Claim, offer and information in wage bargaining

A stylized private-information model on the determination of the initial works council claim and the initial firm (counter) offer is analyzed in the context of the Spanish Collective Bargaining system. The Spanish system forces agents to make initial offers at the beginning ot the negotiation process. Thus initial firm offers are expected to reveal very little information. Our findings confirm such a guess. Morever, we found that initial offers crucially depend on aggregate bargaining conditions, price expectations and those variables that reflect the characteristics of the negotiation unit. However, the latter set of variables enters differently in both offer equations

Claim, offer and information in wage bargaining.

A stylized private-information model on the determination of the initial works council claim and the initial firm (counter) offer is analyzed in the context of the Spanish Collective Bargaining system. The Spanish system forces agents to make initial offers at the beginning ot the negotiation process. Thus initial firm offers are expected to reveal very little information. Our findings confirm such a guess. Morever, we found that initial offers crucially depend on aggregate bargaining conditions, price expectations and those variables that reflect the characteristics of the negotiation unit. However, the latter set of variables enters differently in both offer equations.Claim; Offer; Collective bargaining; Wage; Panel data;

Female labour supply and income taxation in Spain: The importance of behavioural assumptions and unobserved heterogeneity specification

We estimate four models of female labour supply using a Spanish sample of married women from 1994, taking into account the complete form of the individual’s budget set. The models differ in the hypotheses relating to the presence of optimisation errors and/or the way non-workers contribute to the likelihood function. According to the results, the effects of wages and non-labour income on the labour supply of Spanish married women depend on the specification used. The model which has both preference and optimisation errors and allows for both voluntarily and involuntarily unemployed females desiring to participate seems to better fit the evidence for Spanish married women. Classification-JEL : J22labour supply, optimization errors, budget set.

Classical planar algebraic curves realizable by quadratic polynomial differential systems

In this paper we show planar quadratic polynomial differentialsystems exhibiting as solutions some famous planar invariant algebraic curves. Also we put particular attention to the Darboux integrability of these differential systems.The author is partially supported by a MINECO grant number MTM2014-53703-P and an AGAUR grant number 2014SGR1204. †The author is partially supported by a FEDER-MINECO grant MTM2016-77278-P, a MINECO grant MTM2013-40998-P, and an AGAUR grant number 2014SGR-56

Sports attendance: A survey of the Literature 1973-2007

Introduction – 1. Theoretical aspects – 2. Demand definition, data andempirical model – 3. Determinants of attendance (I): Economical aspects – 4.Determinants of attendance (II): Expected quality – 5. Determinants of attendance(III): Uncertainty of outcome – 6. Determinants of attendance (IV): Opportunity cost and other factors – Conclusions – Abstract In this paper, we show a review of the empirical analysis literature about the factors that explain attendance to the stadiums on different sports, mainly in the case of professional sports. Apart from the traditional economic determinants of demand (attendance), the sports events in which the performers have more quality and in those which exists uncertainty of outcome of the match or the championship, have a larger number of spectators. On the other hand, these are not the only factors that explain attendance. Variables that capture the opportunity cost of going to the stadium and other determinants, like unobservable factors associated to the contender teams, also have relevance at the time of analyzing this side of the demand related to professional teams of sports eventsAttendance, elasticity, quality, uncertainty of outcome

Topological entropy and periods of self–maps on compact manifolds

Let (M; f) be a discrete dynamical system induced by a self{map f defined on a smooth compact connected n{dimensional manifold M. We provide sufficient conditions in terms of the Lefschetz zeta function in order that: (1) f has positive topological entropy when f is C1, and (2) f has infinitely many periodic points when f is C1 and f(M) ⊆ Int(M). Moreover, for the particular manifolds Sn, Sn x Sm, CPn and HPn we improve the previous sufficient conditions.The first author of this work was partially supported by MINECO grant number MTM2014-51891-P and Fundación Séneca de la Región de Murcia grant number 19219/PI/14. The second author is partially supported by a MINECO grant MTM2013-40998-P, an AGAUR grant number 2014SGR-568, and the grants FP7-PEOPLE-2012-IRSES 318999 and 316338

Packaging design: learning through fictional cases or real cases? Comparative study of student performance over 8 academic years

Comunicació presentada a EDULEARN2019, 11th International Conference on Education and New Learning Technologies (July 1-3, 2019, Palma, Mallorca, Spain).In the practical subjects of the Degrees in Industrial Design students usually apply theoretical knowledge to solve complex cases, but in many occasions these cases are only fictional. However, it is also possible to provide students with cases that respond to real needs, and on many occasions it is the companies that propose them through contests. Numerous experiences endorse the Competition-Based Learning (CBL) as a working methodology that improves the motivation of the students. But it is worth asking to what extent this motivation achieves a significant improvement in student performance. This paper hypothesizes that the performance of industrial design students is higher when they work to solve real cases than when they have to solve fictional cases. To demonstrate it, the average grades obtained during 8 academic years in a subject related to packaging are compared. Between 2011 and 2014, students were presented with a fictional case in which it was necessary to solve a specific need for a new type of packaging. Between 2015 and 2018 a similar exercise was planned, but based on real cases proposed by companies in the sector. In both cases, the exercise was planned during the central weeks of the semester, the students were given a similar period of time to develop them (around 4 weeks), and they were evaluated according to similar criteria. The results of this study show that the orientation of the exercises towards real cases through participation in contests seems to have a slight positive influence on student performance (+3.25%), so it is possible to demonstrate that the incorporation of CBL as a teaching methodology is generally positive for design students, given that it improves both their motivation and the quality of their proposals and has a positive impact on their performance

Weighted Proportional Losses Solution

We propose and characterize a new solution for problems with asymmetric bargaining power among the agents that we named weighted proportional losses solution. It is specially interesting when agents are bargaining under restricted probabilistic uncertainty. The weighted proportional losses assigns to each agent losses proportional to her ideal utility and also proportional to her bargaining power. This solution is always individually rational, even for 3 or more agents and it can be seen as the normalized weighted equal losses solution. When bargaining power among the agents is equal, the weighted proportional losses solution becomes the Kalai-Smorodinsky solution. We characterize our solution in the basis of restricted monotonicity and restricted concavity. A consequence of this result is an alternative characterization of Kalai-Smorodinsky solution which includes contexts with some kind of uncertainty. Finally we show that weighted proportional losses solution satisfyies desirable properties as are strong Pareto optimality for 2 agents and continuity also fulfilled by Kalai-Smorodinsky solution, that are not satisfied either by weighted or asymmetric Kalai-Smorodinsky solutions.

Toxicity in finance

Treball Final de Grau en Finances i Comptabilitat. Codi: FC1049. Curs acadèmic: 2016/2017This paper analyses from a critical perspective the irregularities committed by financial institutions in the use of complex techniques to increase liquidity, the commercialization of toxic financial products, such as preferred participations or multi-currency mortgages, and the bad faith in the commercialization of loans. Firstly we will define what we consider as a toxic financial product or toxic behaviour, together with the definition of each instrument; followed by the commercialization and the consequences on the surroundings; finally, we focus on preventive measures from the institutional bodies that are regulating the situation. This leads to conclusions that help us to understand the wave of lawsuits filed by retail clients requesting the nullity due to a lack of consent in these contracts, based on the lack of information to the customer and the repeated failure to comply with MIFID regulations of financial institutions

Wind energy forecasting with neural networks: a literature review

Renewable energy is intermittent by nature and to integrate this energy into the Grid while assuring safety and stability the accurate forecasting of there newable energy generation is critical. Wind Energy prediction is based on the ability to forecast wind. There are many methods for wind forecasting based on the statistical properties of the wind time series and in the integration of meteorological information, these methods are being used commercially around the world. But one family of new methods for wind power fore castingis surging based on Machine Learning Deep Learning techniques. This paper analyses the characteristics of the Wind Speed time series data and performs a literature review of recently published works of wind power forecasting using Machine Learning approaches (neural and deep learning networks), which have been published in the last few years.Peer ReviewedPostprint (published version