A Simulation-Oriented Regional Econometric Model

1986 ◽  
Vol 18 (12) ◽  
pp. 1611-1628 ◽  
Author(s):  
S Cassing ◽  
F Giarratani

This paper concerns the structure and application of an econometric model of the Pittsburgh region. A distinction is drawn between forecasting models and those to be used for policy simulation. With this in mind, a simulation-oriented model based on annual data is specified and applied.

2012 ◽  
Vol 28 (3) ◽  
pp. 515
Author(s):  
Helmi Hamdi ◽  
Abdelaziz Hakimi ◽  
Mouldi Djelassi

<p>The aim of this paper is twofold. First, the paper aims to analyze the relationship between the number of bank enterprise relationships and the cost of credit for some Tunisian firms. Using an econometric model based on panel data analysis, results show that the number of bank financing lenders increases the cost of credit. Second, the paper aims to determine the rapport between the number of bank partners and the availability of the credit. By using a qualitative model based on the logit estimation, results show that the number of banks affects negatively and significantly the availability of credit.</p>


1991 ◽  
Vol 3 ◽  
pp. 123-154 ◽  
Author(s):  
Jim Granato

This article addresses the lack of cohesion in econometric model building. This incoherence contributes to model building based on statistical criteria—correcting residuals—and not theoretical criteria. The models we build, therefore, are not valid replications of theory. To deal with this problem, an agenda for model building is outlined and discussed. Drawing on the methodological approaches of Hendry, Qin, and Favero (1989), Hendry and Richard (1982, 1983), Sargan (1964), and Spanos (1986), this agenda incorporates a “general to simple” modeling philosophy, a battery of diagnostic tests, reduction theory, and the development of models that include short-term and long-term parameters. A comparison is made between a model based on this agenda and a model based on corrected residuals. The findings show that the agenda-based model outperforms the residual correction model.


2016 ◽  
Vol 3 (1) ◽  
pp. 24
Author(s):  
Salvador Climent-Serrano

This work develops an econometric model based on the exogenous economic variables used in Oliver Wyman´s report. In this case the model is used in order to estimate late payments (NPLs) by Spanish credit entities. A model based on variables considered to be optimal to quantify impact on the NPLs is developed by studying the aforementioned variables, modifying them and eliminating any which are superfluous. Furthermore, whether or not the model is optimal for long periods of time is corroborated. This is due to the fact that the scenario in Oliver Wyman´s report from September 2012 (Wyman 2012) is based on 30 years of Spanish economical historical data, as stated in the report itself. The results indicate the variables that have impact on defaults. The increase in housing prices, the Madrid Stock Exchange Index, the Exchange Rate the euro against USD. The Euribor 12 months and the industries Credit to other residents, decreases the delinquency. The NPLs also fell by transfers from riskier assets to SAREB. However, these results are different if the economy is growing or in recession. So the results will not be optimal but the appropriate model is employed.


1997 ◽  
Vol 28 (1) ◽  
pp. 193-206
Author(s):  
Shuntaro SHISHIDO ◽  
Mitsuru HAMADA ◽  
Alexander MOVCHOUK ◽  
Tomoyoshi NAKAJIMA ◽  
Hitoshi TANAKA

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