How the banking system is creating a two-way inflation in an economy?

Mehedi Nizam, Ahmed (2018): How the banking system is creating a two-way inflation in an economy?

Abstract

Here we argue that due to the difference between the real GDP growth rate and nominal deposit rate, a demand pull inflation is induced into the economy. On the other hand, due to the difference between real GDP growth rate and nominal lending rate, a cost push inflation is created. We quantitatively measure the amount of nominal interest income the depositors spend on each unit of consumed goods and the amount of nominal interest expense the borrowers pay on each unit of produced goods which is not supported by the accompanying real GDP growth rate and thereby causing inflation in the economy. We examine the process of creating two-fold inflation by the interplay between real GDP growth rate and nominal deposit and lending rate and provide two metrics that tend to link the overall inflation prevailing at any point of time in an economy to the nominal deposit and lending rate in the long run. We compare the performance of our model to the Fisherian one by using Toda and Yamamoto approach of testing Granger Causality in the context of non-stationary data. We then use ARDL Bounds Testing approach to cross-check the results obtained from T-Y approach.

• Item Type: MPRA Paper
• Language: English
• Keywords: banking, nominal deposit rate, nominal lending rate, demand pull inflation, cost push inflation, Fisher Effect, Fisher Hypothesis, Fisher Equation
• Subjects: E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation; E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E43 - Interest Rates: Determination, Term Structure, and Effects; E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy; E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy; E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies

References

1. Atkins, F.J., 1989. Co-integration, error correction and the Fisher effect. Applied Economics 21, 1611-1620.

2. Atkins,F.J., Coe, P.J, An ARDL bounds test of the long run Fisher effect in the United States and Canada.Journal of Macroeconomics 24 (2002) 255-266.

3. Crowder, W.J., 1997. The long run Fisher relation in Canada. Canadian Journal of Economics 30, 1124-1142.

4. Crowder, W.J., Hoffman, D.L., 1996. The long-run relationship between nominal interest rates and inflation: the Fisher equation revisited. Journal of Money Credit and Banking 28, 102-118.

5. Dutt, S.D., Ghosh, D., 1995. The Fisher hypothesis: examining the Canadian experience. Applied Economics 27, 1025-1030.

6. Engle, R.F., Granger, C.W.J. Co-integration and error correction: representation, estimation and testing. Econometrica: 55 (2), 251-276.

7. Fisher, M., Seater, J. Long-run neutrality and superneutrality in an ARIMA framework. American Economic Review 83, 402-415, 1993.

8. Fisher, I. (1930). The Theory of Interest, Macmillan, New York.

9. Granger, C. W. J. Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica 37 (3): 424-438, 1969.

10. Johansen, S. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models". Econometrica 59 (6): 1551-1580. JSTOR 2938278, 1991.

11. King, R.G., Watson, M.W. Testing long-run neutrality. Federal Reserve Bank of Richmond Economic Quarterly 83, 69-101, 1997.

12. Koustas Z., Serletis A. On the Fisher effect. Journal of Monetary Economics 44, 105-130, 1999.

13. MacDonald, R., Murphy, P.D., 1989. Testing the long run relationship between nominal interest rates and inflation using co-integration techniques. Applied Economics 21, 439-447.

14. Pesaran, M.H. and Shin, Y. (1999). "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis." Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium, Strom, S. (ed.) Cambridge University Press.

15. Pesaran, M.H., Shin, Y. and Smith, R. "Bounds Testing Approaches to the Analysis of Level Relationships.Journal of Applied Econometrics, 16, 289-326, 2001.

16. Toda, H. Y and T. Yamamoto (1995). "Statistical inferences in vector autoregressions with possibly integrated processes." Journal of Econometrics, 66, 225-250.