Jahrbücher für Nationalökonomie und Statistik

Open Access Published by De Gruyter Oldenbourg

Volume 241 Issue 2

Issue of Jahrbücher für Nationalökonomie und Statistik

Contents
Journal Overview

Publicly Available March 2, 2021

Original Articles

Open Access July 6, 2020

Measuring Tolerant Behavior

Caterina Liberati, Riccarda Longaretti, Alessandra Michelangeli

Page range: 149-171

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Abstract

This paper addresses the issue of measuring tolerance, viewed as a multifaceted phenomenon involving several different social domains. We develop a multidimensional index for Likert-scale data, characterized by the following features: (i) it reflects the individual’s intensity of tolerant attitudes towards each social domain; (ii) the index can be broken down by dimension in order to determine the contribution of each dimension to overall tolerance; (iii) the index combines the different dimensions of tolerance using a weighted scheme that reflects the importance of each dimension in determining the overall level of tolerance. To show how this new measure of tolerance works in practice, we carry out a case study using an Italian recent survey asking the opinion of university students about different subjects, such as interreligious dialog, women/religion relationship, religion/death relationship, homosexuality, and multicultural society.

November 4, 2020

Returns to Scale as an Established Scaling Indicator: Always a Good Advisor?

Andreas Dellnitz, Wilhelm Rödder

Page range: 173-186

Abstract

In data envelopment analysis (DEA), returns to scale (RTS) are a widely accepted instrument for a company to reveal its activity scaling potentials. In the case of increasing returns to scale (IRS), a company learns that upsizing activities improves its productivity. For decreasing returns to scale (DRS), the instrument likewise should depict a downsizing force, again for improving productivity. Unfortunately, here the classical RTS concept shows misbehavior. Under certain circumstances, it is the wrong indicator for scaling activities and even hides respective productivity improvement potentials. In this paper, we study this phenomenon, using the DEA concept, and illustrate it via little numerical examples and a real-world application consisting of 37 Brazilian banks.

January 12, 2021

The Nonlinear Dynamics of Corporate Bond Spreads: Regime-Dependent Effects of their Determinants

Henning Fischer, Oscar Stolper

Page range: 187-238

Abstract

This paper studies the behavior of corporate bond spreads during different market regimes between 2004 and 2016. Applying a Markov-switching vector autoregressive (MS-VAR) model, we document that the dynamic impact of spread determinants varies substantially with market conditions. In periods of high volatility, systematic credit risk—rather than interest rate movements—contributes to driving up spreads. Moreover, while market-wide liquidity risk is not priced when volatility is low, it becomes a crucial factor during stress periods. Our results challenge the notion that spreads predominantly capture credit risk and suggest it must be reassessed during periods of financial distress.

January 14, 2021

The Effect of Rapid Structural Change on Workers

Eva Weigt

Page range: 239-285

Abstract

This paper deals with the question how workers’ labour market and non-monetary outcomes are impacted by a negative sector-specific labour demand shock. This issue is analysed in a setting of rapid structural change that happened in Eastern Germany after the fall of the Berlin Wall in 1989. The sector-specific labour demand shock can be assumed to be exogenous to other worker characteristics as it was not anticipated and as career planning was highly restricted in the GDR. Using survey data from the German Socio-Economic Panel (SOEP), I find considerable and partly persistent losses in labour market outcomes of workers from declining compared to booming industries. Life satisfaction of workers from declining industries is decreased in the short run whereas the probability to move to the West and to identify with a left-wing political party is increased merely in the longer run.

Data Observer

Publicly Available October 16, 2020

BAuA-Working Time Survey (BAuA-WTS; BAuA-Arbeitszeitbefragung)

Anne M. Wöhrmann, Corinna Brauner, Alexandra Michel

Page range: 287-295

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Abstract

BAuA-Working Time Survey (BAuA-WTS) is a micro data panel study covering aspects of working time, other working conditions, health, and well-being. It is representative of people working least 10 h per week in Germany. Data were collected via computer-assisted telephone interviews. So far, three panel waves have been conducted (2015, 2017, and 2019). Further biennial waves are planned. Scientific use files of the first two waves can be accessed at www.baua.de/forschungsdaten and be used free of charge by the scientific community after registration.

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.

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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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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 January 15, 2024

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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Volume 241 Issue 2

Issue of Jahrbücher für Nationalökonomie und Statistik

Frontmatter

Measuring Tolerant Behavior

Abstract

Returns to Scale as an Established Scaling Indicator: Always a Good Advisor?

Abstract

The Nonlinear Dynamics of Corporate Bond Spreads: Regime-Dependent Effects of their Determinants

Abstract

The Effect of Rapid Structural Change on Workers

Abstract

BAuA-Working Time Survey (BAuA-WTS; BAuA-Arbeitszeitbefragung)

Abstract