Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy

3.7k indexed citations

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This paper, published in 2005, received 3.7k indexed citations. Written by Lawrence J. Christiano, Martin Eichenbaum and Charles L. Evans covering the research area of General Economics, Econometrics and Finance and Economics and Econometrics. It is primarily cited by scholars working on General Economics, Econometrics and Finance (3.2k citations), Economics and Econometrics (3.0k citations) and Finance (1.1k citations). Published in Journal of Political Economy.

In The Last Decade

doi.org/10.1086/426038 →

Countries where authors are citing Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy

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Citations

This map shows the geographic impact of Nominal Rigidities and the Dynamic Effects of a Shock to 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 Nominal Rigidities and the Dynamic Effects of a Shock to 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 Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy more than expected).

Fields of papers citing Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Nominal Rigidities and the Dynamic Effects of a Shock to 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 Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy.

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/10.1086/426038.

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