Long Swings in the Dollar: Are They in the Data and Do Markets Know It?
Impact in
Classified as
- Authors
- Charles EngelJames D. Hamilton
- Journal
- American Economic Review
In The Last Decade
doi.org/w4667422 →Countries where authors are citing Long Swings in the Dollar: Are They in the Data and Do Markets Know It?
This map shows the geographic impact of Long Swings in the Dollar: Are They in the Data and Do Markets Know It?. 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 Long Swings in the Dollar: Are They in the Data and Do Markets Know It? with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Swings in the Dollar: Are They in the Data and Do Markets Know It? more than expected).
Fields of papers citing Long Swings in the Dollar: Are They in the Data and Do Markets Know It?
This network shows the impact of Long Swings in the Dollar: Are They in the Data and Do Markets Know It?. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Long Swings in the Dollar: Are They in the Data and Do Markets Know It?.
About Long Swings in the Dollar: Are They in the Data and Do Markets Know It?
This paper, published in 1990, received 667 indexed citations . Written by Charles Engel and James D. Hamilton 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 (508 citations), General Economics, Econometrics and Finance (454 citations), Finance (417 citations), Management Science and Operations Research (48 citations) and Statistics and Probability (29 citations). Published in American Economic Review.
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/w4667422.