Are self-regarding subjects more rational?

Through an experiment, we investigate how the level of rationality relatesto concerns for equality and efficiency. Subjects perform dictator games anda guessing game. More rational subjects are not more frequently of the selfregardingtype. When performing a comparison within the same degree of rationality,self-regarding subjects show more strategic sophistication than othersubjects.

Property enforcement as organized consent

This article develops and tests a theory of the institutions that makeproperty rights viable, ensuring their enforcement, mobilizing thecollateral value of assets and promoting growth. In contrast tocontractual rights, property rights are enforced in rem, being affectedonly with the consent of the right holder. This ensures enforcement butis costly when multiple, potentially colliding rights are held in thesame asset. Different institutions reduce the cost of gathering consentsto overcome this trade-off of enforcement benefits for consent costs:recording of deeds with title insurance, registration of rights and evena regimen of purely private transactions. All three provide functionallysimilar services, but their relative performance varies with the numberof transactions, the risk of political opportunism and regulatoryconsistency. The analysis also shows the rationality of allowingcompetition in the preparation and support of private contractswhile requiring territorial monopoly in recording and registrationactivities, this to ensure independence and protect third parties.

The gain-loss asymmetry and single-self preferences

Kahneman and Tversky asserted a fundamental asymmetry between gains and losses, namely a reflection effect which occurs when an individual prefers a sure gain of $ pz to anuncertain gain of $ z with probability p, while preferring an uncertain loss of $z with probability p to a certain loss of $ pz.We focus on this class of choices (actuarially fair), and explore the extent to which thereflection effect, understood as occurring at a range of wealth levels, is compatible with single-self preferences.We decompose the reflection effect into two components, a probability switch effect,which is compatible with single-self preferences, and a translation effect, which is not. To argue the first point, we analyze two classes of single-self, nonexpected utility preferences, which we label homothetic and weakly homothetic. In both cases, we characterize the switch effect as well as the dependence of risk attitudes on wealth.We also discuss two types of utility functions of a form reminiscent of expected utility but with distorted probabilities. Type I always distorts the probability of the worst outcome downwards, yielding attraction to small risks for all probabilities. Type II distorts low probabilities upwards, and high probabilities downwards, implying risk aversion when the probability of the worst outcome is low. By combining homothetic or weak homothetic preferences with Type I or Type II distortion functions, we present four explicit examples: All four display a switch effect and, hence, a form of reflection effect consistent a single self preferences.

Are tax subsidies for private medical insurance self-financing? Evidence from a microsimulation model for outpatient and inpatient episodes

This paper analyses whether or not tax subsidies to private medicalinsurance are self-financing by means of a structural approach. Weconstruct a simulation routine based on a microeconometric discretechoice model that allows us to evaluate the impact of premium changeson the utilisation of outpatient and inpatient health care services. Wesimulate the 1999 Spanish tax reform that abolished the tax deductionfor expenditures on private health insurance using a representativesample of the Catalan population. Prior to this reform, foregone taxrevenue arising from deductions after the purchase of private insuranceamounted to 69.2 M. per year. In contrast, the elimination of thesubsidies to private policies is estimated to generate an extra costfor the public sector of about 8.9 M. per year.

The economics of organized crime and optimal law enforcement

This paper extends the optimal law enforcement literature to organized crime.We model the criminal organization as a vertical structure where the principal extracts some rents from the agents through extortion. Depending on the principal's information set, threats may or may not be credible. As long as threats are credible, the principal is able to fully extract rents.In that case, the results obtained by applying standard theory of optimal law enforcement are robust: we argue for a tougher policy. However, when threats are not credible, the principal is not able to fully extract rents and there is violence. Moreover, we show that it is not necessarily true that a tougher law enforcement policy should be chosen when in presence of organized crime.

Organized vs. competitive corruption

We study bureaucratic corruption in a model in which a constituencysets required levels for a given set of activities. Each activity iscarried out by an external provider, and its realization is supervisedby a bureaucrat. While bureaucrats are supposed to act on behalf of theconstituency, they can decide to be corrupt and allow providers todeliver lower activity levels than contracted in exchange for a bribe.Given this, the constituency sets the optimal activity levels weighingoff the value of activity levels, their costs, as well as the possibilityfor the bureaucrats to be corrupt. We use this setup to study the impacton equilibrium corruption of the degree of decentralization of corruption.To do this we compute equilibrium corruption in two different settings:1) Each bureaucrat acts in such a way as to maximize his own individualutility (competitive corruption); 2) An illegal syndicate oversee thecorruption decisions of the population of bureaucrats in such a way asto maximize total proceeds from corruption (organized corruption). Weshow that, since average corruption payoff is increasing in the activitylevels set by the constituency, and since the latter responds to highlevels of corruption by reducing required activity levels, in equilibriumthe illegal syndicate acts in such a way as to restrain the total numberof corrupt transactions, so that corruption is lower when it is organizedthan when it is competitive.

Concentration and self-censorship in commercial media

Within a simple model of non-localized, Hotelling-type competitionamong arbitrary numbers of media outlets we characterize qualityand content of media under different ownership structures. Assumingadvertising-sponsored, profit-maximizing outlets, we show that (i) topicssensitive to advertisers can be underreported (self-censored) by alloutlets in the market, (ii) self-censorship increases with the concentrationof ownership, (iii) adding outlets, while keeping the number ofowners fixed, may even increase self-censorship; the latter result relieson consumers' most preferred outlets being potentially owned by thesame media companies. We argue that externalities resulting fromself-censorship could be empirically large.

Avoiding sensor blindness in Geiger mode avalanche photodiode arrays fabricated in a conventional CMOS process

The need to move forward in the knowledge of the subatomic world has stimulated the development of new particle colliders. However, the objectives of the next generation of colliders sets unprecedented challenges to the detector performance. The purpose of this contribution is to present a bidimensional array based on avalanche photodiodes operated in the Geiger mode to track high energy particles in future linear colliders. The bidimensional array can function in a gated mode to reduce the probability to detect noise counts interfering with real events. Low reverse overvoltages are used to lessen the dark count rate. Experimental results demonstrate that the prototype fabricated with a standard HV-CMOS process presents an increased efficiency and avoids sensor blindness by applying the proposed techniques.

On-line event detection by recursive dynamic principal component analysis and gas sensor arrays under drift conditions

Leakage detection is an important issue in many chemical sensing applications. Leakage detection hy thresholds suffers from important drawbacks when sensors have serious drifts or they are affected by cross-sensitivities. Here we present an adaptive method based in a Dynamic Principal Component Analysis that models the relationships between the sensors in the may. In normal conditions a certain variance distribution characterizes sensor signals. However, in the presence of a new source of variance the PCA decomposition changes drastically. In order to prevent the influence of sensor drifts the model is adaptive and it is calculated in a recursive manner with minimum computational effort. The behavior of this technique is studied with synthetic signals and with real signals arising by oil vapor leakages in an air compressor. Results clearly demonstrate the efficiency of the proposed method.

Gas identification with tin oxide sensor array and self-organizing maps: adaptive correction of sensor drifts

Low-cost tin oxide gas sensors are inherently nonspecific. In addition, they have several undesirable characteristics such as slow response, nonlinearities, and long-term drifts. This paper shows that the combination of a gas-sensor array together with self-organizing maps (SOM's) permit success in gas classification problems. The system is able to determine the gas present in an atmosphere with error rates lower than 3%. Correction of the sensor's drift with an adaptive SOM has also been investigated

Nonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurements

Gas sensing systems based on low-cost chemical sensor arrays are gaining interest for the analysis of multicomponent gas mixtures. These sensors show different problems, e.g., nonlinearities and slow time-response, which can be partially solved by digital signal processing. Our approach is based on building a nonlinear inverse dynamic system. Results for different identification techniques, including artificial neural networks and Wiener series, are compared in terms of measurement accuracy.

Willigness to pay for long-term care coverage: the role of private information and self-insurance

Both public and private insurance for long-term care is undeveloped in some European countries such as in Spain and empirical evidence is still limited. This paper aims at exmining the determinants of the demand for Long Term Care (LTC) coverage in Spain using contingent valuation techniques. Our findings indicate that only one-fifth of the population is willing to pay to assure coverage decisions are significantly affected by private information asymmetry and housing tenure in giving rise to self-insurance reduces the probability of insurance being hypothetically purchased.