Changes of base-year and Indian GDP growth: an agnostic look

IF 0.8 Q4 DEVELOPMENT STUDIES Indian Growth and Development Review Pub Date : 2021-06-03 DOI:10.1108/IGDR-08-2020-0124
M. Chakrabarty, Partha Ray
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引用次数: 2

Abstract

Purpose World over, change of base year in the gross domestic product (GDP) is a standard practice of GDP estimation. However, unless a consistent series of GDP is released with respect to the new base for the earlier period, the existence of multiple growth rates creates problems for applied researchers, policymakers and the general public alike. Faced with such a menu of GDP series researchers often try to interpolate a consistent series of GDP. The main purpose of this paper is to analyses the nature of the data generating process of such multiple interpolated series of quarterly growth rates and tries to discern the consistency of such processes. Design/methodology/approach The present paper tries to look into the statistical implications and complications of such interpolated quarterly GDP/growth series in India in terms of three series of GDP, namely, with 1999–2000, 2004–2005 and 2011–2012 as its bases. Findings The analysis reveals that as a result of a change of base year, the nature of the data generating process of the old and new GDP series could undergo changes and experience different breakpoints. While all these conclusions seem to be valid for GDP growth at quarterly intervals, taking the data at annual frequency is less problematic. Practical implications The observation suggests that in most applied work, researchers may not have the luxury of only working with annual data and certain consistency checks will be necessary to check the veracity of the results based on quarterly data with those based on annual data. Second, moving forward it may be useful for the Authorities to make a transition to a chain-based linking method rather than fixed time-period-based bases as is currently done. Originality/value The analysis of Indian GDP in this paper is, perhaps, indicative of the fact that usage of quarterly GDP data is to be handled with caution and it is preferable that any serious empirical analysis uses annual GDP data whenever it is available/feasible. The comparison of GDP growth rates at different frequencies and examining the true nature of the process are quite unique in their contribution towards empirical macroeconomic research.
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基准年和印度GDP增长的变化:一个不可知论的视角
目的在世界范围内,国内生产总值(GDP)基准年的变化是估计GDP的标准做法。然而,除非公布一系列与前期新基数相一致的GDP数据,否则多重增长率的存在会给应用研究人员、政策制定者和普通公众带来问题。面对这样一系列的GDP序列,研究人员往往试图插入一个一致的GDP序列。本文的主要目的是分析这些季度增长率的多重插值序列的数据生成过程的性质,并试图辨别这些过程的一致性。本文试图以1999-2000年、2004-2005年和2011-2012年三个GDP序列为基础,研究印度这种内插的季度GDP/增长序列的统计含义和复杂性。分析发现,由于基准年的变化,新旧GDP序列数据生成过程的性质会发生变化,并经历不同的断点。虽然所有这些结论似乎都适用于每季度的GDP增长,但以年度频率计算数据的问题就小得多。实际意义观察结果表明,在大多数应用工作中,研究人员可能无法仅使用年度数据,并且必须进行某些一致性检查,以检查基于季度数据的结果与基于年度数据的结果的准确性。第二,向前推进,当局过渡到以链为基础的链接方法,而不是像目前那样以固定的时间段为基础,可能是有益的。本文中对印度GDP的分析或许表明了这样一个事实,即季度GDP数据的使用需要谨慎处理,任何严肃的实证分析都最好使用年度GDP数据,只要它是可用的/可行的。对不同频率下GDP增长率的比较,以及对这一过程的真实性质的考察,对实证宏观经济研究的贡献是相当独特的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
7
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