Unit root tests: Common pitfalls and best practices

Since the seminal paper by Granger and Newbold (1974) on spurious regressions, applied econometricians have become aware of the consequences of unit roots in empirical analysis with time series data. Yet one can still find many published papers with unit root tests implemented in an inappropriate wa...

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Autores principales: Traoré, Fousseini, Diop, Insa
Formato: Artículo preliminar
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2022
Materias:
Acceso en línea:https://hdl.handle.net/10568/140994
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author Traoré, Fousseini
Diop, Insa
author_browse Diop, Insa
Traoré, Fousseini
author_facet Traoré, Fousseini
Diop, Insa
author_sort Traoré, Fousseini
collection Repository of Agricultural Research Outputs (CGSpace)
description Since the seminal paper by Granger and Newbold (1974) on spurious regressions, applied econometricians have become aware of the consequences of unit roots in empirical analysis with time series data. Yet one can still find many published papers with unit root tests implemented in an inappropriate way. The objective of this Technical Note is to highlight the common pitfalls and best practices when testing for unit roots. In addition to the theoretical discussion, we provide examples using price data from Kenya, Mali, Togo, and South Africa to illustrate the procedures we think are worth following.
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spelling CGSpace1409942025-11-06T06:18:08Z Unit root tests: Common pitfalls and best practices Traoré, Fousseini Diop, Insa models approaches macroeconomics econometrics best practices Since the seminal paper by Granger and Newbold (1974) on spurious regressions, applied econometricians have become aware of the consequences of unit roots in empirical analysis with time series data. Yet one can still find many published papers with unit root tests implemented in an inappropriate way. The objective of this Technical Note is to highlight the common pitfalls and best practices when testing for unit roots. In addition to the theoretical discussion, we provide examples using price data from Kenya, Mali, Togo, and South Africa to illustrate the procedures we think are worth following. 2022-01-12 2024-04-12T13:37:02Z 2024-04-12T13:37:02Z Working Paper https://hdl.handle.net/10568/140994 en Open Access application/pdf International Food Policy Research Institute Traoré, Fousseini; and Diop, Insa. 2022. Unit root tests: Common pitfalls and best practices. AGRODEP Technical Note TN-23. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/p15738coll2.134944.
spellingShingle models
approaches
macroeconomics
econometrics
best practices
Traoré, Fousseini
Diop, Insa
Unit root tests: Common pitfalls and best practices
title Unit root tests: Common pitfalls and best practices
title_full Unit root tests: Common pitfalls and best practices
title_fullStr Unit root tests: Common pitfalls and best practices
title_full_unstemmed Unit root tests: Common pitfalls and best practices
title_short Unit root tests: Common pitfalls and best practices
title_sort unit root tests common pitfalls and best practices
topic models
approaches
macroeconomics
econometrics
best practices
url https://hdl.handle.net/10568/140994
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