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  • 标题:On the Temporal Causal Relationship Between Macroeconomic Variables
  • 本地全文:下载
  • 作者:Srinivasan Palamalai ; Kalaivani Mariappan ; Christopher Devakumar
  • 期刊名称:SAGE Open
  • 印刷版ISSN:2158-2440
  • 电子版ISSN:2158-2440
  • 出版年度:2014
  • 卷号:4
  • 期号:1
  • DOI:10.1177/2158244014525419
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:The present study examines the dynamic interactions among macroeconomic variables such as real output, prices, money supply, interest rate (IR), and exchange rate (EXR) in India during the pre-economic crisis and economic crisis periods, using the autoregressive distributed lag (ARDL) bounds test for cointegration, Johansen and Juselius multivariate cointegration test, Granger causality/Block exogeneity Wald test based on Vector Error Correction Model, variance decomposition analysis and impulse response functions. The empirical results reveal a stronger long-run bilateral relationship between real output, price level, IR, and EXR during the pre-crisis sample period. Moreover, the empirical results confirm a unidirectional short-run causality running from price level to EXR, IR to price level, and real output to money supply during the pre-crisis period. Also, it is evident from the test results that there exist short-run bidirectional relationships running between real output and EXR, price level and IR, and IR and EXR in the pre-crisis era, respectively. Most importantly, long-run bidirectional causality is found between real output, EXR, and IR during the economic crisis period. And the study results indicate short-run bidirectional causality between money supply and EXR, IR and price level, and IR and output in India during the crisis era. Also, a short-run unidirectional causality runs from prices to real output in the crisis period.
  • 关键词:macroeconomic variables; cointegration; causality; variance decomposition analysis; impulse response functions
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