1,477 research outputs found

    Determinants of bank interest margins in Russia: Does bank ownership matter?

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    This paper analyzes interest margin determinants in the Russian banking sector with a particular emphasis on the bank ownership structure. Using a unique bank-level data covering Russia’s entire banking sector for the 19992007 period, we find that the impact of a number of commonly used determinants such as market structure, credit risk, liquidity risk and size of operations differs across state-controlled, domestic-private and foreign-owned banks. At the same time, the influence of operational costs and bank risk aversion is homogeneous across ownership groups. The results overall suggest the form of bank ownership needs to be considered when analyzing interest margin determinants.bank interest margins; financial intermediation; Russia

    Data from: Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson’s Disease

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    The .csv files contain all the motor factor scores, cross-validated feature weights, and cross-validated accuracy for figures 1, 2A, and 2B from the publication entitled "Individual Magnetoencephalography Response Profiles to Short- Duration L-Dopa in Parkinson's Disease" (Peña et al 2021 Frontiers in Human Neuroscience, DOI: 10.3389/fnhum.2021.640591).Clinical responses to dopamine replacement therapy for individuals with Parkinson’s disease (PD) are often difficult to predict. We characterized changes in MDS-UPDRS motor factor scores resulting from a short-duration L-Dopa response (SDR), and investigated how the inter-subject clinical differences could be predicted from motor cortical magnetoencephalography (MEG). MDS-UPDRS motor factor scores and resting-state MEG recordings were collected during SDR from twenty individuals with a PD diagnosis. We used a novel subject-specific strategy based on linear support vector machines to quantify motor cortical oscillatory frequency profiles that best predicted medication state. Motor cortical profiles differed substantially across individuals and showed consistency across multiple data folds. There was a linear relationship between classification accuracy and SDR of lower limb bradykinesia, although this relationship did not persist after multiple comparison correction, suggesting that combinations of spectral power features alone are insufficient to predict clinical state. Factor score analysis of therapeutic response and novel subject-specific machine learning approaches based on subject-specific neuroimaging provide tools to predict outcomes of therapies for PD.King Fahad Medical CityNational Science Foundation (00039202 to E.P.)National Institutes of Health (R01-NS094206 and P50-NS098573)Peña, Edgar; Mohammad, Tareq M; Almohammed, Fedaa; AlOtaibi, Tahani; Nahrir, Shahpar; Khan, Sheraz; Poghosyan, Vahe; Johnson, Matthew D; Bajwa, Jawad A. (2021). Data from: Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson’s Disease. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/r6af-pj55

    Determinants of Cross-Border Bank Acquisitions in Transition Economies: A Latent Class Analysis

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    We analyze the microeconomic determinants of cross-border bank acquisitions in 16 transition economies over the period 1996-2006. By using a latent class discrete choice model we explicitly incorporate the macroeconomic and institutional heterogeneity of the transition economies into our analysis. We find that foreign banks target relatively large and efficient banks when they enter transition economies with weak institutions. This evidence provides support for the market power hypothesis. However, when foreign banks enter more developed transition economies that have made progress in economic reform, they acquire less efficient banks. This result is in line with the efficiency hypothesis.cross-border bank acquisitions, latent class logistic model, transition economie

    Addressing the education puzzle : the distribution of education and economic reform

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    No country has achieved sustained economic development without substantially investing in human capital. Previous studies have shown the handsome returns to various forms of basic education, research, training, learning-by-doing, and capacity-building. But education by itself does not guarantee successful development, as history has shown in the former Soviet bloc, Sri Lanka, the Philippines, and the Indian states of Kerala and West Bengal. The question is, when and how does education bring high payoffs? Although theory has suggested a strong causal link between education and growth, the empirical evidence has not been unanimous and conclusive. The authors examine two explanatory factors. First, who gets educated matters a good deal, but the distribution of education is complex and not much has been written about it. They construct an asset allocation model that elucidates the importance of the distribution of education to economic development. Second, how education affects growth is greatly affected by the economic policy environment. Policies determine what people can do with their education. Reform of trade, investment, and labor policies can increase the returns from education. Using panel data from 12 Asian and Latin American countries for 1970-94, they investigate the relationship between education, policy reform, and economic growth. Their empirical results are promising. First, the distribution of education matters. Unequal distribution of education tends to have a negative impact on per capita income in most countries. Moreover, controlling for human capital distribution and the use of appropriate functional form specifications consistent with the asset allocation model makes a difference for the effect of average schooling on per capita income. Controlling for education distribution leads to positive and significant effects of average schooling on per capita income, while failure to do so leads to insignificant, even negative effects, of average education. Second, the policy environment matters a great deal. Our results indicate that economic policies that suppress market forces tend to dramatically reduce the impact of human capital on economic growth. Investment in human capital can have little impact on growth unless people can use education in competitive and open markets. The larger and more competitive these markets are, the greater are the prospects for using education and skills.Curriculum&Instruction,Economic Theory&Research,Decentralization,Public Health Promotion,Health Monitoring&Evaluation,Health Monitoring&Evaluation,Teaching and Learning,Curriculum&Instruction,Economic Theory&Research,Gender and Education

    Exchange Rate Risk in Central European Countries

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    The authors address the issue of foreign exchange risk and its macroeconomic determinants in several Central European (CE) economies. The joint distribution of excess returns in the foreign exchange market and observable country-specific macroeconomic factors is modeled using the stochastic discount factor (SDF) approach and a multivariate GARCH-in-mean model. The authors find that real factors seem to lack significance in determining foreign exchange risk, while nominal factors (inflation and money) have a significant impact. The differences in the impact of nominal factors are related to the actual monetary policy regimes adopted in the countries examined. The authors´ findings have policy implications with respect to currency stability. The central banks in the CE countries should continue stabilization policies aimed at achieving nominal convergence with the core EU members, as nominal country-specific factors play a crucial role in explaining the variability of the risk premium.foreign exchange risk, time-varying risk premium, stochastic discount factor, multivariate GARCH-in-mean

    Psychological-Pedagogical Criteria for New Generation Textbooks

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    The article dwells on the main psychological and pedagogical criteria which should lay the foundation for all the reforms in school textbooks of transformational societies in transition period. After having analyzed the criteria and aims of textbooks a manual is presented which, as the author suggests, may be valuable in directing high school students in their choice of careers.</jats:p

    TRANSLATIONS FROM BEDROS TOURIAN BY V. BRUSOV AND K. BALMONT

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    The paper analyzes «My Sorrow», a verse by Bedros Tourian, translated both by V. Brusov and K. Balmont. The paper’s author concludes that V. Brusov’s translation is close to the original source, while K. Balmont made some redrafting of the text. It is noteworthy that V. Brusov did not include his own translation of the abovementioned verse in the first edition of the anthology «The Poetry of Armenia», opting for K. Balmont’s translation

    An Interoperable Grid Information System for Integrated Resource Monitoring Based on Virtual Organizations

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    In many Grid infrastructures different kinds of information services are in use, which utilize different incompatible data structures and interfaces to encode and provide their data. Homogeneous monitoring of these infrastructures with the monitoring data being accessible everywhere independently of the middleware which provided it, is the basis for a consistent status reporting on the Grids' resources and services. Thus, interoperability or interoperation between the different information services in a heterogeneous Grid infrastructure is required. Monitoring data must contain the identity of the affected Virtual Organization (VO) so that it can be related to the resources and services the VO has allocated to enable VO-specific information provision. This paper describes a distributed architecture for an interoperable information service, which combines data unification and categorization with policies for VO membership, VO resource management and data transformations. This service builds the basis for an integrated and interoperating monitoring of Grids, which provide their data to more than one VO and utilize heterogeneous information services

    Measurement of the top quark pair production cross section in dilepton final states with ATLAS

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    The production cross section of top quark pairs in proton-proton (pp) collisions at √s = 7 TeV recorded with the ATLAS detector at the CERN Large Hadron Collider is measured. Using a data sample of 35 pb−1, candidate events are selected in the dilepton topology with large missing transverse energy (ETmiss) and at least two jets. Backgrounds from Zll and mis-identified leptons (fakes) are estimated from data. Results include detailed studies of systematic uncertainties

    Price convergence in the EMU? Evidence from micro data

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    The establishment of European monetary union (EMU) was widely expected to cause price convergence among member states. In an investigation of this claim, the present study avoids problems of comparability and representativeness by using an extremely detailed and comprehensive scanner database on washing machine prices and sales volumes for 17 European countries. A hedonic regression yields country-specific time series for quality-adjusted price differentials. Statistically and economically significant deviations from the LOP emerge. Log t tests firmly reject price convergence among EMU countries. Small convergence clusters can be identified but they are unrelated to EMU membership. --price convergence,LOP,euro introduction,log t test,hedonic price regression,scanner data
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