Linking Distress of Financial Institutions to Macrofinancial Shocks
Alexander Al-Haschimi, Stéphane Dées, Filippo di Mauro, Martina Jančoková
ECB Working Paper,
No. 1749,
2014
Abstract
This paper links granular data of financial institutions to global macroeconomic variables using an infinite-dimensional vector autoregressive (IVAR) model framework. The approach taken allows for an assessment of the two-way links between the financial system and the macroeconomy, while accounting for heterogeneity among financial institutions and the role of international linkages in the transmission of shocks. The model is estimated using macroeconomic data for 21 countries and default probability estimates for 35 euro area financial institutions. This framework is used to assess the impact of foreign macroeconomic shocks on default risks of euro area financial firms. In addition, spillover effects of firm-specific shocks are investigated. The model captures the important role of international linkages, showing that economic shocks in the US can generate a rise in the default probabilities of euro area firms that are of a significant magnitude compared to recent historical episodes such as the financial crisis. Moreover, the potential heterogeneity across financial firms.
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Euro Area External Imbalances and the Burden of Adjustment
Filippo di Mauro, Francesco Pappadà
Journal of International Money and Finance,
November
2014
Abstract
The objective of this paper is to explore the consequences of the correction of Euro area trade imbalances on real exchange rates. This analysis requires one additional dimension with respect to the standard Global Imbalances framework à la Obstfeld and Rogoff (2005), since the adjustment takes place within and outside the Euro area. Both types of adjustments are analyzed in a three-country general equilibrium model with a tradable and a non-tradable sectors, and heterogeneous firms built upon Pappadà (2011). ECB (CompNet) data are used to measure the differences in firm size and productivity dispersion across Euro area countries. With respect to the surplus country (Germany), countries running a trade deficit (Spain, Italy) are characterised by a productivity distribution with a lower mean and a less fat right tail. This increases the relative price movement associated with the external adjustment because of the limited role played by the extensive margin. We show that the real exchange rate movements are underestimated when the cross-country differences in terms of productivity distributions are neglected.
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Micro-Based Evidence of EU Competitiveness: The CompNet Database
Filippo di Mauro, et al.
ECB Working Paper,
No. 1634,
2014
Abstract
Drawing from confidential firm-level balance sheets in 11 European countries, the paper presents a novel sectoral database of comparable productivity indicators built by members of the Competitiveness Research Network (CompNet) using a newly developed research infrastructure. Beyond aggregate information available from industry statistics of Eurostat or EU KLEMS, the paper provides information on the distribution of firms across several dimensions related to competitiveness, e.g. productivity and size. The database comprises so far 11 countries, with information for 58 sectors over the period 1995-2011. The paper documents the development of the new research infrastructure, describes the database, and shows some preliminary results. Among them, it shows that there is large heterogeneity in terms of firm productivity or size within narrowly defined industries in all countries. Productivity, and above all, size distribution are very skewed across countries, with a thick left-tail of low productive firms. Moreover, firms at both ends of the distribution show very different dynamics in terms of productivity and unit labour costs. Within-sector heterogeneity and productivity dispersion are positively correlated to aggregate productivity given the possibility of reallocating resources from less to more productive firms. To this extent, we show how allocative efficiency varies across countries, and more interestingly, over different periods of time. Finally, we apply the new database to illustrate the importance of productivity dispersion to explain aggregate trade results.
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Financial Constraints and Foreign Direct Investment: Firm-level Evidence
Claudia M. Buch, I. Kesternich, A. Lipponer, Monika Schnitzer
Review of World Economics,
No. 2,
2014
Abstract
Low productivity is an important barrier to the cross-border expansion of firms. But firms may also need external finance to shoulder the costs of entering foreign markets. We develop a model of multinational firms facing real and financial barriers to foreign direct investment (FDI), and we analyze their impact on the FDI decision. Theoretically, we show that financial constraints can affect highly productive firms more than firms with low productivity because the former are more likely to expand abroad. We provide empirical evidence based on a detailed dataset of German domestic and multinational firms which contains information on parent-level financial constraints as well as on the location the foreign affiliates. We find that financial factors constrain firms’ foreign investment decisions, an effect felt in particular by firms most likely to consider investing abroad. The locational information in our dataset allows exploiting cross-country differences in contract enforcement. Consistent with theory, we find that poor contract enforcement in the host country has a negative impact on FDI decisions.
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Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach
T. Buchmann, D. Hain, Muhamed Kudic, M. Müller
IWH Discussion Papers,
No. 1,
2014
Abstract
Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore whether geographical, network-related, and techno-logical determinants affect the evolution of networks, and if so, as to what extent these determinants systematically differ for science-driven industries compared to scale-intensive industries. Our results provide empirical evidence for the explanatory power of network-related determinants in both industries. The ‘experience effect’ as well as the ‘transitivity effects’ are significant for both industries but more pronounced for laser manufacturing firms. When it comes to ‘geographical effects’ and ‘technological ef-fects’ the picture changes considerably. While geographical proximity plays an important role in the automotive industry, firms in the laser industry seem to be less dependent on geographical closeness to cooperation partners; instead they rather search out for cooperation opportunities in distance. This might reflect the strong dependence of firms in science-driven industries to access diverse external knowledge, which cannot necessarily be found in the close geographical surrounding. Technological proximity negatively influences cooperation decisions for laser source manufacturers, yet has no impact for automotive firms. In other words, technological heterogeneity seems to ex-plain, at least in science-driven industries, the attractiveness of potential cooperation partners.
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The Productivity Effect of Temporary Agency Work: Evidence from German Panel Data
Boris Hirsch, Steffen Müller
Economic Journal,
No. 562,
2012
Abstract
This study investigates the effect of temporary agency work on the user firm’s productivity. We hypothesise that using temporary agency work to enhance numerical flexibility and to screen job candidates may increase productivity, whereas temporary workers’ lower firm-specific human capital and spillover effects on the user’s permanent employees may adversely affect productivity. Other than the sparse existing literature on this issue, we exploit a large panel data set and control for time-invariant and time-varying unobserved heterogeneity by using the system GMM estimator. We find a robust hump-shaped effect of the extent of temporary agency work on the user firm’s productivity.
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The Impact of Firm and Industry Characteristics on Small Firms’ Capital Structure
Hans Degryse, Peter de Goeij, Peter Kappert
Small Business Economics,
No. 4,
2012
Abstract
We study the impact of firm and industry characteristics on small firms’ capital structure, employing a proprietary database containing financial statements of Dutch small and medium-sized enterprises (SMEs) from 2003 to 2005. The firm characteristics suggest that the capital structure decision is consistent with the pecking-order theory: Dutch SMEs use profits to reduce their debt level, and growing firms increase their debt position since they need more funds. We further document that profits reduce in particular short-term debt, whereas growth increases long-term debt. We also find that inter- and intra-industry effects are important in explaining small firms’ capital structure. Industries exhibit different average debt levels, which is in line with the trade-off theory. Furthermore, there is substantial intra-industry heterogeneity, showing that the degree of industry competition, the degree of agency conflicts, and the heterogeneity in employed technology are also important drivers of capital structure.
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Assessing Competitiveness: How Firm-Level Data Can Help
Carlo Altomonte, Filippo di Mauro, Giorgio Barba Navaretti, Gianmarco Ottaviano
Bruegel Policy Contribution,
No. 16,
2011
Abstract
As policymakers refocus on growth, the ability to take a firm-level view is key to disentangling the various factors at the root of competitiveness, and thus to designing appropriate policies. Firm-level data provides critical information for the design of appropriate competitiveness measures that complement traditional macro analysis. More work remains to be done assembling firm-level information, but the variance of the distribution of firm characteristics already conveys important information in addition to standard averages. New indicators should be developed to translate the distribution of firm characteristics into indicators of competitiveness designed to capture not only average performance but also the heterogeneity of firm performance. This Policy Contribution builds on ongoing research within EFIGE (www.efige.org), a project to help identify the internal policies needed to improve the external competitiveness of the European Union.
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Size, Productivity, and International Banking
Claudia M. Buch, C. T. Koch, Michael Koetter
Journal of International Economics,
No. 2,
2011
Abstract
Heterogeneity in size and productivity is central to models that explain which manufacturing firms export. This study presents descriptive evidence on similar heterogeneity among international banks as financial services providers. A novel and detailed bank-level data set reveals the volume and mode of international activities for all German banks. Only a few, large banks have a commercial presence abroad, consistent with the size pecking order documented for manufacturing firms. However, the relationship between internationalization and productivity also yields two inconsistencies with recent trade models. First, virtually all banks hold at least some foreign assets, irrespective of size or productivity. Second, some fairly unproductive banks maintain commercial presences abroad.
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The Impact of Government Procurement Composition on Private R&D Activities
Viktor Slavtchev, Simon Wiederhold
Abstract
This paper addresses the question of whether government procurement can work as a de facto innovation policy tool. We develop an endogenous growth model with quality-improving in-novation that incorporates industries with heterogeneous innovation sizes. Government demand in high-tech industries increases the market size in these industries and, with it, the incentives for private firms to invest in R&D. At the economy-wide level, the additional R&D induced in high-tech industries outweighs the R&D foregone in all remaining industries. The implications of the model are empirically tested using a unique data set that includes federal procurement in U.S. states. We find evidence that a shift in the composition of government purchases toward high-tech industries indeed stimulates privately funded company R&D.
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