This study investigates the stability issues of real money balances considering financial development. We estimate real narrow (M1) and broad (M3) money demand in India during the post-financial reform, from 1996:Q2 to 2016:Q3. To check the short- and long-run relationships, this study uses the autoregressive distributed lag model of cointegration and other various time series techniques. After incorporating financial development into money demand, we determined short- and long-run relationships and a well-defined open-economy stable money demand specification (M1 and M3) in India. Having established money demand function, the policymaker and central bankers can use monetary aggregates as an indicator or information variable to predict output gaps and inflationary expectations under the inflation-targeting framework.
The study explores the asymmetric effects of cereals crops, namely wheat, rice, and maize production on agricultural economic growth in India during 1960–2019. The asymmetric ARDL method is used in this study to analyze the asymmetric relationship between the independent and dependent variables. The findings reveal a link between cereal crop growth and agricultural economic growth. The NARDL findings indicate that positive maize and rice shocks have a considerable short- and long-term influence on agricultural economic growth. In contrast, the positive shock of wheat production is not significant. While the negative shocks of maize, rice and wheat production significantly impact agricultural economic growth. In a nutshell, the study reveals that agriculture growth has an asymmetric relationship with maize, wheat and rice production. The study's findings imply that policymakers should develop long- and short-term plans to boost agricultural growth and productivity in order to help farmers.
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