GDP Growth and Credit Data
AbstractIt is a well-known fact that there is a strong relationship between bank credits and economic activity. Thus, it is a reasonable question whether credit data can be used in nowcasting GDP growth. It is important for policymakers to make on-time decisions with the most available data and nowcasting is an important tool when policies in question are needed to be made based on current figures. Most macroeconomic variables are made available to public after a considerable delay; however, banking credit data may be very valuable for the early estimate of current GDP as it is available only with a few days delay. In this paper, we aim to investigate the feasibility of using credit data in explaining the variability in Turkish GDP growth and as well as nowcasting it. For this purpose, we use credit impulse and new borrowing, two measures of credit flows. We show that credit impulse and new borrowing are significant in explaining the pattern of the Turkish GDP growth and they have significant contribution to nowcasting it.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 46613.
Date of creation: Mar 2013
Date of revision:
Nowcasting GDP; Credit Impulse; New Borrowing;
Other versions of this item:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-05-05 (All new papers)
- NEP-ARA-2013-05-05 (MENA - Middle East & North Africa)
- NEP-FDG-2013-05-05 (Financial Development & Growth)
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