Conclusion

John D. Levendis
Additional contact information
John D. Levendis: Loyola University New Orleans

Chapter Chapter 15 in Time Series Econometrics, 2023, pp 459-463 from Springer

Abstract: Abstract Now that we have learned a bit about how to analyze time series data, we can use a bit of self reflection and humility. Econometrics is necessarily backward looking: a strong empirical result may not cointinue into the future. Further, econometrics shares more with rhetoric than with physics; it can be thought of as a form of argumentation rather than a search for immutable truth. Finally: your results are never unimpeachable, your analysis is never perfect, and you will never have the final word.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-031-37310-7_15

Ordering information: This item can be ordered from
http://www.springer.com/9783031373107

DOI: 10.1007/978-3-031-37310-7_15

Access Statistics for this chapter

More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().