Journal of Business and Economic Statistics

Taylor & Francis

Journal websitePeer review: Peer review
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About the journal

Journal of Business and Economic Statistics is a journal published by Taylor & Francis in United States. It is listed in PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Taylor & Francis
ISSN
0735-0015 · 1537-2707
Country
United States
Access
Not open access / not declared
Declared peer-review model
peer_review

Index listings

  • PUBMED · 2010-04-01
Indexing
PUBMED
APC
—
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

3781

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

233

i10-index

2085

From OpenAlex open data (CC0).

Editorial & policy5
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Norwegian register (HK-dir)— 2027
Level 2 — top tier (~20% of the field's channels)
Open references deposited at Crossref
100%
ORCID iDs in current deposits
51%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity3
Alternate titles
J.B.E.S.Journal of business and economic statisticsJBES
Source type
journal
NLM unique ID (PubMed)
101511917
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Monetary Policy and Economic Impact
  • Monetary Policy and Economic Impact
  • Financial Risk and Volatility Modeling
  • Financial Risk and Volatility Modeling
  • Market Dynamics and Volatility
  • Market Dynamics and Volatility
  • Statistical Methods and Inference
  • Statistical Methods and Inference
Show all subjects (50)
  • Complex Systems and Time Series Analysis
  • Complex Systems and Time Series Analysis
  • Advanced Statistical Methods and Models
  • Advanced Statistical Methods and Models
  • Forecasting Techniques and Applications
  • Forecasting Techniques and Applications
  • Economic theories and models
  • Economic theories and models
  • Spatial and Panel Data Analysis
  • Spatial and Panel Data Analysis
  • Economics of Agriculture and Food Markets
  • Economics of Agriculture and Food Markets
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Bayesian Inference
  • Financial Markets and Investment Strategies
  • Financial Markets and Investment Strategies
  • Stochastic processes and financial applications
  • Stochastic processes and financial applications
  • Consumer Market Behavior and Pricing
  • Consumer Market Behavior and Pricing
  • Economic and Environmental Valuation
  • Economic and Environmental Valuation
  • Advanced Causal Inference Techniques
  • Advanced Causal Inference Techniques
  • Housing Market and Economics
  • Housing Market and Economics
  • Human auditory perception and evaluation
  • Fiscal Policy and Economic Growth
  • Human auditory perception and evaluation
  • Fiscal Policy and Economic Growth
  • Diverse Scientific and Economic Studies
  • Diverse Scientific and Economic Studies
  • Labor market dynamics and wage inequality
  • Labor market dynamics and wage inequality
  • Income, Poverty, and Inequality
  • Income, Poverty, and Inequality
  • Bayesian Methods and Mixture Models
  • Bayesian Methods and Mixture Models
  • Economic Growth and Productivity
  • Economic Growth and Productivity
  • Economic Theory and Policy
  • Economic Theory and Policy

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: