Journal of Monetary EconomicsJournal Home
The Journal of Monetary Economics publishes important research contributions to a wide range of modern macroeconomic topics including work along empirical, methodological and theoretical lines. In recent years, these topics have been: asset pricing; banking, credit and financial markets; behavioral macroeconomics; business cycle analysis; consumption, labor supply, and saving; dynamic equilibria (theory and computational methods); economic growth and development; expectation formation, information and aggregate economic activity; fiscal shocks and fiscal policies; expectation formation; forecasting, macroeconometrics, and time series analysis; information and aggregate economic activity; international trade, exchange rates, and open economy macroeconomics; labor markets ; macroeconomic data and history; monetary policy; monetary theory; money demand and money supply behavior; optimal contracting and economic activity; productivity measurement and theory; pricing in product markets and labor markets; and real investment (inventories, fixed, human capital). The Journal of Monetary Economics has eight regular issues per year, with the Carnegie-Rochester Conference Series on Public Policy as the January and July issues.
Publishing Model:Hybrid OA
ISSN:0304-3932
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EISSN:1873-1295
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Publication Frequency:Seven times a year
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Last updated on  01 Apr 2026 / Current volume: 声逦䟕 / Current issue:
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Journal Disciplines
Public Finance
Financial Studies
Open Access Information
Publication FEEs
APCs: 4790 (USD)
This journal publishes articles under the following open access license
OA License: CC BYCC BY-NCCC BY-NC-ND
Peer-Review
Single-blind Peer Review
Author's Copyright Notice
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Journal Metrics

Impact Factor

Journal Impact Factor(JIF) 2024
鋺.声
Journal Citation Indicator(JCI) 2024
声.缗逦
Web of Science Rank 2024:
乊。鵣沟鵣胦喊。偌
# 篫缗/炆声篫
88.41%
Q1
愨侶偌喊沟乊偌偌, 彦喊沟嵻沟。乊
# 鋺蔡/缗鋺声
83.61%
Q1

CiteScore Metrics

CiteScore 2024
篫.鋺
=
  缗䟕篫䟕 Citation (2022-2024)
  鋺蔡声 Article (2022-2024)
CiteScore Rank 2024
彦嚷鵃囹鵃桧蠹
# 鋺逦/杚杚杚
86.49%
Q1
乊桧肃鵃肃陱嚷桧详 囹鵃罒 乊桧肃鵃肃陱蠹锆㥌嚷桧详
# 声蔡蔡/篫杚声
86.32%
Q1
Abstracting Indexing