Assessing Systemic Importance With a Fuzzy Logic Inference System

Three metrics are designed to assess Colombian financial institutions' size, connectedness and non-substitutability as the main drivers of systemic importance: (i) centrality as net borrower in the money market network; (ii) centrality as payments originator in the large-value payment system network; and (iii) asset value of core financial services. An aggregated systemic importance index is calculated based on expert knowledge by using a fuzzy logic inference system. We use principal component analysis to calculate a benchmark index for comparison purposes. Overall similarities between both indexes put forward that expert knowledge aggregation is consistent with that based on a purely quantitative standard approach. Specific non-negligible differences concur with the nonlinear features of an approach whose intention is to replicate human reasoning. Both indexes are complementary and provide a comprehensive relative assessment of each financial institution's systemic importance in the Colombian case, in which the choice of metrics pursues the macroprudential perspective of financial stability. Copyright © 2015 John Wiley & Sons, Ltd.     

Production Technology Estimates and Balanced Growth

Capital‐labour substitution and total factor productivity (TFP) estimates are essential features of many economic models. Such models typically embody a balanced growth path. This often leads researchers to estimate models imposing stringent prior choices on technical change. We demonstrate that estimation of the substitution elasticity and TFP growth can be substantially biased if technical progress is thereby mis‐specified. We obtain analytical and simulation results in the context of a model consistent with balanced and near‐balanced growth (i.e. departures from balanced growth but broadly stable factor shares). Given this evidence, a constant elasticity of substitution production function system is then estimated for the US economy. Results show that the estimated substitution elasticity tends to be significantly lower using a factor‐augmenting specification (well below one). We are also able to reject conventional neutrality forms in favour of general factor augmentation with a non‐negligible capital‐augmenting component. Our work thus provides insights into production and supply‐side estimation in balanced‐growth frameworks.     

Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?

This paper finds that participants in the European Central Bank’s Survey of Professional Forecasters have submitted forecasts that are consistent with a (mostly forward-looking) empirical version of the New Keynesian Phillips Curve for the euro area. The estimation technique takes advantage of the panel nature of the Survey of Professional Forecasters’ dataset to exploit both its time series and cross-section dimensions, and to control for unobservable individual heterogeneity across forecasters. The estimation results suggest that euro-area inflation forecasts have reacted less to unemployment forecasts after the start of the financial crisis but another cost measure (energy inflation) remains significant. This finding is consistent with a flatter Phillips Curve in the euro area after 2007. However, the reasons suggested by the International Monetary Fund for this finding, namely a better anchoring of inflation expectations and increases in structural unemployment do not seem to find support in the survey data. Instead, the expectations for compensation per employee submitted by professional forecasters are consistent with the existence of downward real-wage rigidities in euro-area labour markets.     

The market valuation of ethical assets in Spain: an application of the hedonic pricing method

The aim of this paper is to calculate the market valuation of non‐financial characteristics, namely, the social responsibility criteria (social, ethical and environmental) included in the Spanish Socially Responsible Investment Funds. The hedonic price method is applied for this purpose. This method relates the price of Socially Responsible Investment Funds with both financial and social responsibility characteristics. Because of the large number of social responsibility characteristics included in these funds, prior to application of the hedonic price method, the principal components factor analysis technique is used. The data are taken from the prospectus for each fund and from the data provided by the National Securities Market Commission. Results indicate that the Spanish market is sensitive to the social responsibility practices of companies. In particular, the market value practices related to environmental sustainability, the enforcement of labour rights, sustainable production and consumption and non‐abusive market practices.     

Determinants of corporate social responsibility and business ethics education in Spanish universities

The current economic crisis, unsustainable growth, and financial scandals invite reflection on the role of universities in professional training, particularly those who have to manage businesses. This study analyzes the main factors that might determine the extent to which Spanish organizational management educators use corporate social responsibility (CSR) or business ethics stand‐alone subjects to equip students with alternative views on business. A web content analysis and non‐parametric mean comparison statistics of the curricula of undergraduate degrees in all universities in Spain were conducted. The main conclusion of this paper is related to the Bologna effect in Spanish universities. Comparing our results with prior research in this matter, it is demonstrated that the main reason that explains the increase of CSR and ethical education in Spain is the Bologna process and its adaptation to the European Higher Education Area. Also, private universities in Spain are more likely to require an ethics course than public universities. Other factors, such as size, political orientation, or related to CSR chairs are not statistically explanatory of CSR and ethical education.     

Which commercial partners are important for the most recently admitted EU countries?

This paper describes the degree of trade integration inside the European Union (EU) after the fifth enlargement in 2004. To achieve this goal, we build a database of information on trade flows between the new EU countries (EU‐10) and 180 commercial partners in six different sectors from 1999 to 2011. Using the standard gravity model and estimating a difference‐in‐differences specification, we analyze how joining the EU affected the intensity and direction of the EU‐10's trade flows. Our results show that though trade exchanges between the EU‐10 and EU‐15 intensified after 2004, the impact of integration was much more significant to the EU‐10 group.     

IMMIGRANT RELATIVE WAGES AT THE GREAT RECESSION: EVIDENCE WITH MATCHED EMPLOYER‐EMPLOYEE DATA FOR SPAIN

The article examines relative wages of immigrants in Spain, with a particular focus on the impact of the Great Recession. The empirical analysis is restricted to men and is based on matched employer‐employee microdata and the decomposition techniques of Juhn et al. (1991, 1993) and Fortin et al. (2011). Our results show that the significant native‐immigrant wage gap that exists both in terms of average wages and of differentials along the wage distribution is essentially explained by differences in the endowments of observed characteristics so that, in general, immigrants tend to receive a similar wage treatment than Spaniards with analogous observed attributes. On the other hand, the Great Recession has had a noticeable impact on the relative wages of immigrants, given that the significant increase of the native‐immigrant wage gap observed during the previous expansionary period was mitigated during the economic downturn due to composition effects arising from the severe employment destruction pattern.     

ROSA,ROSAE, ROSIS: modelling a regional open sectoral innovation system

The literature on territorial innovation modes has identified the development of a diverse set of innovation systems at multiple levels of analysis. However, there are certain gaps that do not allow their adaptation to the particularities of certain territories. Despite the multiple concepts related to innovation systems approach, the state of the art does not yet provide a useful analytical approach for a deep and comprehensive characterization of territories with a high sectoral and technological specialization. This paper introduces an analytical framework based on a regional open and sectoral innovation system, which is qualitatively tested in the Durango County (Spain). The aim of this paper is to introduce a subtype of innovation system that meets the requirements and needs of a located micro-territory with a high level of sectoral specialization.