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Sectoral Volatility and National Output Fluctuations in Indian Economy: An ARCH and GARCH Approach

机译:印度经济中的部门波动和国家产出波动:ARCH和GARCH方法

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The study empirically investigated the impact of sectoral volatility on the economic growth of India using annual time series data for the years 1970-2011. It is attempted to find out that to what extant volatility in economic growth rate of India is associated with volatility in growth rate of different sectors. ADF unit root test is used to check the stationarity of the data. Autoregressive Conditional Heteroscedasticity (ARCH) and General Autoregressive Conditional Heteroscedasticity (GARCH) have been used for estimating the volatility in growth rate of GDP and sectors. To see the impact of sectoral volatility on economic growth rate Ordinary Least Square (OLS) has been used. Finally to estimate the stability of the model Cumulative Sum (CUSUM) and Cumulative Sum of Square (CUSUMSQ) tests have been employed. The results explain the existence of volatility in economic growth rate to a greater extent. The agriculture sector, exports and imports also fluctuate to a greater extent. The results have also shown that lagged period of growth rate of output, agricultural sector as well as services sector affects the current period’s growth rate of output. Furthermore, the results revealed that volatility in services sector contributes highest towards volatility in economic growth rate as compared to other sectors and volatility in exports sector influence the economic growth fluctuations negatively.
机译:该研究使用1970-2011年的年度时间序列数据,以实证研究了行业波动对印度经济增长的影响。试图发现,印度经济增长率的现有波动与不同部门的增长率波动有关。 ADF单位根测试用于检查数据的平稳性。自回归条件异方差(ARCH)和一般自回归条件异方差(GARCH)已用于估算GDP和部门增长率的波动性。为了了解部门波动对经济增长率的影响,已使用普通最小二乘(OLS)。最后,为了评估模型的稳定性,使用了累积总和(CUSUM)和累积平方和(CUSUMSQ)检验。结果在很大程度上解释了经济增长率的波动性。农业部门,出口和进口也在较大范围内波动。结果还表明,产出增长率的滞后时期,农业部门以及服务部门都会影响当期的产出增长率。此外,结果表明,与其他部门相比,服务业的波动对经济增长率的波动影响最大,而出口部门的波动对经济增长波动产生负面影响。

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