANIA
Florin Dănănău
SEA - Practical Application of Science, 2015, issue 7, 207-214
Abstract:
We empirically investigate through an econometric approach the Romanian credit market, namely the lei-denominated part of it, and the factors that interact with it. The main goal is to assess whether a credit crunch ocurred in Romania during the economic crisis. To this end we employ the disequilibrium model framework, set up in economic literature some 40 years ago. Our investigation takes into consideration the main macroeconomic determinants of this market, that interact with demand and supply. Our approach has in view the macroeconomic variables such as output, interest rates and foreign currency credit. The demand and supply function are estimated through the maximization of a certain maximum likelihood function. The final conclusion is that, based on the estimated model, one cannot detect a credit crunch in the after-crisis period. This paper’s results show that empirically-constructed disequilibrium models can be used to properly describe the behavior of the lei-denominated credit market, by taking necessary precautions.
Keywords: Non-governmental credit; Disequilibrium models; Maximum likelihood; Co-integration; Credit crunch (search for similar items in EconPapers)
JEL-codes: E51 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/SPAS_7_31.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cmj:seapas:y:2015:i:7:p:207-214
Access Statistics for this article
SEA - Practical Application of Science is currently edited by Romanian Foundation for Business Intelligence
More articles in SEA - Practical Application of Science from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().