7 resultados para Bank results

em Archive of European Integration


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This paper provides concordance procedures for product-level trade and production data in the EU and examines the implications of changing product classifications on measured product adding and dropping at Belgian firms. Using the algorithms developed by Pierce and Schott (2012a, 2012b), the paper develops concordance procedures that allow researchers to trace changes in coding systems over time and to translate product-level production and trade data into a common classification that is consistent both within a single year and over time. Separate procedures are created for the eightdigit Combined Nomenclature system used to classify international trade activities at the product level within the European Union as well as for the eight-digit Prodcom categories used to classify products in European domestic production data. The paper further highlights important differences in coverage between the Prodcom and Combined Nomenclature classifications which need to be taken into account when generating combined domestic production and international trade data at the product level. The use of consistent product codes over time results in less product adding and dropping at continuing firms in the Belgian export and production data.

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This paper studies the effectiveness of Euro Area (EA) fiscal policy, during the recent financial crisis, using an estimated New Keynesian model with a bank. A key dimension of policy in the crisis was massive government support for banks—that dimension has so far received little attention in the macroeconomics literature. We use the estimated model to analyze the effects of bank asset losses, of government support for banks, and other fiscal stimulus measures, in the EA. Our results suggest that support for banks had a stabilizing effect on EA output, consumption and investment. Increased government purchases helped to stabilize output, but crowded out consumption. Higher transfers to households had a positive impact on private consumption, but a negligible effect on output and investment. Banking shocks and increased government spending explain half of the rise in the public debt/GDP ratio since the onset of the crisis.

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The purpose of these working papers is to promote the circulation of research results (Research Series) and analytical studies (Documents Series) made within the National Bank of Belgium or presented by external economists in seminars, conferences and conventions organised by the Bank. The aim is therefore to provide a platform for discussion. The opinions expressed are strictly those of the authors and do not necessarily reflect the views of the National Bank of Belgium.

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The aim of this paper is twofold. First, we present an up-to-date assessment of the differences across euro area countries in the distributions of various measures of debt conditional on household characteristics. We consider three different outcomes: the probability of holding debt, the amount of debt held and, in the case of secured debt, the interest rate paid on the main mortgage. Second, we examine the role of legal and economic institutions in accounting for these differences. We use data from the first wave of a new survey of household finances, the Household Finance and Consumption Survey, to achieve these aims. We find that the patterns of secured and unsecured debt outcomes vary markedly across countries. Among all the institutions considered, the length of asset repossession periods best accounts for the features of the distribution of secured debt. In countries with longer repossession periods, the fraction of people who borrow is smaller, the youngest group of households borrow lower amounts (conditional on borrowing), and the mortgage interest rates paid by low-income households are higher. Regulatory loan-to-value ratios, the taxation of mortgages and the prevalence of interest-only or fixed-rate mortgages deliver less robust results.

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2002 elections: On 31 March 2002, parliamentary elections were held in Ukraine. As expected, they were a major success for the centrist-rightist coalition focused around former Prime Minister Viktor Yuschenko. The communists emerged significantly weaker from the vote, and the "party of power" achieved a poor result. Yet, due to the mixed electoral law (half of the deputies were elected in single-mandate districts), the latter block, firmly supported by President Leonid Kuchma, resulted as the main force in Parliament. The results of particular parties and blocks were as follows: Viktor Yuschenko's Block received 23.57% of votes and 112 seats, the Communist Party of Ukraine - 19.98% of votes and 66 seats, the "For One Ukraine" block - 11.77% of votes and 101 seats, Yulia Tymoshenko's Block - 7.26% of votes and 22 seats, the Socialist Party of Ukraine - 6.87% of votes and 22 seats, and the Social Democratic Party of Ukraine (united) - 6.27% of votes and 24 seats. This shows how the mixed electoral regulations favour "For One Ukraine" and act against Yuschenko's block. One should note, however, that the latter gained the support of less than one quarter of voters. After the election: The dominant force in Ukraine's Verkhovna Rada, elected in March 2002, are the deputies of "One Ukraine", a fraction of the pro-presidential centre. "One Ukraine" has refused to admit any of the opposition's representatives (either from the right or left wings) into the parliament's presidium, but has accepted opposition-appointed heads of many parliamentary commissions. Viktor Yuschenko's "Our Ukraine", which has been the largest parliamentary fraction since June, attempted to proclaim itself the centre of the parliamentary majority, but its policy was awkward and inconsistent, and the main success of this club was that it didn't break up. Viktor Yuschenko's moves have been particularly incoherent and they undermined the image of Yuschenko as Ukraine's future leader, created throughout the course of the electoral campaign. In autumn, the main oligarchic groups and their representative fractions ("One Ukraine", which proved to be a useless instrument, was dissolved in June), reached a compromise with the president. It was agreed that the new prime minister should be a Donetsk clan representative (Viktor Yanukovych), and that the Dnipropetrovsk clan should appoint the president of the National Bank of Ukraine (this position went to Serhij Tihipko). The Kyiv clan obtained the President's Administration (Viktor Medvedchuk was appointed in spring) and a considerable number of parliamentary commissions. The president's interests in the government are to be protected by Mykola Azarov, former Head of the State Tax Administration. This compromise "package" was designed to secure the shares of the main oligarchic clans in the power and the president's strong position as mediator.

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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, the construction of 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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We estimate the 'fundamental' component of euro area sovereign bond yield spreads, i.e. the part of bond spreads that can be justified by country-specific economic factors, euro area economic fundamentals, and international influences. The yield spread decomposition is achieved using a multi-market, no-arbitrage affine term structure model with a unique pricing kernel. More specifically, we use the canonical representation proposed by Joslin, Singleton, and Zhu (2011) and introduce next to standard spanned factors a set of unspanned macro factors, as in Joslin, Priebsch, and Singleton (2013). The model is applied to yield curve data from Belgium, France, Germany, Italy, and Spain over the period 2005-2013. Overall, our results show that economic fundamentals are the dominant drivers behind sovereign bond spreads. Nevertheless, shocks unrelated to the fundamental component of the spread have played an important role in the dynamics of bond spreads since the intensification of the sovereign debt crisis in the summer of 2011