scholarly journals Credit Rationing and the Commercial Loan-Market.

1972 ◽  
Vol 82 (326) ◽  
pp. 758
Author(s):  
C. W. J. Granger ◽  
Dwight M. Jaffee
Keyword(s):  
2016 ◽  
Vol 19 (03) ◽  
pp. 1650016
Author(s):  
Maria Semenova ◽  
Victoria Kulikova

After the 2008 crisis, the Russian consumer loan market shows high growth rates, accompanied by the quality deteriorating even faster. At the same time, a great proportion of households are not attracted by the banks and borrow informally. In this paper, we aim to learn why households refuse to become bank clients, using the data from a 2009–2010 national survey of Russian households. Our results suggest that household's choice of the informal credit market is based not only on credit rationing, but also on a lack of financial literacy, credit discipline and trust in the banking sector as a whole.


1972 ◽  
Vol 27 (1) ◽  
pp. 162
Author(s):  
William H. Wrean ◽  
Dwight M. Jaffee
Keyword(s):  

1969 ◽  
Vol 24 (4) ◽  
pp. 729 ◽  
Author(s):  
Dwight M. Jaffee
Keyword(s):  

2012 ◽  
Vol 52 (No. 10) ◽  
pp. 477-488
Author(s):  
L. Čechura

The article is concerned with the analysis of the role of credit rationing in Czech agriculture on the case of large agricultural enterprises. The part of results, first presents the author&rsquo;s derivation of the theoretical model (model CR-AS), which represents a good tool (approach) for the analysis of credit rationing on sector level. Second, the focus on large agricultural enterprises and relevant characteristic of agriculture ask for a small adjustment of the derived model CR-AS in the part of model application. Third, the adjusted model is expressed numerically by the employment of econometric methodology. The estimation of the model is made per partes. The co-integration is used for fitting the Cobb-Douglas production function, which embodies the long run production characteristics of large agricultural enterprises. The CR<sup>D</sup>curve is derived based on the stability assumption of the production function that is essential considering the recursive nature of the model. Finally, the specified model is employed in the ex-post analysis of the impact of credit rationing on production level of large agricultural enterprises. The outputs of the analysis suggest that, in average, the group of large agricultural enterprises might not be directly influenced by possible presence of credit rationing on the agricultural loan market. Nevertheless, that might not be the case of small and middle enterprises. The analysis continues with the investigation of possible meeting of credit rationing within both the group of large agricultural enterprises and the group of small and middle enterprises and stresses his implications. Furthermore, the role of the PGRLF (Support and Guarantee Farm and Forestry Fund) is analysed and discussed on the subject of reduction of credit rationing phenomena on the agricultural loan market.&nbsp;


1969 ◽  
Vol 24 (4) ◽  
pp. 729-729 ◽  
Author(s):  
Dwight M. Jaffee
Keyword(s):  

2014 ◽  
Vol 5 (1) ◽  
pp. 59-75 ◽  
Author(s):  
Saeed Asadi Bagloee ◽  
Mohsen Asadi ◽  
Cyrus Mohebbi

The loan market has contributed to the success and failure of economies. Examples of such failures are the US subprime mortgage crisis as well as the global economic meltdown that followed. Many factors influence the loan market, making it volatile and vulnerable. As such, it is important to understand the extent of its vulnerability. Such uncertainties emerge from asymmetric information in the loan market that may lead to credit rationing. Many studies have been devoted to exploring theoretical aspects of the credit market. However, before delving into the theory, it is important to understand and analyze empirical data. Having said that, the literature has yet to provide reliable methodologies for analyzing the empirical data of the loan market. Therefore, given an empirical survey, this study provides a model describing borrowers' behavior in the loan markets. Borrowers are faced with a variety of loan contracts with different terms and conditions from different banks. Logit models can be used to capture the borrowers' choice of bank. Credit is not easily available rather it is rationed and borrowers compete to obtain their required credit via best suited banks offers. The competition is guaranteed by developing a mathematical programming formulation (an objective function subject to constraints) integrated with the logit models for which a solution algorithm using Successive Coordinate Descent was developed. Numerical results of the methodology are presented. Loan terms and conditions as well the borrowers characteristics and preferences are captured in the logit models as explanatory variables. The methodology allows sensitivity analysis on the explanatory variables demonstrating the fluctuation and vulnerability of credit flow.


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