Valuing Mortgage Insurance Contracts in Emerging Market Economies

We develop a new option-based method for the valuation of mortgage insurance contracts in closed form in an economy where agents are risk neutral. While the proposed valuation method is general and can be used in any market, it may be particularly useful in emerging market economies where other existing methods may be either inappropriate or are too difficult to implement because of the lack of relevant data. As an application, we price a typical Serbian government-backed mortgage insurance contract.     

Learning CAD at university through summaries of the rules of design intent

The ease with which 3D CAD models may be modified and reused are two key aspects that improve the design-intent variable and that can significantly shorten the development timelines of a product. A set of rules are gathered from various authors that take different 3D modelling strategies into account. These rules are then applied to CAD strategic-knowledge learning methodology and included in 3D CAD modelling exercises for students following the degree in mechanical engineering at the University of Burgos (Spain). The experiment was conducted in two groups with a total of 75 students. The design-intent rules were introduced in the different exercises that the teacher explained in both the theoretical and the practical classes. In addition, a summary of the different design rules in each of the practical exercises was explained in the practical classes in only one of the groups. The experimental results, reported in this paper, tested the influence of these summaries on overall improvements in 3D modelling and on the design-intent variable, which is subdivided into four sections: skeleton, structures, alterations and constraints. The use of the summaries of the design intent rules led to statistically significant improvements in 3D modelling in the experimental group, in comparison with the group of students to whom those summaries were not explained.     

Identifying micro-destinations and providing statistical information: a pilot study in the Canary Islands

Municipalities and regions are often used as an object of tourism analysis at the subnational level. This occurs because administrative borders are used to implement tourism policies and collect statistical information. However, administrative boundaries may not always be suitable for studying tourism destinations at a local level. Sometimes, particularly in high-density tourism destinations, several differentiated tourism areas occupy a single municipality; tourism areas may, and often do, extend beyond municipal boundaries and tourism destinations may not occupy the whole of the municipal area. As such, a new level of analysis is often required: the micro-destination. There are few tourism concepts as imprecise as that of the destination. Therefore, the process of identifying and establishing the boundaries of a micro-destination is by no means a straightforward one. This paper presents six criteria for establishing the boundaries of this type of tourism area. Of these six, the two primary criteria used are: the concentration of tourism establishments; and tourism typologies and supply characteristics. These criteria have been applied as part of a pilot study in the Canary Islands. Statistical information for nine micro-destinations is generated using the geolocation of tourism establishments together with information obtained from both supply-side and demand-side surveys.     

Do People Accurately Anticipate Sanctions?

We provide lab data from four different games that allow us to study whether people have accurate expectations regarding monetary sanctions (punishment/reward) and nonmonetary sanctions (disapproval/approval). Although the strength of the sanction is always predicted with some error (particularly in the case of monetary sanctions), we observe that (i) most subjects anticipate correctly the sign of the average sanction, (ii) expectations covary with sanctions, (iii) the average expectation is very often not significantly different than the average actual sanction, and (iv) the errors exhibit no systematic bias, except in those situations where rewards are frequent. In this line, we find some evidence that punishment is better anticipated than rewards.     

Why do people tell the truth? Experimental evidence for pure lie aversion

A recent experimental literature shows that truth-telling is not always motivated by pecuniary motives, and several alternative motivations have been proposed. However, their relative importance in any given context is still not totally clear. This paper investigates the relevance of pure lie aversion, that is, a dislike for lies independent of their consequences. We propose a very simple design where other motives considered in the literature predict zero truth-telling, whereas pure lie aversion predicts a non-zero rate. Thus we interpret the finding that more than a third of the subjects tell the truth as evidence for pure lie aversion. Our design also prevents confounds with another motivation (a desire to act as others expect us to act) not frequently considered but consistent with much existing evidence. We also observe that subjects who tell the truth are more likely to believe that others will tell the truth as well.     

Estimation in the first-order moving average model through the finite autoregressive approximation: Some asymptotic results

To estimate α in the model y_t = u_t+αu_t?1, we consider a proposal by Durbin (Biometrika, 1969). It consists in fitting an autoregression of order k to the data, and deriving from there an estimate α^. The probability limit and the variance of the limiting normal distribution of α^ are presented and discussed in detail, when the sample size T → ∞, but k remains fixed. The differences between the resulting values and those corresponding to the maximum likelihood estimator are exponentially decreasing functions of k. Several modifications of the estimator are discussed and found consistent, but asymptotically inefficient.     

The contribution of granular and fundamental comparative advantage to European Union countries' export specialisation

This paper analyses the contribution of fundamental comparative advantage (a country-specific component) and granular comparative advantage (a firm-specific component) to European Union countries' export specialisation. We find that, on average, granular comparative advantage may explain export specialisation in 29% of industries, which account for 47% of total exports. We also show that 60% of the variation in export specialisation across countries and industries may be explained by granular comparative advantage. These results highlight that some outstanding firms may play a very important role in explaining European Union countries' export specialisation.     

Causes of world trade growth in agricultural and food products, 1951–2000: a demand function approach

The objective of the present study is to analyse the causes of the growth of international agricultural and food trade in volume terms from 1951 to 2000. The results suggest that income growth has been the principal reason for this expansion, while exchange rate stability and the real price of agricultural products played only a minor role. Multilateral trade liberalization and trade costs, given their long-term stability, are not elements that could have stimulated their growth. Finally, the intensive liberalization of trade which took place in various economic regions, especially in Europe, became a key factor in promoting agricultural trade among the countries participating in regional trade agreements. The study results also indicate that the determinants of trade growth for these goods were different to those for other goods and other periods.     

Understanding IJV performance in a learning and conflict mediated context

Determinants of international joint venture (IJV) performance are examined within the context of cross-border learning. Using a structural equation model, we test the multifaceted interactions among strategic goal congruency, national culture differences, learning and conflict. Cross-border learning is recognized as a kernel variable which is influenced by matching strategic motives, national culture differences, and conflicting relations, and which affects the performance of IJVs. In particular, we hypothesize that interpartner goal congruency and national culture differences have an indirect effect on IJV performance through cross-border learning and conflict; previous studies established their direct relationship. The test results show that congruent strategic motives and cultural similarity had a positive effect on cross-border learning, which was reinforced by learning capacity, and which in turn led to better performance. Conflicting relations between partners and heterogeneous cultural backgrounds were shown to discourage cross-border learning.