A learning methodology using Matlab/Simulink for undergraduate electrical engineering courses attending to learner satisfaction outcomes

Learner-centred approaches follow the prevailing tendency in modern University reforms which are primarily concerned about “how people learn”. The methodologies can be learner-centred in the sense of placing the student as the main actor of the teaching–learning process by increasing his interactivity and participation, but also considering what is relevant for the student by measuring the learner satisfaction. In order to promote both aspects, this paper proposes a synchronous software-based active methodology that makes use of the simulations to show a virtual scenario to the students and challenge them to predict and discuss the evolution of the scenario. The proposed methodology improves the visual interface, promotes discussion both among students and with the teacher in a brainstorming stage and shows real-world examples. This software-based methodology has been implemented into an Electric Machinery course at the University of Seville (Spain), and the evaluation has been carried out considering both the affective and cognitive domains. Principal components analysis proves to be useful to highlight the dimensions with a higher influence on learner satisfaction and the affective and cognitive results confirm the successful implementation of the proposal.     

Chaotic Exchange Rate Dynamics Redux

This article generalizes the results shown in De Grauwe, Dewachter, and Embrechts (1993) in a more sophisticated framework. In their model, the speculative dynamics resulting from the interaction between chartists and fundamentalists are incorporated into a Dornbusch-style model to generate a chaotic nominal exchange rate. Here the model of Obstfeld and Rogoff (1995, 1996) replaces the Dornbusch model, and chaotic solutions are still shown to be possible for sensible parameter values.     

Development and implementation of customer solutions: A study of process dynamics and market shaping

A broad, dynamic network perspective on solution processes remains scarce. This article presents the process of developing and implementing customer solutions and its effects on the wider business environment by investigating customers and suppliers in the global mining industry (Australia, Chile, and Sweden), analyzing the deployment of a new customer solution, and assessing the changes to the competitive environment and focal firms' relationships with other customers and suppliers. It shows that the forces that drive customer and supplier interests and motivation to co-develop customer solutions may change over time, thus redefining the aim and scope of solutions and creating failure risks. Customers present problems; suppliers respond, on the basis of not only the feasibility of the customer-specific solution but also of their evaluation of future solutions in a broader market; then suppliers aim to standardize successful solutions across markets. Customers want close supplier relationships and unique solutions but also like standardized and repeatable solutions, so they can share development costs with competitors and expose the supplier to competition to avoid lock-in effects. From a network perspective, a novel solution can have a market-shaping effect and evoke reactions from other actors who want to enhance their market position. However, these changes are not necessarily deliberate, and the dynamics that market introductions of solutions trigger may be difficult to predict.     

Deconstructing Herding: Evidence from Pension Fund Investment Behavior

In this paper, we examine herding across asset classes and industry levels. We also study what incentives managers at various layers of the financial industry face when investing. To do so, we use unique and detailed monthly portfolios between 1996 and 2005 from pension funds in Chile, a pioneer in pension-fund reform. The results show that pension funds herd more in assets that have more risk and for which pension funds have less market information. Furthermore, the results show that herding is more prevalent for funds that narrowly compete with each other, namely, when comparing funds of the same type across pension fund administrators (PFAs). There is much less herding across PFAs as a whole and in individual pension funds within PFAs. These herding patterns are consistent with incentives for managers to be close to industry benchmarks, and might be also driven by market forces and partly by regulation.     

Portfolio choice with indivisible and illiquid housing assets: the case of Spain

This paper studies the investment decisions of Spanish households using a unique data-set, the Spanish Survey of Household Finance (EFF). We propose a theoretical model in which households, given a fixed investment in housing, allocate their net wealth across bank time deposits, stocks and mortgage. Besides considering housing as an indivisible and illiquid asset that restricts the portfolio choice decision, we take into account the financial constraints that households face when they apply for external funding. For every representative household in the EFF, we solve this theoretical problem and obtain the theoretically optimal portfolio that is then compared with households’ actual choices. We find that households significantly under-invest in stocks and deposits while the optimal and actual mortgage investments agree. Considering the three types of financial assets at once, we find that the households headed by highly financially sophisticated, older, retired, richer, and unconstrained persons are the ones investing more efficiently.     

Comparing IV with structural models: What simple IV can and cannot identify

This paper compares the economic questions addressed by instrumental variables estimators with those addressed by structural approaches. We discuss Marschak’s Maxim: estimators should be selected on the basis of their ability to answer well-posed economic problems with minimal assumptions. A key identifying assumption that allows structural methods to be more informative than IV can be tested with data and does not have to be imposed.     

Imposing monotonicity on outputs in parametric distance function estimations

The technology set involved in the estimation of a multi-output production frontier theoretically implies monotonicity on outputs. This is because an efficient firm cannot reduce the vector of outputs holding the vector of inputs fixed while it still belongs to the frontier. In empirical studies dealing with the estimation of parametric distance functions, this hypothesis is often violated by observations with far from average characteristics. To overcome this limitation, we propose a new approach for allowing the easy imposition of monotonicity on outputs in this context. This methodology is tested in the educational sector using Spanish student level data from the Programme for International Student Assessment (PISA) database. The results indicate that a nonnegligible 8.33% of the production units break the monotonicity assumption. Furthermore, although there is no statistically significant difference in efficiency distribution by school ownership, our methodology helps to detect a slight worse mathematical performance for students attending public schools.     

Accounting for Environmental Influences in Stochastic Frontier Models: With Application to International Airlines

The principal aim of this paper is to measure the efficiency of international airlines. We obtain measures of technical efficiency from stochastic frontier production functions which have been adjusted to account for environmental influences such as network conditions, geographical factors, etc. We observe that two alternative approaches to this problem have been proposed in the efficiency measurement literature. One assumes that the environmental factors influence the shape of the technology while the other assumes that they directly influence the degree of technical inefficiency. In this paper we compare the results obtained when using these two approaches. The two sets of results provide similar rankings of airlines but suggest differing degrees of technical inefficiency. Both sets of results also suggest that Asian/Oceanic airlines are technically more efficient than European and North American airlines but that the differences are essentially due to more favourable environmental conditions. Nevertheless, it is among Asian companies that the major improvements in managerial efficiency (technical efficiency with environmental factors netted out) took place over the sample period (1977–1990).     

Should all Choices Count? Using the Cut-Offs Approach to Edit Responses in a Choice Experiment

Should we give equal weight to all responses in a choice experiment? Previous Choice Modelling papers have considered the issue of the internal consistency of choices—such as the extent to which strictly-dominated options are chosen. In this paper, a different focus is employed, namely the extent to which people choose options which violate their stated upper or lower limits for the acceptable levels for individual attributes. Since hypothetical over-statement of WTP has been a focus in stated preference studies, we concentrate on violations of stated upper limits of WTP, and explore the effects of “editing” such choices using a variable censoring rule and alternative approaches to re-classifying choices. The empirical case study is a choice experiment on eco-tourists in Rwanda. Our main conclusion is that the suggested approach offers a useful way of imposing consistency on choices, and that editing choices in this manner has an appreciable impact on estimated willingness to pay. However, issues remain with regard to explaining why people apparently violate their stated maximum willingness to pay.     

Cointegration analysis for cross-sectionally dependent panels: The case of regional production functions

This paper employs recently developed non-stationary panel methodologies that assume cross-section dependence to estimate a production function for Italian regions over the 1970–2003 period. The analysis consists of three steps. First, unit root tests for cross-sectionally dependent panels are applied. Second, the existence of a cointegrating relationship among value added, physical capital and human capital-augmented labour is investigated, fully allowing for cross-section dependence. Then, the appropriate Fully Modified Ordinary Least Square estimators developed by Bai and Kao [Bai, J., Kao, C. 2006. On the Estimation and Inference of a Panel Cointegration Model with Cross-Sectional Dependence. In: B.H. Baltagi (Ed) Panel Data Econometrics: Theoretical Contributions and Empirical Applications, Elsevier Science: Amsterdam; 2006, pp.3–30.] are used to estimate the long-run relationship. We find that neglecting cross-section dependence can have a strong impact on the estimated long-run input elasticities, generally imparting them an upward bias.