Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Bulgaria
This Selected Issues paper investigates the role of debt overhang in explaining weak nonfinancial corporate (NFC) investment in Bulgaria using firm-level data. The study confirms a negative association between measures of debt overhang and investment for Bulgarian NFCs using firm-level data. Bulgaria’s NFCs are the most leveraged among new member states. The findings suggest that high NFC debt overhang could be an important drag on investment. While credit demand is likely to pick up in line with economic activity, high NFC indebtedness could continue to stand in the way of corporate credit recovery. A possible direction for future work is to investigate the existence of different investment cycles across business activities/sectors, and their role in explaining the identified negative relationship. Policies that help reduce the corporate debt overhang could help boost credit and growth. Policy initiatives such as an efficient corporate debt restructuring framework and tax measures could help corporate deleveraging. The findings suggest that high corporate debt could be an important drag on investment.
Romania
This Selected Issues paper estimates a small open economy model that makes it possible to quantify the relative strength of the trade and financial channels in Hungary, Poland. and Romania. The Bayesian results indicate that both the trade and financial channels are strongest for Romania, possibly owing to the expansion of financial balance sheets and lower integration into global supply chains. For all countries, tighter domestic monetary conditions result in reduction of output and currency appreciation, although the magnitude of appreciation is less in Romania compared with peers. The trade channel is also dominant in the transmission of foreign monetary policy shocks, which result in output losses and currency depreciation.
Shapes in Action
Shapes in Action is a book for all those interested in interdisciplinary research and education. It showcases explorations in the realms of mathematics, art, design and architecture at Aalto University in Finland. For a decade, Aalto Math&Arts has been a platform for students and teachers from diverse fields to broaden their understanding of the nature of mathematics and its potential relation to arts, design and architecture. Shapes in Action captures the challenges and rewards of seeking a common language and building collaboration. Contributions by various authors offer insights into the connections between mathematics and arts – both within and beyond academia. Shapes in Action is richly illustrated with photographs showcasing the works created by students in the Aalto Math&Arts courses.
Wage Growth and Inflation in Europe: A Puzzle?
Wages have been rising faster than productivity in many European countries for the past few years, yet signs of underlying consumer price pressures remain limited. To shed light on this puzzle, this paper examines the historical link between wage growth and inflation in Europe and factors that influence the strength of the passthrough from labor costs to prices. Historically, wage growth has led to higher inflation, but the impact has weakened since 2009. Empirical analysis suggests that the passthrough from wage growth to inflation is significantly lower in periods of subdued inflation and inflation expectations, greater competitive pressures, and robust corporate profitability. Thus the recent pickup in wage growth is likely to have a more muted impact on inflation than in the past.
Taxing Multinationals in Europe
This paper aims to contribute to the European policy debate on corporate income tax reform in three ways. First, it takes a step back to review the performance of the CIT in Europe over the past several decades and the important role played by MNEs in European economies. Second, it analyses corporate tax spillovers in Europe with a focus on the channels and magnitudes of both profit shifting and CIT competition. Third, the paper examines the progress made in European CIT coordination and discusses reforms to strengthen the harmonization of corporate tax policies, in order to effectively reduce both tax competition and profit shifting.
European Wage Dynamics and Spillovers
Wage rises have remained stubbornly low in advanced Europe in recent years, but, at the same time, newer EU members are experiencing rapid wage acceleration. This paper investigates the drivers of this wage divergence. Econometric analysis using error correction models suggests that wage growth responds more quickly to changes in unemployment in the newer EU members than in advanced Europe, where wages are more closely related to inflation and inflation expectations in the short run, implying greater inertia in nominal wage rises in advanced Europe. In the years after the global crisis, this inertia contributed to the build up of a real wage overhang relative to sharply slowing labor productivity, which subsequently dragged on nominal wage rises even as unemployment began to decline. Spillovers of subdued wage growth between euro area countries also weighed on wage rises in advanced Europe.
Ireland: Selected Issues
Selected Issues
Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.
Switzerland: Selected Issues
Selected Issues
