Published since January 1, 1863

Jahrbücher für Nationalökonomie und Statistik

Journal of Economics and Statistics

ISSN: 2366-049X

Editor-in-chief: Peter Winker

Edited by: Thiess Büttner, Regina Riphahn, Werner Smolny, Joachim Wagner

Impact Factor: 2.160

About this journal

The Journal of Economics and Statistics (Jahrbücher für Nationalökonomie und Statistik) is a scientific journal published in Germany since 1863. The journal 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. All freely accessible contributions, including the Data Observer articles, can be found via the website's Article search functionality.

Call for Papers

Special Issue on “Atypical Employment”

Guest editors: Regina T. Riphahn, Friedrich-Alexander-Universität Erlangen-Nürnberg
Conny Wunsch, Universität Basel

Timeline: Submission of full papers December 31, 2022

Further details

******************************************************

Call for Papers

Special Issue on “Empirical Studies with Micro-Data from Official Statistics in Germany”

Guest editors: Thomas K. Bauer, Ruhr-University Bochum
Regina T. Riphahn, University of Erlangen-Nürnberg
Joachim Wanger, Leuphana University Lüneburg

Timeline: Submission of full papers June 15, 2022

Further details

History

The Journal of Economics and Statistics was founded in 1863 in Jena by Bruno Hildebrand (editor 1863-1877).

History of the journal

Abstracting and Indexing

Jahrbücher für Nationalökonomie und Statistik is covered by the following services:

ABDC - Australian Business Deans Council
Baidu Scholar
Cabells Journalytics
CNKI Scholar (China National Knowledge Infrastructure)
CNPIEC - cnpLINKer
Dimensions
EBSCO (relevant databases)
EBSCO Discovery Service
EconBiz
ECONIS
EconLit
Google Scholar
IBR (International Bibliography of Reviews of Scholarly Literature in the Humanities and Social Sciences)
IBZ (International Bibliography of Periodical Literature in the Humanities and Social Sciences)
International Bibliography of the Social Sciences (ProQuest)
J-Gate
Journal Citation Reports/Social Sciences Edition
JournalGuide
JournalTOCs
KESLI-NDSL (Korean National Discovery for Science Leaders)
Microsoft Academic
MyScienceWork
Naver Academic
Naviga (Softweco)
Primo Central (ExLibris)
ProQuest (relevant databases)
Publons
QOAM (Quality Open Access Market)
ReadCube
RePEc (Research Papers in Economics): IDEAS, EconPapers
SCImago (SJR)
SCOPUS
Semantic Scholar
Sherpa/RoMEO
Summon (ProQuest)
TDNet
Ulrich's Periodicals Directory/ulrichsweb
WanFang Data
Web of Science - Social Sciences Citation Index
WorldCat (OCLC)
Yewno Discover

Supplementary Materials

Topics

External Links

Online Submission of Manuscripts

Volume 242 Issue 2

April 2022

Publicly Available April 5, 2022

Frontmatter

Page range: i-iii

Download PDF

Original Articles

Open Access February 22, 2022

The Impact of Forecast Errors on Fiscal Planning and Debt Accumulation

Martin Ademmer, Jens Boysen-Hogrefe

Page range: 171-190

More Download PDF

Abstract

We investigate the impact of errors in medium run tax revenue forecasts on the final budget balance. Our analysis is based on fiscal data for the entirety of German states and takes advantage of revenue forecasts and respective errors that can be considered as exogenously given in the budgeting process. We find that forecast errors at various forecast horizons translate considerably into the final budget balance, indicating that expenditure plans get only marginally adjusted when revenue forecasts get revised. Consequently, errors in tax revenue forecasts may considerably affect the accumulation of public debt. Our calculations suggest that a significant share of total debt of German states results from forecasts that were too optimistic.

February 18, 2022

Testing Investment Forecast Efficiency with Forecasting Narratives

Alexander Foltas

Page range: 191-222

Abstract

I analyze the narratives that accompany business cycle forecasting reports of three German institutes using topic models. To this end, I gather multiple similar topics into different economic subject categories, allowing me to map shifting prioritizations within and between these subjects. Subsequently, I examine whether forecasting narratives contain additional information not captured by traditional indicators and include them in a random forest-based investment-forecast efficiency analysis. I find multiple correlations between narratives and forecast errors and conclude that forecasters inefficiently incorporate qualitative information in these cases. I raise the idea that further investigations with more precise identification of forecasting narratives could improve qualitative information processing or lead to scientific guidelines for forecast adjustments.

December 3, 2021

The Role of Non-performing Loans for Bank Lending Rates

Sebastian Bredl

Page range: 223-276

Abstract

Based on bank level data from the euro area, I investigate the role of non-performing loans (NPLs) for lending rates on newly granted loans. The focus is on an effect caused by the stock of NPLs that extends beyond losses that banks have already incorporated into their reported capital positions. The paper assesses the channels through which such an effect occurs. The results indicate that a higher stock of NPLs is associated with higher lending rates. This relation is driven by net NPLs, which constitute the part of NPLs that is not covered by loan loss reserves. Although the stock of NPLs affects banks’ idiosyncratic funding costs as well, the latter do not seem to constitute an important link between the stock of net NPLs and lending behaviour. This is because the relation between idiosyncratic funding costs and lending rates turns out to be rather weak. Furthermore, NPLs do not strongly affect the banks’ interest rate pass-through.

Under Debate

January 28, 2022

Abwanderung, Widerspruch und Camouflage. Reaktionen auf demokratischen Leistungsabfall

Bruno S. Frey

Page range: 277-290

Abstract

Zusammenfassung Albert O. Hirschmans Unterscheidung von „Abwanderung und Widerspruch“ als Antwort auf den Leistungsabfall von Staaten hat grosse Aufmerksamkeit gefunden. Es gibt jedoch eine dritte Antwort, nämlich Camouflage, Stillhalten als Tarnung, bis sich die Bedingungen verbessern. Diese Strategie wird häufig praktiziert, weil ihr Nutzen oft in einem günstigen Verhältnis zu den entstehenden Kosten steht. Die Kosten sind im Fall des Ausstiegs oder des Widerspruches oft hoch. Deshalb tarnt sich eine große Mehrheit der Bürgerinnen und Bürger, wenn sie mit den Ansichten und der Politik eines Regimes nicht einverstanden ist. Sie wartet, bis das unterdrückerische Regime zerbröckelt ist, um im richtigen Moment umso stärker aktiv werden zu können. Camouflage findet auch in privaten Unternehmungen, öffentlichen Einrichtungen und in der Wissenschaft statt. Nutzen und Kosten der drei Reaktionen – Abwanderung, Widerspruch und Camouflage – unterscheiden sich stark voneinander.

Data Observer

Open Access July 30, 2021

SOEP-RV: Linking German Socio-Economic Panel Data to Pension Records

Holger Lüthen, Carsten Schröder, Markus M. Grabka, Jan Goebel, Tatjana Mika, Daniel Brüggmann, Sebastian Ellert, Hannah Penz

Page range: 291-307

More Download PDF

Abstract

The aim of the project SOEP-RV is to link data from participants in the German Socio-Economic Panel (SOEP) survey to their individual Deutsche Rentenversicherung (German Pension Insurance) records. For all SOEP respondents who give explicit consent to record linkage, SOEP-RV creates a linked dataset that combines the comprehensive multi-topic SOEP data with detailed cross-sectional and longitudinal data on social security pension records covering the individual’s entire insurance history. This article provides an overview of the record linkage project, highlights potentials for analysis of the linked data, compares key SOEP and pension insurance variables, and suggests a re-weighting procedure that corrects for selectivity. It concludes with details on the process of obtaining the data for scientific use.

Ahead of Print / Just Accepted

Ahead of Print / Just Accepted

Volume 242 (2022)

Volume 241 (2021)

Volume 240 (2020)

Volume 239 (2019)

Volume 238 (2018)

Volume 237 (2017)

Volume 236 (2016)

Volume 235 (2015)

Volume 234 (2014)

Volume 233 (2013)

Volume 232 (2012)

Volume 231 (2011)

Volume 230 (2010)

Volume 229 (2009)

Volume 228 (2008)

Volume 227 (2007)

Volume 226 (2006)

Volume 225 (2005)

Volume 224 (2004)

Volume 223 (2003)

Volume 222 (2002)

Volume 221 (2001)

Volume 220 (2000)

Volume 219 (1999)

Volume 218 (1999)

Volume 217 (1998)

Volume 216 (1997)

Volume 215 (1996)

Volume 214 (1995)

Volume 213 (1994)

Volume 212 (1993)

Volume 211 (1993)

Volume 210 (1992)

Volume 209 (1992)

Volume 208 (1991)

Volume 207 (1990)

Issue 1

Volume 206 (1989)

Volume 205 (1988)

Volume 204 (1988)

Volume 203 (1987)

Volume 202 (1986)

Issue 1

Volume 201 (1986)

Volume 200 (1985)

Volume 199 (1984)

Volume 198 (1983)

Volume 197 (1982)

Volume 196 (1981)

Volume 195 (1980)

Volume 194 (1979)

Issue 1

Volume 192 (1978)

Volume 191 (1977)

Volume 190 (1976)

Volume 189 (1975)

Volume 188 (1974)

Volume 187 (1973)

Volume 186 (1972)

Volume 185 (1971)

Volume 184 (1970)

5-year Impact Factor	1.433
Cite Score	1.9
Impact Factor	2.160
Journal Citation Indicator	0.78
SCImago Journal Rank	0.687
Source Normalized Impact per Paper	1.167

Submit

Manuscripts must be submitted on https://mc.manuscriptcentral.com/jbnst as either

Word file
PDF plus TeX source files in a ZIP archive.

Preceding the text, the following details are to be listed on the manuscript in the following order:

Title in English,
Author name(s) and affiliation (at least institution, city, and country),
Abstract in English,
Keywords in English,
JEL Classification (code only, e.g. H68).

Citations, Footnotes, Bibliography

Citations must follow the Harvard reference style: Steiner and Wagner (1998: 5), or (Steiner and Wagner 1998: 110 ff.); if there are more than two authors: Boucekkine et al. (2002: 53f.).
Several citations within parentheses are separated by semicolon: (Steiner and Wagner 1998; Spengler 2004).
The bibliography must also follow the Harvard reference style, see examples:
Andreasen, N.C. (2001). Brave new brain: conquering mental illness in the era of the genome. Oxford University Press, Oxford.
Melitz, Marc J. (2003). The impact of trade on intra-industry reallocations and aggregate industry productivity. Econometrica 71: 1695–1725.
Ferres, K. (2001). Idiot box: television, urban myths and ethical scenarios. In: Craven, I. (Ed.). Australian cinema in the 1990s. Frank Cass, London, pp. 175–188.
Fayadh, K.H. (2015). The legal regulation of assisted reproductive technology in Iraq: lessons from the Australian approach, Ph.D. thesis. Penrith, Western Sydney University. Available at: https://www.example_website.com/source (accessed 27 May 2009).
Footnote numerals in the text appearing at the end of a sentence or clause are placed behind the punctuation mark. Footnotes in the main title or with the author’s name use the star symbol (*), they will be converted to article and author notes. Regular footnotes use superscript Arabic numerals (¹).
For numbers in your text, tables and graphs, please use the correct German and English notation, depending on the language of your paper: German: 10,8 / 5.000.000, English: 10.8 / 5,000,000
Appendices should be named „Appendix A, „Appendix B" etc.

Figures

All figures must be uploaded as separate files in eps-, jpg-, or png-format, depending on image type. Grids are to be avoided.

Book reviews

Journal of Economics and Statistics also publishes book reviews. The editors invite authors for the review of selected books. The length of book reviews is typically between 0,5 and 3 manuscript pages. Book reviews can be submitted on https://mc.manuscriptcentral.com/jbnst. They should include the following information:

The heading should include the title of the book, the publisher, year of publication, number of pages, price, and ISBN (including the dashes)
The reviewers’ affiliation

Editing time

The editors of the Journal of Economics and Statistics try to provide a fast first feedback to the authors of submitted manuscripts. Nevertheless, screening and reviewing of the submissions requires some time. In the last 5 years, the median time until the first feedback to the authors amounted to 90 days, while the 90 percent quantile was slightly below five months.

If the authors are invited to resubmit a revised version of their paper, this revision usually should be provided within three months.

Data Archive

The Journal of Economics and Statistics (Jahrbücher für Nationalökonomie und Statistik) maintains a Data Archive in cooperation with ZBW (https://journaldata.zbw.eu/journals/jbnst). Authors of accepted papers are expected to deposit a complete set of all data used for their analysis in electronic form. Further details will be provided after acceptance of the paper.

Hybrid Open Access

In this journal, authors have the option to publish their article under an open access license. Open Access allows you as an author to retain copyright and share your findings with colleagues and interested parties worldwide without any restraints.
Please note that authors from institutions with which we have a transformative agreement can publish open access without paying an article processing charge (APC). More information on the eligible institutions and articles can be found under the "Funding and Support" tab here.