journal: Jahrbücher für Nationalökonomie und Statistik

Impact Factor: 1.3

Open Access 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

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.

Journal of Economics and Statistics now also at Twitter.

Subscribe to Open

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.

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Call for Papers

Special Issue on "Sports Economics"

Guest Editors: Bernd Frick, Paderborn University; Thomas Peeters, Erasmus University Rotterdam; Rob Simmons, Lancaster University

Timeline: Submission of full papers November 30, 2023

Further details

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Special Issue on "Advancing Agent-Based Economics"

Guest Editors: Michael Neugart, Technical University of Darmstadt) and Frank Westerhoff, University of Bamberg

Timeline: Submission of full papers December 31, 2023

Further details

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Special Issue on "Central Bank Digital Currency"

Guest Editors: Katrin Assenmacher, European Central Bank and Michael Frenkel, WHU

Timeline: Submission of full papers January 08, 2024

Further details

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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

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Supplementary Materials

Topics

External Links

Online Submission of Manuscripts

Volume 243 Issue 3-4

June 2023

Publicly Available August 29, 2023

Frontmatter

Page range: i-iv

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Editorial

Open Access August 28, 2023

Empirical Studies with Micro-Data from Official Statistics in Germany

Joachim Wagner, Thomas K. Bauer, Regina T. Riphahn

Page range: 197-198

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Special Issue Articles

Open Access July 25, 2023

German Firms in International Trade: Evidence from Recent Microdata

Matthias Fauth, Benjamin Jung, Wilhelm Kohler

Page range: 199-284

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Abstract

In this paper, we zoom in on the firm level of German merchandise foreign trade, using a novel data base with information on the export and import value by firm, country, product and year for the period 2011–2019. Problems arising from the consolidated reporting of taxable entities and the reporting thresholds present in intra-EU trade have been largely eliminated through redistributions conducted by DESTATIS. Using the data, we examine how global German firms are by looking at the joint distribution of the number of products they trade and the number of countries they trade with. Moreover, we examine the importance of firms mainly engaged in trade intermediation, as opposed to production. Most importantly, we provide a rich description of heterogeneity among German firms by decomposing their trade relationships into intensive margins (value of trade) and extensive margins (number of firms, products and countries). We describe the distributions for each margin, distinguishing intra-EU and extra-EU trade as well as different firm types (producers, wholesalers, retailers). Finally, we reveal strong positive correlations between and within importing and exporting margins, supporting the presence of firm-level complementarities implied by recent theory.

Open Access December 20, 2022

Localising the Upper Tail: How Top Income Corrections Affect Measures of Regional Inequality

Jana Emmenegger, Ralf Münnich

Page range: 285-317

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Abstract

Poor coverage of top incomes in surveys, also referred to as the “missing rich” problem, leads to severe underestimation of income inequality. At the regional level this shortcoming is even more eminent due to small regional sample sizes. Tax records contain more accurate income information at the top and cover all regions equally well. Top-income correction approaches tackle the missing rich problem by imputing top incomes from tax to survey data. While existing methods focus on adjustments at the national level, our paper provides corrections of the regional income distributions in survey data by exploiting the tax data’s regional variability. We impute top incomes in the survey data from the German Microcensus based on region-specific Pareto and generalized Pareto distributions estimated from tax records. The combined survey and tax data provide new estimates of regional income inequality in Germany. Our findings indicate that inequality between and within the regions is much larger than previously understood with the magnitude of the adjustment depending on the federal states’ level of inequality in the tail.

Open Access May 12, 2023

Energy Use Patterns in German Manufacturing from 2003 to 2017

Kathrine von Graevenitz, Elisa Rottner

Page range: 319-354

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Abstract

The manufacturing sector accounts for a substantial share of the German gross domestic product, employment and carbon emissions. Therefore, reducing its energy use and carbon emissions is of crucial importance to Germany’s energy Transition. In this paper, we analyse energy use patterns in German manufacturing between 2003 and 2017, using rich administrative micro-data. We find that although the manufacturing sector has been faced with rising energy costs as a share of total costs, energy use has not declined except briefly during the economic crisis. We also find that energy intensity, and to a larger degree, carbon intensity follow a decreasing trend between 2003 and 2017. The stronger response of the latter variable can be attributed to changes in the fuel mix.

Open Access August 14, 2023

What Does the German Minimum Wage Do? The Impact of the Introduction of the Statutory Minimum Wage on the Composition of Low- and Minimum-Wage Labour

Matthias Dütsch, Orkun Altun, Luisa Grundmann, Ralf Himmelreicher

Page range: 355-396

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Abstract

In this article, we examine structural changes in minimum wage and low wage labor following the introduction and first increase of the German minimum wage. Changes in the impact that workers face earning gross hourly wages below the minimum-wage or low-wage thresholds are identified by comparing individual, company and sectoral characteristics based on the Structure of Earnings Surveys (SESs) 2014 and 2018. The SES is a mandatory survey of companies that provides information on wages and working hours for approximately 1 million jobs and nearly 70,000 companies across all industries. Using these rich data, we present the first systematic analysis of how structural changes in individual-, company-, and industry-level determinants affect minimum- and low-wage workers. Using descriptive analysis, we first summarize the changing pattern in jobs, companies, and industries after the introduction of minimum wage. Second, we use random intercept-only models to estimate the explanatory power at the individual, company, and industry levels in 2014 and 2018. Third, we perform logistic and linear regression estimations to assess the changing trends in having a minimum- or low-wage job and the distance between a worker’s actual earnings and the minimum- and low-wage thresholds. We conclude that the minimum wage had an elevator effect on minimum wage labor. However, compositional effects regarding the minimum-wage and low-wage workforce were evident in terms of individual and company factors. There was a selective redistribution of minimum wage employees into slightly higher wage ranges. Furthermore, convergence seems to have occurred predominantly among sectors, as their explanatory power for lower wages declined.

Data Observer

Open Access August 31, 2022

Micro Data on Robots from the IAB Establishment Panel

Verena Plümpe, Jens Stegmaier

Page range: 397-413

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Abstract

Micro-data on robots have been very sparse in Germany so far. Consequently, a dedicated section has been introduced in the IAB Establishment Panel 2019 that includes questions on the number and type of robots used. This article describes the background and development of the survey questions, provides information on the quality of the data, possible checks and steps of data preparation. The resulting data is aggregated on industry level and compared with the frequently used robot data by the International Federation of Robotics (IFR) which contains robot supplier information on aggregate robot stocks and deliveries.

Open Access August 19, 2022

The German Local Population Database (GPOP), 1871 to 2019

Felix Roesel

Page range: 415-430

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Abstract

I present the first database of historical local population figures for all Germany. The German Local Population Database (GPOP) includes total population in 1871, 1910, 1939, 1946, 1961, 1987, 1996, 2011, and 2019 for the universe of all German municipalities, counties, and states at consistent contemporary boundaries (31 December 2019). The database was hand-collected and assembled from more than 50 sources. The data reflect 150 years of regional development and disparities in Germany. For example, East and West Germany are heavily diverging in population since 1945; and the divide was not reversed but even doubled after reunification.

Open Access September 7, 2022

Corona Monitoring Nationwide (RKI-SOEP-2): Seroepidemiological Study on the Spread of SARS-CoV-2 Across Germany

Susanne Bartig, Herbert Brücker, Hans Butschalowsky, Christian Danne, Antje Gößwald, Laura Goßner, Markus M. Grabka, Sebastian Haller, Doris Hess, Isabell Hey, Jens Hoebel, Susanne Jordan, Ulrike Kubisch, Wenke Niehues, Christina Poethko-Mueller, Maximilian Priem, Nina Rother, Lars Schaade, Angelika Schaffrath Rosario, Martin Schlaud, Manuel Siegert, Silke Stahlberg, Hans W. Steinhauer, Kerstin Tanis, Sabrina Torregroza, Parvati Trübswetter, Jörg Wernitz, Lothar H. Wieler, Hendrik Wilking, Sabine Zinn

Page range: 431-449

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Abstract

SARS-CoV-2, the coronavirus, spread across Germany within just a short period of time. Seroepidemiological studies are able to estimate the proportion of the population with antibodies against SARS-CoV-2 infection (seroprevalence) as well as the level of undetected infections, which are not captured in official figures. In the seroepidemiological study Corona Monitoring Nationwide (RKI-SOEP-2), biospecimens and interview data were collected in a nationwide population-based subsample of the Socio-Economic Panel (SOEP). By using laboratory-analyzed blood samples to detect antibodies to the SARS-CoV-2 virus, we were able to identify a history of vaccination or infection in study participants. By combining these results with survey data, we were able to identify groups within the population that are at increased risk of infection. By linking the RKI-SOEP-2 survey data with data from other waves of the SOEP survey, we will be able to examine the medium- to long-term impacts of the COVID-19 pandemic, including effects of long COVID, in diverse areas of life. Furthermore, the data provide insight into the population’s willingness to be vaccinated as well as related attitudes and conditions. In sum, the RKI-SOEP-2 survey data offer a better understanding of the scope of the epidemic in Germany and can help in identifying target groups for infection control in the present and future pandemics.

Open Access October 6, 2022

The ZEW Financial Market Survey Panel

Frank Brückbauer, Michael Schröder

Page range: 451-469

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Abstract

The ZEW Financial Market Survey is a monthly panel survey among financial market experts that was launched in December 1991. The survey focuses on the experts’ expectations about international financial markets and macroeconomic developments. We describe the ZEW Financial Market Survey and the resulting research dataset, which is available for free for academic researchers, is large and includes long individual time series (99,001 responses by 2002 respondents, as of September 2021), and contains rich information on the financial market experts collected over the years and which can be combined with the data on expectations.

Ahead of Print / Just Accepted

Ahead of Print / Just Accepted

Volume 243 (2023)

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)

Journal Impact Factor	1.3	2022, Journal Citation Reports (Clarivate, 2023)
5-year Journal Impact Factor	2.2	2022, Journal Citation Reports (Clarivate, 2023)
Journal Citation Indicator	0.85	2022, Journal Citation Reports (Clarivate, 2023)
CiteScore	5.1	2022, Scopus (Elsevier B.V., 2023)
SCImago Journal Rank	2.494	2022, SJR (Scimago Lab, 2023; Data Source: Scopus)
Source Normalized Impact per Paper	1.735	2022, CWTS Journal Indicators (CWTS B.V., 2023; Data Source: Scopus)

More information about journal rankings

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.