Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Equilibria under ‘active’ and ‘passive’ monetary and fiscal policies
19911.2k citationsEric M. LeeperJournal of Monetary Economicsprofile →
What Does Monetary Policy Do?
1996692 citationsEric M. Leeper, Christopher A. Sims et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Eric M. Leeper
Since
Specialization
Citations
This map shows the geographic impact of Eric M. Leeper's research. 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 Eric M. Leeper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric M. Leeper more than expected).
This network shows the impact of papers produced by Eric M. Leeper. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric M. Leeper. The network helps show where Eric M. Leeper may publish in the future.
Co-authorship network of co-authors of Eric M. Leeper
This figure shows the co-authorship network connecting the top 25 collaborators of Eric M. Leeper.
A scholar is included among the top collaborators of Eric M. Leeper based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Eric M. Leeper. Eric M. Leeper is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Leeper, Eric M., et al.. (2023). Recovery of 1933. Finance and Economics Discussion Series. 1–85.1 indexed citations
Fukuda, Shin‐ichi, Takeo Hoshi, & Eric M. Leeper. (2011). Fiscal Policy and Crisis: Editor’s introduction. Journal of the Japanese and International Economies. 25(4). 355–357.1 indexed citations
6.
Bi, Huixin & Eric M. Leeper. (2010). Sovereign Debt Risk Premia and Fiscal Policy in Sweden. National Bureau of Economic Research.1 indexed citations
7.
Leeper, Eric M.. (2010). Monetary Science, Fiscal Alchemy. National Bureau of Economic Research. 361–434.45 indexed citations
Evans, Paul, et al.. (2004). Monetary Explanations of the Great Depression: A Selective Survey of Empirical Evidence. Econometric Reviews. 89. 1–23.4 indexed citations
Leeper, Eric M. & Tao Zha. (2002). Empirical Analysis of Policy Interventions. SSRN Electronic Journal.2 indexed citations
12.
Leeper, Eric M. & Tao Zha. (2001). Assessing simple policy rules: A view from a complete macroeconomic model. Econometric Reviews. 86. 35–58.5 indexed citations
Leeper, Eric M.. (1993). The policy tango: toward a holistic view of monetary and fiscal effects. Econometric Reviews. 1–27.16 indexed citations
17.
Leeper, Eric M.. (1992). Facing up to our ignorance about measuring monetary policy effects. Econometric Reviews. 1–16.7 indexed citations
18.
Leeper, Eric M.. (1992). Consumer attitudes: king for a day. Econometric Reviews. 1–15.34 indexed citations
19.
Leeper, Eric M. & D. Benjamin Gordon. (1992). In search of the liquidity effect. Journal of Monetary Economics. 29(3). 341–369.152 indexed citations
20.
Leeper, Eric M.. (1991). Equilibria under ‘active’ and ‘passive’ monetary and fiscal policies. Journal of Monetary Economics. 27(1). 129–147.1216 indexed citations breakdown →
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.