选择合适的时间序列数据分析方法框架

Min B. Shrestha , Guna R. Bhatta
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引用次数: 263

摘要

经济学家在处理时间序列数据时面临着方法选择问题。由于时间序列数据可能具有趋势和结构断裂等特定属性,用于分析其他类型数据的常用方法可能不适用于时间序列数据的分析。本文讨论了时间序列数据的特性,比较了常用的数据分析方法,提出了时间序列数据分析的方法框架。该框架对选择合适的测试方法有很大帮助。举个例子,我们考察了尼泊尔的货币价格关系。在此方法框架下获得的测试结果更加稳健和可靠。
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Selecting appropriate methodological framework for time series data analysis

Economists face method selection problem while working with time series data. As time series data may possess specific properties such as trend and structural break, common methods used to analyze other types of data may not be appropriate for the analysis of time series data. This paper discusses the properties of time series data, compares common data analysis methods and presents a methodological framework for time series data analysis. The framework greatly helps in choosing appropriate test methods. To present an example, Nepal's money–price relationship is examined. Test results obtained following this methodological framework are found to be more robust and reliable.

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来源期刊
Journal of Finance and Data Science
Journal of Finance and Data Science Mathematics-Statistics and Probability
CiteScore
3.90
自引率
0.00%
发文量
15
审稿时长
30 days
期刊最新文献
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