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Economic Models - Convex Optimization

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Topic 2<br />

Credit and Income: Co-Integration Dynamics<br />

of the US Economy<br />

Athanasios Athanasenas<br />

Institute of Technology and Education, Greece<br />

1. Introduction<br />

In this study, I seek to identify the existence of a significant statistical relationship<br />

between credit (as commercial bank lending) and income (GDP),<br />

for the US post-war economy, in terms of a contemporary co-integration<br />

methodology.<br />

The main empirical finding regarding the hypothesis that causality, in<br />

the long run, is directed from credit to income, agrees with the “credit-view”.<br />

This can be verified by the the post-war US data. In this chapter, I have<br />

identified a dynamic causality effect in the short run, from income changes<br />

to credit ones. To obtain the results cited here, I have applied a co-integration<br />

analysis. In addition to considering the formulated VAR, I place particular<br />

emphasis upon the stability analysis of the estimated equivalent first-order<br />

dynamic system. Finally, dynamic forecasts from the corresponding error<br />

correction variance (ECVAR) are obtained, in order to verify the validity<br />

of the co-integration vector used.<br />

This study have four sections. Section 2 reviews, in a brief note,<br />

the literature on credit and income growth of the post-war US economy.<br />

Section 3 deals with methodological issues concerning the contemporary<br />

co-integration analysis and the data used. Section 4 presents the econometric<br />

analysis and the empirical results; while Section 5 concludes the<br />

credit-income causality issue, placing emphasis on the stability analysis<br />

of the obtained first-order dynamic system and the forecasts from the<br />

corresponding ECVAR.<br />

201

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