Length of time spent in Chapter 11 bankruptcy: a censored partial regression model

This paper investigates original issuers of high yield bonds in Chapter 11 bankruptcy to determine which factors affect the length of time spent in Chapter 11. In order to do this analysis a flexible new duration model is proposed, the censored partial regression model. This model allows consideration of the effect of some variables on the duration using a nonparametric functional form. It is found that the choice of prepackaged Chapter 11, the length of time negotiating before filling for Chapter 11, the profitability, the highly leveraged transactions, the participation on different disputes, the role of vulture funds and some institutional changes turn out to be relevant to analyse this duration.     

THE RELATIVE EFFICIENCY OF PRIVATE AND PUBLIC SCHOOLS IN DEVELOPING COUNTRIES

Aside from revenue mobilization, one of the arguments for allowingthe private sector to assume a larger role in the provisionof education is that it would increase efficiency, as administratorsbecome more responsive to the needs of students and their parents.But what is the evidence? Based on case studies that compareprivate and public secondary education in Colombia, the DominicanRepublic, the Philippines, Tanzania, and Thailand, private schoolstudents generally outperform public school students on standardizedmath and language tests. This finding holds even after holdingconstant for the fact that, on average, private school studentsin these countries come from more advantaged backgrounds thantheir public. school counterparts. In addition, preliminaryevidence shows that the unit costs of private schools are lowerthan those of public schools. Although these results cannot,in themselves, be used as arguments for massive privatization,they indicate that governments should reconsider policies thatrestrain private sector participation in education. Furtherresearch is needed to determine whether some teaching and administrativepractices in private schools are applicable to public schools.      

Measuring Pricing to Market in the Eurozone: The Case of the Automobile Industry

In this paper we measure the pricing to market for the main export products in the Eurozone automobile industry. Results reveal that significant markup adjustments exist following exchange rate variations. In general, these adjustments allow a strong stabilization of prices in buyer's currency terms. Nevertheless, the degree of pricing to market is quite heterogeneous and differs highly across both product categories and destination markets.     

Combining tech-mining and semantic-TRIZ for a faster and better technology analysis: a case in energy storage systems

Understanding and anticipating the evolution of technologies is an increasingly complex task attributable to the interdisciplinarity of the technology and the explosion of information about the research and patent activity. By combining the capabilities of tech-mining in identifying and in highlighting trends, weak signals, with those of semantic-TRIZ (Teoriya Resheniya Izobreatatelskikh Zadatch – Theory of Inventive Problem Solving) in identifying the functions, its causes and effects, a better understanding of the trends may be obtained in a shorter time. An interesting trend in the use of graphene in cathode materials, as well as its applications, mainly to enhance the conductivity and the discharge and recharge of the Li–air battery, has been quickly assessed as a result of the combined techniques. Another two cases, the increased presence of nanostructures in cathodes and the emergence of LIFePO₄ in the lithium–ion batteries have been also analysed in a short time. The results may predict the good possibilities of the combination of these two evolving techniques.     

不平等就是不健康

文森特·纳瓦罗(V icente N avarro)是约翰斯—霍普金斯大学布卢姆博格公共健康学院的教授和普姆蓓—费布拉大学(P om peiiFabra U niversity)的政治社会科学教授。同时,他还兼任国际健康服务杂志的主编。他在约翰斯—霍普金斯大学医学院2003级毕业典礼上演讲指出,“不平等就是不健康”。以下为纳瓦罗教授演讲的主要内容。“不平等就是不健康”,其原因除了不平等的加剧通常会伴随着贫困的加剧(它仅仅是部分正确的)外,更在于不平等本身就会产生这样的消极影响,即社会群体之间和个体之间的差距以及这种差距导致的社会凝聚力(cohesion)不足会…     

A contribution on the nature and treatment of missing data in large market surveys

Nonresponse (or missing data) is often encountered in large-scale surveys. To enable the behavioural analysis of these data sets, statistical treatments are commonly applied to complete or remove these data. However, the correctness of such procedures critically depends on the nature of the underlying missingness generation process. Clearly, the efficacy of applying either case deletion or imputation procedures rests on the unknown missingness generation mechanism. The contribution of this article is twofold. The study is the first to propose a simple sequential method to attempt to identify the form of missingness. Second, the effectiveness of the tests is assessed by generating (experimentally) nine missing data sets by imposed missing completely at random, missing at random and not missing at random processes, with data removed.     

Deficit sustainability and inflation in EMU: An analysis from the Fiscal Theory of the Price Level

Price determination theory typically focuses on the role of monetary policy, while the role of fiscal policy is usually neglected. From a different point of view, the Fiscal Theory of the Price Level takes into account monetary and fiscal policy interactions and assumes that fiscal policy may determine the price level, even if monetary authorities pursue an inflation targeting strategy. In this paper we try to test empirically whether the time path of the government budget in EMU countries would have affected price level determination. Our results point to the sustainability of fiscal policy in all the EMU countries but Finland, although no firm conclusions can be drawn about the prevalence of either monetary or fiscal dominance.     

International evidence on alternative models of the term structure of volatilities

The term structure of instantaneous volatilities (TSV) of forward rates for different monetary areas (euro, U.S. dollar and British pound) is examined using daily data from at‐the‐money cap markets. During the sample period (two and a half years), the TSV experienced severe changes both in level and shape. Two new functional forms of the instantaneous volatility of forward rates are proposed and tested within the LIBOR Market Model framework. Two other alternatives are calibrated and used as benchmarks to test the accuracy of the new models. The two new models provide more flexibility to adequately calibrate the observed cap prices, although this improved accuracy in replicating cap prices produces some instability in parameter estimates. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:653–683, 2009     

Does sport affect the competitiveness of European Union countries? An analysis of the degree of innovation and GDP per capita using linear and QCA models

The sport industry has experienced great growth in recent years worldwide, and especially in the European Union (EU) countries. However, despite the role that this industry can play in improving the competitiveness of these countries (Gross Domestic Product (GDP) per capita and innovation performance), no studies have been found that analyse its influence. So, the main aim of this study is, firstly, to analyse the relationship between the innovation performance and the GDP per capita of EU countries, and, secondly, to find out how sport-related indicators and different innovation-related indicators influence the innovation performance and GDP per capita of the EU countries. To this end, two different methodologies have been used: hierarchical regression models and qualitative comparative analysis (QCA). A total sample of 23 EU countries have been analysed. The results show that GDP per capita and innovation performance are highly correlated in a positive and significant way (0.76; p?<?.0001), and that the variables related to sport help explain the variance of these two variables, highlighting as necessary variable in both cases the growth in the sports sector (consistency >0.90). Finally, a number of practical implications are presented that can help policy makers to improve the competitiveness of EU countries.

     

The driving forces behind China’s growth1

The main objective of this article is to disentangle the determinants of the Chinese economic growth that occurred from 1965 to 2000. We have explored, first, the time series properties of the growth rates of gross domestic product and labour productivity with an extended battery of unit‐root tests. Then, in a multivariate setting, we use the VAR model methodology to provide evidence that physical and human capital accumulation, R&D expenditure, openness and competitiveness are the main drivers of output, labour productivity and total factor productivity growth in the long run. Additionally, we also show that although China has not yet converged to its long‐run equilibrium, it is in the process of catching up. These results are more consistent with some versions of the endogenous growth models than with Solow‐type models of growth, since they support active strategies of economic policy to stimulate economic growth and catching up with more advanced economies.