Financial Heterogeneity and the Investment Channel of Monetary Policy
Impact in
- Finance 152
Classified as
- Authors
- Pablo OttonelloThomas Winberry
- Journal
- Econometrica
In The Last Decade
doi.org/10.3982/ecta15949 →Countries where authors are citing Financial Heterogeneity and the Investment Channel of Monetary Policy
This map shows the geographic impact of Financial Heterogeneity and the Investment Channel of Monetary Policy. 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 Financial Heterogeneity and the Investment Channel of Monetary Policy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Financial Heterogeneity and the Investment Channel of Monetary Policy more than expected).
Fields of papers citing Financial Heterogeneity and the Investment Channel of Monetary Policy
This network shows the impact of Financial Heterogeneity and the Investment Channel of Monetary Policy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Financial Heterogeneity and the Investment Channel of Monetary Policy.
About Financial Heterogeneity and the Investment Channel of Monetary Policy
This paper, published in 2020, received 253 indexed citations . Written by Pablo Ottonello and Thomas Winberry covering the research area of General Economics, Econometrics and Finance, Finance and Economics and Econometrics. It is primarily cited by scholars working on Finance (152 citations), Economics and Econometrics (139 citations), General Economics, Econometrics and Finance (134 citations), Accounting (71 citations) and Strategy and Management (15 citations). Published in Econometrica.
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/10.3982/ecta15949.