Jahrbücher für Nationalökonomie und Statistik

Open Access Published by De Gruyter Oldenbourg

Volume 237 Issue 2 -

Issue of Jahrbücher für Nationalökonomie und Statistik

Contents
Journal Overview

Publicly Available June 13, 2017

Frontmatter

Page range: i-iii

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Original Articles

May 10, 2017

Does Social Media Increase Labour Productivity?

Miruna Sarbu

Page range: 81-113

Abstract

Abstract: Social media applications such as wikis, blogs or social networks are being increasingly applied in firms. These applications can be used for external communication and internal knowledge management. Firms can potentially increase their productivity by optimising customer relationship management, marketing, market research and project management. On the other hand, the use of social media might lead to shirking among employees and might be, in general, very time-consuming preventing employees from managing their normal workload. This might lead to a decrease of labour productivity. This paper analyses the relationship between social media applications and labour productivity using firm-level data of 907 German manufacturing and service firms. The analysis is based on a Cobb-Douglas production function. The results reveal that social media might be related to labour productivity in an negative way which points towards a suboptimal use of social media.

June 2, 2017

Matching as Non-Parametric Preprocessing for the Estimation of Equivalence Scales

Christian Dudel, Jan Marvin Garbuszus, Notburga Ott, Martin Werding

Page range: 115-141

Abstract

Abstract: Empirically analyzing household behavior usually relies on informal data preprocessing. That is, before an econometric model is estimated, observations are selected in such a way that the resulting subset of data is sufficiently homogeneous to be of interest for the specific research question pursued. In the context of estimating equivalence scales for household income, we use matching techniques and balance checking at this initial stage. This can be interpreted as a non-parametric approach to preprocessing data and as a way to formalize informal procedures. To illustrate this, we use German micro-data on household expenditure to estimate equivalence scales as a specific example. Our results show that matching leads to results which are more stable with respect to model specification and that this type of formal preprocessing is especially useful if one is mainly interested in results for specific subgroups, such as low-income households.

Book Reviews

June 2, 2017

Lars P. Feld, Ekkehard A. Köhler und Jan Schnellenbach: Föderalismus und Subsidiarität

Charles B. Blankart

Page range: 143-146

May 4, 2017

Xavier Vives: Competition and Stability in Banking: The Role of Regulation and Competition Policy

Urs Birchler

Page range: 147-150

Data Observer

Open Access October 19, 2016

The Research Data Centre of the Halle Institute for Economic Research – Member of the Leibniz Association FDZ-IWH

Cornelia Lang, Tim Kuttig

Page range: 151-158

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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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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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