A Simple Panel Unit Root Test in the Presence of Cross Section Dependence

774 indexed citations
published 2003
Journal
SSRN Electronic Journal

Countries where authors are citing A Simple Panel Unit Root Test in the Presence of Cross Section Dependence

Specialization
Citations

This map shows the geographic impact of A Simple Panel Unit Root Test in the Presence of Cross Section Dependence. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A Simple Panel Unit Root Test in the Presence of Cross Section Dependence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Simple Panel Unit Root Test in the Presence of Cross Section Dependence more than expected).

Fields of papers citing A Simple Panel Unit Root Test in the Presence of Cross Section Dependence

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A Simple Panel Unit Root Test in the Presence of Cross Section Dependence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Simple Panel Unit Root Test in the Presence of Cross Section Dependence.

About A Simple Panel Unit Root Test in the Presence of Cross Section Dependence

This paper, published in 2003, received 774 indexed citations . Written by M. Hashem Pesaran covering the research area of General Economics, Econometrics and Finance and Economics and Econometrics. It is primarily cited by scholars working on Economics and Econometrics (636 citations), General Economics, Econometrics and Finance (274 citations) and Renewable Energy, Sustainability and the Environment (112 citations). Published in SSRN Electronic Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.2139/ssrn.457280.

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