Nonparametric comparison of epidemic time trends: The case of COVID-19

Marina Khismatullina, Michael Vogt

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The COVID-19 pandemic is one of the most pressing issues at present. A question which is particularly important for governments and policy makers is the following: Does the virus spread in the same way in different countries? Or are there significant differences in the development of the epidemic? In this paper, we devise new inference methods that allow to detect differences in the development of the COVID-19 epidemic across countries in a statistically rigorous way. In our empirical study, we use the methods to compare the outbreak patterns of the epidemic in a number of European countries.
Original languageEnglish
Pages (from-to)87-108
Number of pages22
JournalJournal of Econometrics
Volume232
Issue number1
DOIs
Publication statusPublished - Jan 2023

Bibliographical note

Funding Information:
Financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Germany – grant VO 2503/1-1, project number 430668955 – is gratefully acknowledged.

Publisher Copyright:
© 2021

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