Journal of Economics and Statistics

Cover Journal of Economics and Statistics The Journal of Economics and Statistics (Jahrbücher für Nationalökonomie und Statistik) is a scientific journal published in Germany since 1863, since 2016 by De Gruyter Oldenbourg. Please find additional information as well as all volumes, issues and abstracts on the publishers page of the Journal of Economics and Statistics.

The Journal of Economics and Statistics publishes papers in all fields of economics and applied statistics. A specific focus is on papers combining theory with empirical analyses.

Papers providing conclusions for economic policy in Europe are particularly welcome. Nevertheless, distinguished papers dealing exlusively with economic theory, empirical models, or economic history, will not be excluded from consideration.

The editors invite replication studies focusing on the robustness of empirical findings.

The section Data Observer presents articles on data sets available for empirical research and institutions providing research data. The journal also publishes special issues, short comments, and book reviews.

News

New Call for Papers for Special Issue "Empirical Studies with Micro-Data from the German Pension Insurance"

Guest Editors: Axel Börsch-Supan (Munich Reserach Istitute for the Economics of Aging and SHARE Analysis, MEA), Martin Brussig (University Duisburg), and Tatjana MIka (German Pension Insurance, DRV); extended deadline for abstract: 31.3.2024 (abstracts should be sent to fdz-rv-berlin@drv-bund.de), deadline for full paper: 18.8.2024

The full call for papers with further details can be found here.

 

Best Paper Award 2022

To mark the 160th birthday of the Journal of Economics and Statistics (founded in 1863), the editorial board of the Journal decided to establish a best paper award each year for the best paper published in the previous year. The award is given to an article for its originality, contribution and impact. The Best Paper Award 2022 goes to

The Impact of Forecast Errors on Fiscal Planning and Debt Accumulation

by Martin Ademmer and Jens Boysen-Hogrefe, published in volume 242 (2), 171–190.

 

Subscribe to Open ("Diamant Open Access")

Starting 2023, the Journal of Economics and Statistics will be transferred to Diamond Open Access on a year-by-year basis. All articles will thus immediately appear under the Creative Commons license CC-BY. There will be no publication costs for the authors.

The Open Access transformation is based on Subscribe-to-Open, an alternative model that enables the full Open Access transformation of journals through the continuation of existing subscriptions. The prerequisite for successful transformation is that subscriptions are continued to the same extent as before. The editors of the Journal of Economics and Statistics and the publisher De Gruyter would therefore like to thank all subscribers for their support, which has made the transformation to Open Access possible.

 

Journal of Economics and Statistics now also at Twitter

 

New Section Data Observer

Since January 2016, the Journal of Economics and Statistics comprises a new section "Data Observer" for free download at Content/Data observer. The papers in this section describe datasets available for empirical research and provide details on how to obtain access to these datasets for research.

 

Recently published articles

  • Weight Loss and Sexual Activity in Adult Obese Individuals: Establishing a Causal Link, 243/6 (2023)

  • A Welfare Economic Approach to Planetary Boundaries, 243/5 (2023)

  • Localising the Upper Tail: How Top Income Corrections Affect Measures of Regional Inequality, 243/3-4 (2023)

  • A New INAR(1) Model for Z-Valued Time Series Using the Relative Binomial THinning Operator, 243/2 (2023)

  • Political Ignorance and the Internet, 243/1 (2023)

  • Redistribution in a Globalized World, 242/5-6 (2022)

  • A Tripolar Model of Gas Price Formation in Germany. Does the Shale Revolution in the US Matter? 242/4 (2022)

  • The Untold Story of MIdijobs, 242/3 (2022)

  • Testing Investment Forecast Efficiency with Forecasting Narratives, 242/2 (2022)

 

 



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