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EMPIRICAL TESTING OFQUANTITY THEORY OF
MONEY IN INDIA
- ROHIT WALIMBE
- PROF. LAKSHMI KUMAR
International Conference on Quantitative Methods in Money BankingFinance and insurance IBS Hyderabad -19 March 2010
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INTRODUCTION Background and origin of QTM
Concept of the Quantity Theory of Money
(QTM)
MV=PY
M - Quantity of Money (M3- Broad Money )
V - Velocity of Money
P - Aggregate Price Level (GDP deflator)
Y - Real GDP
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Consistent and precise relation between the Mand Y
Is it valid for India in the Long Run ?? Letscheck
Short Run not considered
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- Hypothesis tested :1. Money stock growth contributes positively to
inflation
2. Real GDP growth contributes negatively toInflation.
Other factors contributing to the inflation and
the role of interest rate in explaining inflation
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QTM AS A REGRESSIONMODEL
M V= PY
As inflation is % change in price level,
%change in M + %change in V = %change in P
+ %change in Y
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0123456
78
-
-
1954-55
1956-57
-
-
1962-63
-
-
1968-69
1970-71
-
-
1976-77
-
-
1982-83
-
-
1988-89
1990-91
-
-
1996-97
-
-
2002-03
2004-05
-
-
VELOCITY=GDP CURRENT PRICE/NARROW MONEY
VELOCITY=GDP CURRENT PRICE/NARROW
MONEY
Linear (VELOCITY=GDP CURRENT
PRICE/NARROW MONEY)
Velocity assumed to be constant
%change in P =%change in M%change in Y
i.e. A=BC + u
A is inflation, B is money supply growth and C is real GDP
growth, u is the disturbance term.
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Thus, the unrestricted QTM becomes,
A=o+ 1B+2C+ Assumptions made for which is a disturbance
are,
1. It is random variable with mean or expected value of zero i.e.
E() = 0,
2. Values of are independent
3. The error is a normally distributed random variable
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The hypotheses to be tested are as follows
o =0 , 1 = 1 , 2 = -1
i.e. as money growth increases, and GDP
growth reduces, inflation reacts one to one
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DATA & ANALYSIS OF RESULTS
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
0 10 20 30 40 50 60
Inflation
REAL GDP GROWTH
CHANGE IN BROAD MONEY SUPPLY
Linear (Inflation)
Linear (REAL GDP GROWTH)
Linear (CHANGE IN BROAD MONEY SUPPLY)
CORRELATION
1Change in Broad Money supply and
Inflation. (B) 0.297
2Inflation and Real GDP Growth (C) -0.332
WEAK BUT
POSITIVE
MODERATE BUT
NEGATIVE
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Regression Statistics
Multiple R 0.4557
R Square 0.2076
Adjusted R Square 0.1724
Standard Error 0.0363
Observations 48
ANOVA
df SS MS FSignificance
F
Regression 2 0.016 0.008 5.895 0.005
Residual 45 0.059 0.001
Total 47 0.075
Coefficients StandardError
t Stat P-value Lower 95% Upper95%
Lower95.0%
Upper95.0%
INTERCEPT 0.05253 0.02060 2.54988 0.01425 0.01104 0.09402 0.01104 0.09402
REAL GDP GROWTH (2) -0.43684 0.16803 -2.59978 0.01257 -0.77527 -0.09841 -0.77527 -0.09841
CHANGE IN BROAD MONEY
SUPPLY (1)0.28127 0.11968 2.35023 0.02321 0.04023 0.52231 0.04023 0.52231
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Monetary policy
What about interest rate
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
-
1963-64
-
1969-70
-
-
1978-79
-
-
1987-88
-
1993-94
1996-97
-
2002-03
-
Inflation
REAL GDP GROWTH
CHANGE IN BROAD MONEYSUPPLY
Poly. (Inflation)
Poly. (REAL GDP GROWTH)
Poly. (CHANGE IN BROAD MONEY
SUPPLY)
Trend of Inflation, Real GDP Growth and Change in Broad Money Supply
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INTEREST RATE
-5
0
5
10
15
20
25
Y
1972
Y
1974
Y
1975
Y
1977
Y
1980
Y
1982
Y
1983
Y
1985
Y
1988
Y
1991
Y
1993
Y
1996
Y
1999
Y
2001
Y
2004
Y
2007
INFLATION
INTEREST RATE
Poly. (INFLATION)
Poly. ( INTEREST RATE)
Correlation between call/notice interest rate andinflation in India gives a coefficient of +0.351
LONG RUN TREND BETWEEN INTEREST RATE AND INFLATION
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CONCLUSION QTM is not supported by regression model
Positive moderate response of interest rate to
inflation
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Positive correlation of 0.257 between interest
rate and money supply growth
Though interest rate is responding to inflation
this does not get translated into an expansion
or contraction of money supply
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FUTURE WORK Study of lag effect
Study of Taylors Rule in Indian context.
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!!! THANK YOU !!!
ANY QUESTIONS??