Market Familiarity and the Location of South and North MNEs

We use a systematic empirical analysis of the determinants of South-South (SS) and North-South (NS) foreign direct investment (FDI) as a canvas to explore how multinational enterprises’ (MNEs) location decisions are shaped by better acquaintance with a foreign market resulting from bilateral ties, experience of international expansion, and knowledge of how to deal with poor governance. We find that these various aspects of market familiarity, which can interact together, are important to explain and differentiate the location behaviours of South MNEs (S-MNEs) and North MNEs (N-MNEs) in developing countries.

Regime-Switching Cointegration

We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches in regime (e.g. Markov switches in regime or structural breaks). An important aspect of our approach is that we allow both the cointegrating vectors and the number of cointegrating relationships to change when the regime changes. We show how Bayesian model averaging or model selection methods can be used to deal with the high-dimensional model space that results. Our methods are used in an empirical study of the Fisher e ffect.

Chasing Graduate Jobs?

This paper examines empirically the relationship between under-employment and migration amongst five cohorts of graduates of Scottish higher education institutions with micro-data collected by the Higher Education Statistical Agency. The data indicate that there is a strong positive relationship between migration and graduate employment—those graduates who move after graduation from Scotland to the rest of the UK or abroad have a much higher rate of graduate employment. Versions of probit regression are used to estimate migration and graduate employment equations in order to explore the nature of this relationship further. These equations confirm that there is a strong positive relationship between the probability of migrating and the probability of being in graduate employment even after other factors are controlled for. Instrumental variables estimation is used to examine the causal nature of the relationship by attempting to deal with the potential endogeneity of migration decisions. Overall the analysis is consistent with the hypotheses that a sizeable fraction of higher education graduates are leaving Scotland for employment reasons. In turn this finding suggests the over-education/under-employment nexus is a serious problem in Scotland.

A balance of questions: what can we ask of climate change economics?

The standard approach to the economics of climate change, which has its best known implementation in Nordhaus's DICE and RICE models (well described in Nordhaus's 2008 book, A Question of Balance) is not well equipped to deal with the possibility of catastrophe, since we are unable to evaluate a risk averse representative agent's expected utility when there is any signi cant probability of zero consumption. Whilst other authors attempt to develop new tools with which to address these problems, the simple solution proposed in this paper is to ask a question that the currently available tools of climate change economics are capable of answering. Rather than having agents optimally choosing a path (that differs from the recommendations of climate scientists) within models which cannot capture the essential features of the problem, I argue that economic models should be used to determine the savings and investment paths which implement climate targets that have been suggested in the physical science literature.

No Good Deals - No Bad Models

Faced with the problem of pricing complex contingent claims, an investor seeks to make his valuations robust to model uncertainty. We construct a notion of a model- uncertainty-induced utility function and show that model uncertainty increases the investor's eff ective risk aversion. Using the model-uncertainty-induced utility function, we extend the \No Good Deals" methodology of Cochrane and Sa a-Requejo [2000] to compute lower and upper good deal bounds in the presence of model uncertainty. We illustrate the methodology using some numerical examples.

Quantile forecasts of inflation under model uncertainty

Bayesian model averaging (BMA) methods are regularly used to deal with model uncertainty in regression models. This paper shows how to introduce Bayesian model averaging methods in quantile regressions, and allow for different predictors to affect different quantiles of the dependent variable. I show that quantile regression BMA methods can help reduce uncertainty regarding outcomes of future inflation by providing superior predictive densities compared to mean regression models with and without BMA.

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates difficulties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system. Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks. Includes self-contained introductions to probability and decision theory. Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models. Features implementation of the methodology with reference to commercial and academically available software. Presents standard networks and their extensions that can be easily implemented and that can assist in the reader's own analysis of real cases. Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning. Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them. Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background. Includes a foreword by Ian Evett. The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.

Palafrugell: un viatge pel seu clima

Treball de recerca realitzat per dos alumnes d'ensenyament secundari i guardonat amb un Premi CIRIT per fomentar l'esperit cientí­fic del Jovent l'any 2009. El treball pretén reconstruir part de la història climàtica de Palafrugell, tractar els fenòmens meteorològics més rellevants de les darreres dècades i mostrar què és realment el canvi climàtic i com podria afectar en el futur a Palafrugell. A partir de dades meteorològiques recollides en llibres, quaderns, fulls d'observatoris meteorològics, així com també a través d'entrevistes realitzades a experts en el tema, i amb anàlisis comparatius de diferents èpoques climàtiques, es mostra l'extensa història climàtica que amaga Palafrugell, els diferents períodes climàtics, i els efectes de l'escalfament global i les seves conseqüències. Els autors intenten d'aquesta manera no tan sols donar a conèixer el clima del municipi, sinó també, transmetre una definició que s'ajusti millor al significat de canvi climàtic.

Gains from switching and evolutionary stability in multi-player matrix games.

In this paper we unify, simplify, and extend previous work on the evolutionary dynamics of symmetric N-player matrix games with two pure strategies. In such games, gains from switching strategies depend, in general, on how many other individuals in the group play a given strategy. As a consequence, the gain function determining the gradient of selection can be a polynomial of degree N-1. In order to deal with the intricacy of the resulting evolutionary dynamics, we make use of the theory of polynomials in Bernstein form. This theory implies a tight link between the sign pattern of the gains from switching on the one hand and the number and stability of the rest points of the replicator dynamics on the other hand. While this relationship is a general one, it is most informative if gains from switching have at most two sign changes, as is the case for most multi-player matrix games considered in the literature. We demonstrate that previous results for public goods games are easily recovered and extended using this observation. Further examples illustrate how focusing on the sign pattern of the gains from switching obviates the need for a more involved analysis.

Sex, politics and social change in the eighteenth and the nineteenth centuries: Evidence from the Swiss Alps

The 18th century "sexual revolution" can not simply be explained as a consequence of economic or institutional factors - industrialization, agricultural revolution, secularization or legal hindrances to marriages: the example of western Valais (Switzerland) shows that we have to deal with a complex configuration of factors The micro-historical approach reveals that in the 18th and 19th century sexuality - and above all illicit sexuality - was a highly subversive force which was considerably linked to political innovation and probably more generally to historical change. Non-marital sexuality was clearly tied to political dissent ant to innovative ways of behaviour, both among the social elites and the common people. This behaviour patterns influenced crucial evolutions in the social, cultural and economic history of the region.

Psychiatrie et violence : quel est le risque acceptable ?

L'évolution des connaissances et des compétences en matière d'évaluation et de gestion du risque de violence a permis une indiscutable avancée. Néanmoins les instruments utilisés restent encore source de controverses et prêtent le flanc à de nombreuses critiques. Dans ce contexte le climat sécuritaire actuel fait peser une lourde pression sur les équipes soignantes qui ont aussi à faire face à la violence des patients. Une réflexion sur les possibilités et les limites autant du soin que de la privation de liberté permet, peut-être d'envisager ce qu'est un risque acceptable. Evolution of knowledge and skills in violence risk management and assessment allowed an indisputable progress. Nevertheless instruments used such as HCR-20 still remain source of controversy and gives occurrence to numerous criticisms. In this context, the current high security climate puts added pressure on the medical teams which also have to deal with the violence of patients. A reflection on the possibilities and the limits of care as well as freedom deprivation may allow us to envision what is an acceptable risk.

The Division problem with voluntary participation

The division problem consists of allocating a given amount of an homogeneous and perfectly divisible good among a group of agents with single-peaked preferences on the set of their potential shares. A rule proposes a vector of shares for each division problem. The literature has implicitly assumed that agents will find acceptable any share they are assigned to. In this paper we consider the division problem when agents' participation is voluntary. Each agent has an idiosyncratic interval of acceptable shares where his preferences are single-peaked. A rule has to propose to each agent either to not participate or an acceptable share because otherwise he would opt out and this would require to reassign some of the remaining agents' shares. We study a subclass of efficient and consistent rules and characterize extensions of the uniform rule that deal explicitly with agents' voluntary participation.

On Strategy-proofness and symmetric single-peakedness

We characterize the class of strategy-proof social choice functions on the domain of symmetric single-peaked preferences. This class is strictly larger than the set of generalized median voter schemes (the class of strategy-proof and tops-only social choice functions on the domain of single-peaked preferences characterized by Moulin (1980)) since, under the domain of symmetric single-peaked preferences, generalized median voter schemes can be disturbed by discontinuity points and remain strategy-proof on the smaller domain. Our result identifies the specific nature of these discontinuities which allow to design non-onto social choice functions to deal with feasibility constraints.

The ‘Dragon’ and the ‘Elephant’ and Global Imbalances

Global financial imbalances receive a great deal of attention in relation to the emerging economies China and India. This chapter analyzes this relation, but argues first that they are actually re-balancing the existing structural inequality in the world economy, in which for so long only the Western economies and Japan dominated economic growth and international trade, moving towards a more multi-polar world economy. China in particular, with its rapid export-led growth, has indeed been part and parcel of the emerging financial imbalances, feeding the ‘over-consumption’ in the US and using its accumulating international reserves in buying US-treasury bonds. Finance therefore is moving to the economy that ‘least needs it’. This imbalance can only be redressed if the US (and some of the other OECD countries) start saving more and consuming less (and become more competitive), with China further stimulating domestic demand (which it already did in response to the crisis). China and to a lesser extend India, as emerging large economies and a more important roles in global markets, also contribute to new imbalances, such as the influence of the insatiable appetite for resources (carbon-hydrates, minerals and bio-mass) of these relatively energy-inefficient economies, while at the same time attracting an increasing share of FDI towards them. The chapter finally raises the issue that these three mentioned imbalances make it more difficult for developing countries (except for those who are resource-rich) to get access to the necessary development finance.

Generic Nekhoroshev theory without small divisors

In this article, we present a new approach of Nekhoroshev theory for a generic unperturbed Hamiltonian which completely avoids small divisors problems. The proof is an extension of a method introduced by P. Lochak which combines averaging along periodic orbits with simultaneous Diophantine approximation and uses geometric arguments designed by the second author to handle generic integrable Hamiltonians. This method allows to deal with generic non-analytic Hamiltonians and to obtain new results of generic stability around linearly stable tori.