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(2016). Dynamics of Inflation, Economic Growth, Money Supply and Exchange Rate in India: Evidence from Multivariate Analysis. Quarterly Journal of Econometrics Research, 2(2): 42-54. DOI: 10.18488/journal.88/2016.2.2/22.214.171.124
The present study investigates the dynamics of inflation, GDP and
exchange rate and money supply in India for the period 1975-2012. The
data source is cumulated from the Reserve Bank of India (RBI) Handbook
of Statistics 2012. The empirical findings of the study show that there
is a long-run equilibrium relationship exist among the variables. The
result also suggest that money supply has a positive effect on GDP
growth in India. The result of error correction indicates that correct
and negative sign for Gross Domestic Product and exchange rate. The
behavior of GDP implies there is no problem of adjustment in the long
run in case of shocks in the short run. The VECM Granger causality
confirms that unidirectional causality from GDP to inflation and
exchange rate to inflation. The result also found that exchange rate
Granger causes both GDP and money supply at 10 percent level of
significance. The impulse response result shows that GDP has a positive
response to money supply from the occurrence to the end of the period.
Whereas the response of exchange rate to money supply negative in the
whole lag period. The variance decomposition result explainss that no
significant part of variance is caused by money supply. The result also
reveals that cyclical variance of GDP caused by money supply, exchange
rate, and inflation.
This study is one of very few studies which has investigated the growth
inflation relationship in the context of India in a new approach using
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(2016). Panel Data Analysis of the Impact of Economic Freedom as Well as Economic Conditions, The Quality of Life, and Public Education Spending on U.S. Undocumented Immigrant Settlement Patterns. Quarterly Journal of Econometrics Research, 2(2): 28-41. DOI: 10.18488/journal.88/2016.2.2/126.96.36.199
This study seeks to identify key factors influencing the geographic
settlement pattern of undocumented immigrants in the U.S., with a
particular emphasis on the impact of economic freedom, and to extend the
OLS findings in previous related studies. Indeed, this study adds to
the literature in several ways. First, it provides current insights into
the link between the settlement patterns of undocumented immigrants in
the U.S. and economic freedom. Second, the study adopts a panel data-set
and provides estimates using cross-section fixed-effects. Third, this
study also endeavors to provide further insights into the impacts on the
settlement patterns of undocumented immigrants of non-economic-freedom
economic conditions, as well as the quality of life and spending on
primary and secondary public education. The various state fixed-effects
estimates provided in the present study yield several conclusions. In
particular, according to these estimations, the settlement pattern of
undocumented immigrants in the U.S is inversely a function of colder
climates, higher crime rates, higher population density, and a higher
cost of living. In addition, the interstate distribution of undocumented
immigrants to the U.S. is positively a function of the annual per pupil
outlays on public primary and secondary education; it is also
positively a function of the degree of economic freedom, the principal
focus of this study.
This study contributes to the literature by providing contemporary
insights into the factors influencing settlement patterns of
undocumented immigrants in the U.S. using panel data. It is also one of
the few studies to examine the influences of economic freedom and
primary and secondary public school outlays.