25.05.2018 • 12/2018
The resistance of employers against works councils
Germany votes. However, this time it’s not about the politicians – instead it’s about the works councils. It’s certainly worthwhile: Many studies have shown that works councils all in all have a positive impact on productivity, wages and profits. Despite this, employers are sometimes very resistant to the idea of staff involvement in company decision-making. A common argument is that such participation limits managerial freedom and that employers are willing to sacrifice the benefits of staff participation in return for greater room for manoeuvre. Steffen Müller from the Halle Institute for Economic Research Halle (IWH) – Member of the Leibniz Association now provides an alternative economic justification for employer resistance: Employer associations are dominated by small and medium-sized enterprises, and in these works councils – in contrast to large firms – often produce no positive economic benefits.
Steffen Müller
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Urban Occupational Structures as Information Networks: The Effect on Network Density of Increasing Number of Occupations
Shade T. Shutters, José Lobo, Rachata Muneepeerakul, Deborah Strumsky, Charlotta Mellander, Matthias Brachert, Teresa Farinha, Luis M. A. Bettencourt
Plos One,
forthcoming
Abstract
Urban economies are composed of diverse activities, embodied in labor occupations, which depend on one another to produce goods and services. Yet little is known about how the nature and intensity of these interdependences change as cities increase in population size and economic complexity. Understanding the relationship between occupational interdependencies and the number of occupations defining an urban economy is relevant because interdependence within a networked system has implications for system resilience and for how easily can the structure of the network be modified. Here, we represent the interdependencies among occupations in a city as a non-spatial information network, where the strengths of interdependence between pairs of occupations determine the strengths of the links in the network. Using those quantified link strengths we calculate a single metric of interdependence–or connectedness–which is equivalent to the density of a city’s weighted occupational network. We then examine urban systems in six industrialized countries, analyzing how the density of urban occupational networks changes with network size, measured as the number of unique occupations present in an urban workforce. We find that in all six countries, density, or economic interdependence, increases superlinearly with the number of distinct occupations. Because connections among occupations represent flows of information, we provide evidence that connectivity scales superlinearly with network size in information networks.
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Secrecy, Information Shocks, and Corporate Investment: Evidence from European Union Countries
Mohamad Mazboudi, Iftekhar Hasan
Journal of International Financial Markets, Institutions and Money,
2018
Abstract
This study examines how national culture affects corporate investment. We argue that national culture affects corporate investment efficiency through the level of secrecy that national culture exhibits. Using a sample of firms from eight culturally-diverse European Union countries, we find that the level of secrecy that national culture exhibits is negatively related to corporate investment efficiency after controlling for a number of firm- and country-level factors. We also find that the negative relation between national culture and corporate investment efficiency is mitigated by an exogenous shock to the information asymmetry problem between managers and investors. Our study highlights the importance of the cultural value of secrecy/transparency as a determinant of investment efficiency at the firm-level.
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Early-Stage Business Formation: An Analysis of Applications for Employer Identification Numbers
Kimberly Bayard, Emin Dinlersoz, Timothy Dunne, John Haltiwanger, Javier Miranda, John Stevens
NBER Working Paper,
No. 24364,
2018
Abstract
This paper reports on the development and analysis of a newly constructed dataset on the early stages of business formation. The data are based on applications for Employer Identification Numbers (EINs) submitted in the United States, known as IRS Form SS-4 filings. The goal of the research is to develop high-frequency indicators of business formation at the national, state, and local levels. The analysis indicates that EIN applications provide forward-looking and very timely information on business formation. The signal of business formation provided by counts of applications is improved by using the characteristics of the applications to model the likelihood that applicants become employer businesses. The results also suggest that EIN applications are related to economic activity at the local level. For example, application activity is higher in counties that experienced higher employment growth since the end of the Great Recession, and application counts grew more rapidly in counties engaged in shale oil and gas extraction. Finally, the paper provides a description of new public-use dataset, the “Business Formation Statistics (BFS),” that contains new data series on business applications and formation. The initial release of the BFS shows that the number of business applications in the 3rd quarter of 2017 that have relatively high likelihood of becoming job creators is still far below pre-Great Recession levels.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Heinisch, Rolf Scheufele
Empirical Economics,
No. 2,
2018
Abstract
In this paper, we investigate whether there are benefits in disaggregating GDP into its components when nowcasting GDP. To answer this question, we conduct a realistic out-of-sample experiment that deals with the most prominent problems in short-term forecasting: mixed frequencies, ragged-edge data, asynchronous data releases and a large set of potential information. We compare a direct leading indicator-based GDP forecast with two bottom-up procedures—that is, forecasting GDP components from the production side or from the demand side. Generally, we find that the direct forecast performs relatively well. Among the disaggregated procedures, the production side seems to be better suited than the demand side to form a disaggregated GDP nowcast.
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Hidden Gems and Borrowers with Dirty Little Secrets: Investment in Soft Information, Borrower Self-selection and Competition
Reint E. Gropp, Andre Guettler
Journal of Banking and Finance,
No. 2,
2018
Abstract
This paper empirically examines the role of soft information in the competitive interaction between relationship and transaction banks. Soft information can be interpreted as a valuable signal about the quality of a firm that is observable to a relationship bank, but not to a transaction bank. We show that borrowers self-select to relationship banks depending on whether their observed soft information is positive or negative. Competition affects the investment in learning the soft information from firms by relationship banks and transaction banks asymmetrically. Relationship banks invest more; transaction banks invest less in soft information, exacerbating the selection effect.
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Can Lenders Discern Managerial Ability from Luck? Evidence from Bank Loan Contracts
Dien Giau Bui, Yan-Shing Chen, Iftekhar Hasan, Chih-Yung Lin
Journal of Banking and Finance,
2018
Abstract
We investigate the effect of managerial ability versus luck on bank loan contracting. Borrowers showing a persistently superior managerial ability over previous years (more likely due to ability) enjoy a lower loan spread, while borrowers showing a temporary superior managerial ability (more likely due to luck) do not enjoy any spread reduction. This finding suggests that banks can discern ability from luck when pricing a loan. Firms with high-ability managers are more likely to continue their prior lower loan spread. The spread-reduction effect of managerial ability is stronger for firms with weak governance structures or poor stakeholder relationships, corroborating the notion that better managerial ability alleviates borrowers’ agency and information risks. We also find that well governed banks are better able to price governance into their borrowers’ loans, which helps explain why good governance enhances bank value.
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Differences Make a Difference: Diversity in Social Learning and Value Creation
Yiwei Fang, Bill Francis, Iftekhar Hasan
Journal of Corporate Finance,
2018
Abstract
Prior research has demonstrated that CEOs learn privileged information from their social connections. Going beyond the importance of the number of social ties in a CEO's social network, this paper studies the value generated from a diverse social environment. We construct an index of social-network heterogeneity (SNH) that captures the extent to which CEOs are connected to people of different demographic attributes and skill sets. We find that higher CEO SNH leads to greater firm value through the channels of better corporate innovation and diversified M&As. Overall, the evidence suggests that CEOs' exposure to human diversity enhances social learning and creates greater growth opportunities for firms.
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"The Good News about Bad News": Information about Past Organisational Failure and its Impact on Worker Productivity
Sabrina Jeworrek, Vanessa Mertins, Michael Vlassopoulos
Abstract
Failure in organisations is a very common phenomenon. Little is known about whether past failure affects workers’ subsequent performance. We conduct a field experiment in which we follow up a failed mail campaign to attract new volunteers with a phone campaign pursuing the same goal. We recruit temporary workers to carry out the phone campaign and randomly assign them to either receive or not receive information about the previous failure and measure their performance. We find that informed workers perform better – in terms of both numbers dialed (about 14% improvement) and completed interviews (about 20% improvement) – regardless of whether they had previously worked on the failed mail campaign. Evidence from a second experiment with student volunteers asked to support a campaign to reduce food waste suggests that the mechanism behind our finding relates to contextual inference: Informing workers/volunteers that they are pursuing a goal that is hard to attain seems to add meaning to the work involved, leading them to exert more effort.
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Predicting Earnings and Cash Flows: The Information Content of Losses and Tax Loss Carryforwards
Sandra Dreher, Sebastian Eichfelder, Felix Noth
Abstract
We analyse the relevance of losses, accounting information on tax loss carryforwards, and deferred taxes for the prediction of earnings and cash flows up to four years ahead. We use a unique hand-collected panel of German listed firms encompassing detailed information on tax loss carryforwards and deferred taxes from the tax footnote. Our out-of-sample predictions show that considering accounting information on tax loss carryforwards and deferred taxes does not enhance the accuracy of performance forecasts and can even worsen performance predictions. We find that common forecasting approaches that treat positive and negative performances equally or that use a dummy variable for negative performance can lead to biased performance forecasts, and we provide a simple empirical specification to account for that issue.
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