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Digitalization, Industry Concentration, and Productivity in Germany 德国的数字化、产业集中度和生产力
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-07-15 DOI: 10.1515/jbnst-2020-0058
Benjamin Ferschli, Miriam Rehm, M. Schnetzer, S. Zilian
Abstract This paper investigates the links of digitalization and industry concentration with labor productivity at the sectoral level in Germany. Combining data for digitalization and labor productivity from the EU KLEMS database with firm-level data from the CompNet and Orbis Bureau Van Dijk databases to construct industry concentration measures between 2000 and 2015, we show that (1) the German economy appears to have digitized since 2000, and (2) there is no clear-cut relationship between digitalization and market concentration at the industry level. Using a time and sector fixed effects model and controlling for capital intensity, however, we find evidence for (3) a positive effect of both lagged industry concentration and lagged digitalization on productivity at the sectoral level in Germany. This finding is robust to alternative measures of digitalization and industry concentration as well as to their interaction but sensitive to the sector sample and to scale effects from the capital intensity. We, therefore, cautiously conclude that recent technological change appears to have been labor-saving and that productivity-enhancing aspect of a partial “superstar firm” effect may be identified in the German economy, in particular in its manufacturing sector.
摘要本文从部门层面研究了数字化、产业集中度与德国劳动生产率的关系。结合欧盟KLEMS数据库的数字化和劳动生产率数据,以及CompNet和Orbis Bureau Van Dijk数据库的企业层面数据,构建2000年至2015年的行业集中度测度,我们发现:(1)德国经济自2000年以来似乎已经实现了数字化,(2)在行业层面上,数字化与市场集中度之间没有明确的关系。然而,使用时间和部门固定效应模型并控制资本强度,我们发现(3)在德国,落后的产业集中度和落后的数字化对部门层面的生产率都有积极影响。这一发现对数字化和行业集中度的替代指标以及它们之间的相互作用是稳健的,但对行业样本和资本密集度的规模效应敏感。因此,我们谨慎地得出结论,最近的技术变革似乎已经节省了劳动力,并且在德国经济中,特别是在其制造业中,可以确定部分“超级明星公司”效应的提高生产率方面。
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引用次数: 4
A Comparison of Approaches to Select the Informativeness of Priors in BVARs bvar中先验信息选择方法的比较
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-07-08 DOI: 10.1515/jbnst-2020-0050
Jan Prüser, C. Hanck
Abstract Vector autoregressions (VARs) are richly parameterized time series models that can capture complex dynamic interrelationships among macroeconomic variables. However, in small samples the rich parametrization of VAR models may come at the cost of overfitting the data, possibly leading to imprecise inference for key quantities of interest such as impulse response functions (IRFs). Bayesian VARs (BVARs) can use prior information to shrink the model parameters, potentially avoiding such overfitting. We provide a simulation study to compare, in terms of the frequentist properties of the estimates of the IRFs, useful strategies to select the informativeness of the prior. The study reveals that prior information may help to obtain more precise estimates of impulse response functions than classical OLS-estimated VARs and more accurate coverage rates of error bands in small samples. Strategies based on selecting the prior hyperparameters of the BVAR building on empirical or hierarchical modeling perform particularly well.
向量自回归(VARs)是一种富参数化的时间序列模型,可以捕捉宏观经济变量之间复杂的动态相互关系。然而,在小样本中,VAR模型的丰富参数化可能以数据过拟合为代价,可能导致对关键量(如脉冲响应函数(irf))的不精确推断。贝叶斯var (bvar)可以利用先验信息来缩小模型参数,潜在地避免了这种过拟合。我们提供了一个模拟研究来比较,根据irf估计的频率特性,选择先验信息的有用策略。研究表明,与经典的ols估计var相比,先验信息有助于获得更精确的脉冲响应函数估计,并在小样本中获得更准确的误差带覆盖率。基于经验模型或分层模型选择BVAR先验超参数的策略表现特别好。
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引用次数: 0
IOER Monitor: A Spatio-Temporal Research Data Infrastructure on Settlement and Open Space Development in Germany IOER Monitor:德国聚落与开放空间发展的时空研究数据基础设施
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-05-21 DOI: 10.1515/jbnst-2021-0009
G. Meinel, S. K. Sikder, T. Krueger
Abstract This paper gives a comprehensive introduction to the IOER Monitor – an open research data infrastructure (RDI) in Germany providing domain-specific multi-temporal geospatial datasets, services and visualizations for land use and land cover (LULC)-related development of settlements and open space and closely related topics. Its easy-to-use information system provides multi-scale data offers to form a discussion platform that supports spatial development assessment and evidence-based decision making. It contributes to public land-use change discourses by enhancing information offers that can be adopted by other multi-disciplinary data users - even from non-spatial domains. All data and services are freely available. IOER Monitor is committed to offering continuous services implementing FAIR principles (findable, accessible, interoperable and re-usable) and policy-relevant inputs for transformative spatial development.
本文全面介绍了IOER Monitor——德国的一个开放研究数据基础设施(RDI),为土地利用和土地覆盖(LULC)相关的定居点和开放空间的发展以及密切相关的主题提供特定领域的多时相地理空间数据集、服务和可视化。其易于使用的信息系统提供了多尺度数据,形成了支持空间发展评估和循证决策的讨论平台。它通过加强可被其他多学科数据用户(甚至来自非空间领域)采用的信息提供,促进公共土地利用变化论述。所有的数据和服务都是免费的。IOER Monitor致力于提供符合FAIR原则(可查找、可访问、可互操作和可重复使用)的持续服务,并为变革性空间发展提供与政策相关的投入。
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引用次数: 4
The Fall and Rise of Market Power in Europe 欧洲市场力量的兴衰
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-04-16 DOI: 10.2139/ssrn.3109442
John P. Weche, A. Wambach
Abstract This paper presents an analysis of the recent developments of average market power in Europe by using a broad firm-level database for EU member states. To indicate competitive pressure at the firm-level, markups are estimated following De Loecker, J. (2011). Recovering markups from production data. Int. J. Ind. Organ. 29: 350–355, and De Loecker, J. and Warzynski, F. (2012). Markups and firm-level export status. Am. Econ. Rev. 102: 2437–2471. The analysis reveals a sharp drop in markups during the crisis, followed by a post-crisis increase. The European average has not yet reached its pre-crisis level, which is in contrast to results for the US, where average markups have climbed to pre-crisis levels already in 2011. There is significant heterogeneity among European economies and the pre-crisis levels do have been exceeded in some countries.
摘要本文通过对欧盟成员国广泛的企业层面数据库,分析了欧洲平均市场力量的最新发展。为了表明企业层面的竞争压力,根据De Loecker, J.(2011)估算了加成率。从生产数据中恢复加价。Int。[j] .中国生物医学工程学报,2012(5):357 - 355。加价和公司层面的出口状况。点。经济学。启102:2437-2471。分析显示,在危机期间,利润率大幅下降,随后在危机后上升。欧洲的平均价差尚未达到危机前的水平,这与美国的结果形成鲜明对比,美国的平均价差已在2011年攀升至危机前的水平。欧洲经济体之间存在显著的异质性,一些国家的水平确实已经超过了危机前的水平。
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引用次数: 47
Designing Strategic Games with Preestablished Nash Equilibrium through Artificial Inference and Global Learning 基于人工推理和全局学习的纳什均衡策略博弈设计
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-03-17 DOI: 10.1515/jbnst-2020-0040
Hime A. e Oliveira Jr.
Abstract This work presents novel results obtained by the application of global optimization techniques to the design of finite, normal form games with mixed strategies. To that end, the Fuzzy ASA global optimization method is applied to several design examples of strategic games, demonstrating its effectiveness in obtaining payoff functions whose corresponding games present a previously established Nash equilibrium. In other words, the game designer becomes able to choose a convenient Nash equilibrium for a generic finite state strategic game and the proposed method computes payoff functions that will realize the desired equilibrium, making it possible for the players to reach the favorable conditions represented by the chosen equilibrium. Considering that game theory is a very useful approach for modeling interactions between competing agents and Nash equilibrium represents a powerful solution concept, it is natural to infer that the proposed method may be very useful for strategists in general. In summary, it is a genuine instance of artificial inference of payoff functions after a process of global machine learning, applied to their numerical components.
摘要这项工作提出了将全局优化技术应用于混合策略的有限正态对策设计所获得的新结果。为此,将模糊ASA全局优化方法应用于几个战略博弈的设计实例,证明了其在获得相应博弈呈现先前建立的纳什均衡的回报函数方面的有效性。换言之,游戏设计者能够为一般有限状态战略游戏选择一个方便的纳什均衡,并且所提出的方法计算将实现所需均衡的支付函数,使玩家有可能达到所选均衡所代表的有利条件。考虑到博弈论是一种非常有用的方法来建模竞争主体之间的相互作用,纳什均衡代表了一个强大的解决方案概念,很自然地推断,所提出的方法对战略家来说可能非常有用。总之,这是一个真实的例子,在全局机器学习过程后,人工推断回报函数,并将其应用于其数值分量。
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引用次数: 0
COVID-19 and Financial Markets: A Panel Analysis for European Countries 2019冠状病毒病与金融市场:对欧洲国家的小组分析
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-03-16 DOI: 10.1515/jbnst-2020-0063
Jens Klose, Peter Tillmann
Abstract In order to fight the economic consequences of the COVID-19 pandemic, monetary and fiscal policymakers announced a large variety of support packages which are often unprecedented in size. In this paper, we provide an empirical analysis of the responses of European financial markets to these policy announcements in the spring of 2020. We assemble a granular set of more than 400 policy announcements, both at the national and the European level. We also differentiate between the first announcement in a series of policies and the subsequent announcements because the initial steps were often seen as bad news about the state of the economy. In a panel model, we find that monetary policy, in particular, through asset purchases, is effective in easing the pressure on governmental finances. Stock prices are particularly sensitive to the suspension of the Stability and Growth Pact. Fiscal policy becomes more effective when monetary announcements fall on the same day. We also find sizable cross-border effects of policy announcements.
为了应对COVID-19大流行的经济后果,货币和财政政策制定者宣布了各种各样的支持方案,其规模往往是前所未有的。在本文中,我们对欧洲金融市场对2020年春季这些政策公告的反应进行了实证分析。我们收集了400多项国家和欧洲层面的政策公告。我们还区分了一系列政策中的第一个声明和随后的声明,因为最初的步骤通常被视为有关经济状况的坏消息。在面板模型中,我们发现货币政策,特别是通过资产购买,在缓解政府财政压力方面是有效的。股价对《稳定与增长公约》(Stability and Growth Pact)的中止尤为敏感。当货币政策在同一天宣布时,财政政策会变得更加有效。我们还发现政策公告具有相当大的跨境效应。
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引用次数: 30
Growing Potentials for Migration Research using the German Socio-Economic Panel Study 利用德国社会经济小组研究进行移民研究的日益增长的潜力
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-02-11 DOI: 10.1515/jbnst-2021-0001
Jannes Jacobsen, Magdalena Krieger, Felicitas Schikora, J. Schupp
Abstract This article highlights the potentials for migration research using the German Socio-Economic Panel Study (SOEP), a longitudinal panel dataset of private households in Germany running since 1984. We provide a concise overview of its basic features, describe the survey contents and research potentials, and demonstrate opportunities to link external data sources to the SOEP thereby presenting its diverse and impactful applications in migration research.
摘要本文强调了利用德国社会经济面板研究(SOEP)进行移民研究的潜力,SOEP是一个自1984年以来运行的德国私人家庭纵向面板数据集。本文简要概述了SOEP的基本特征,描述了调查内容和研究潜力,并展示了将外部数据源与SOEP联系起来的机会,从而展示了SOEP在移民研究中的多样化和有影响力的应用。
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引用次数: 9
Aufderheide, Detlef und Martin Dabrowski: Digitalisierung und Künstliche Intelligenz. Wirtschaftsethische und moralökonomische Perspektiven 吕德海德,德莱夫和马丁•达布尔斯基:数字化和人工智能。经济和道德经济观点
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-02-10 DOI: 10.1515/jbnst-2020-0067
Friedhelm Pfeiffer
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引用次数: 0
Green-SÖP: The Socio-ecological Panel Survey: 2012–2016 Green-SÖP:社会生态小组调查:2012-2016
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-02-10 DOI: 10.1515/JBNST-2020-0065
Larissa Klick, G. Kussel, Stephan Sommer
Abstract Evaluating environmental questions is a crucial issue in today’s economic research and policy making. The Green-SÖP offers a comprehensive data base to enrich an empirically led scientific discourse as a survey data set on environmental and energy-related topics in Germany. The data set on more than 6000 households was collected by RWI – Leibniz Institute for Economic Research and partners between 2012 and 2016. The questions are very diverse and range from personal attitudes to environmental policy issues with a special focus on the consequences of climate change and individual behaviors as well as opinions on ecologically related matters.
评估环境问题是当今经济研究和政策制定中的一个关键问题。Green-SÖP提供了一个全面的数据库,以丰富以经验为主导的科学论述,作为德国环境和能源相关主题的调查数据集。这些数据是由RWI -莱布尼茨经济研究所及其合作伙伴在2012年至2016年期间收集的,涉及6000多个家庭。问题非常多样化,从个人态度到环境政策问题,特别关注气候变化的后果和个人行为,以及对生态相关问题的看法。
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引用次数: 3
French Firms and COVID-19: Do the Debt Status, Crisis Management System, and Monetary Policy Play a Role? 法国企业与新冠肺炎:债务状况、危机管理系统和货币政策是否发挥作用?
IF 1.3 4区 经济学 Q1 Social Sciences Pub Date : 2021-01-31 DOI: 10.2139/ssrn.3776603
Mina Sami
Abstract This study has two main objectives: first, it assesses the effect of outbreak pandemic diseases on the French firms’ stock returns by considering the sector of activity as the main center of analysis. Second, it investigates the role of the crisis management system, firm debt strategy, and monetary policy in dealing with the adverse shocks of the major outbreak of the COVID-19. The study results can be summarized as follows: (1) the daily growth in COVID-19 cases and deaths are associated with lower stock returns of the listed firms, especially for the firms operating in the energy, industrial and health care sectors. In contrast, telecommunication and consumer sectors are not significantly affected. (2) The pandemic’s adverse effect is much more tolerant with the French firms with an efficient crisis management system and low long-term debt commitments than the firms that do not have such a system and engaged with long term debts. (3) Euribor rates and monetary policy are still playing an essential role during the pandemic period.
摘要本研究有两个主要目的:首先,通过将活动部门作为主要分析中心,评估疫情对法国公司股票回报的影响。其次,研究了危机管理系统、企业债务战略和货币政策在应对新冠肺炎重大疫情的不利冲击中的作用。研究结果总结如下:(1)新冠肺炎病例和死亡人数的每日增长与上市公司的股票回报率较低有关,尤其是能源、工业和医疗保健行业的公司。相比之下,电信和消费部门没有受到重大影响。(2) 疫情的不利影响对拥有高效危机管理系统和低长期债务承诺的法国公司来说要比没有这样的系统和长期债务的公司宽容得多。(3) 欧元区同业拆借利率和货币政策在疫情期间仍发挥着重要作用。
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引用次数: 3
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Jahrbucher Fur Nationalokonomie Und Statistik
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