1000 resultados para Individual licenses
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This paper discusses how to identify individual-specific causal effects of an ordered discrete endogenous variable. The counterfactual heterogeneous causal information is recovered by identifying the partial differences of a structural relation. The proposed refutable nonparametric local restrictions exploit the fact that the pattern of endogeneity may vary across the level of the unobserved variable. The restrictions adopted in this paper impose a sense of order to an unordered binary endogeneous variable. This allows for a uni.ed structural approach to studying various treatment effects when self-selection on unobservables is present. The usefulness of the identi.cation results is illustrated using the data on the Vietnam-era veterans. The empirical findings reveal that when other observable characteristics are identical, military service had positive impacts for individuals with low (unobservable) earnings potential, while it had negative impacts for those with high earnings potential. This heterogeneity would not be detected by average effects which would underestimate the actual effects because different signs would be cancelled out. This partial identification result can be used to test homogeneity in response. When homogeneity is rejected, many parameters based on averages may deliver misleading information.
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I develop a model of endogenous bounded rationality due to search costs, arising implicitly from the problems complexity. The decision maker is not required to know the entire structure of the problem when making choices but can think ahead, through costly search, to reveal more of it. However, the costs of search are not assumed exogenously; they are inferred from revealed preferences through her choices. Thus, bounded rationality and its extent emerge endogenously: as problems become simpler or as the benefits of deeper search become larger relative to its costs, the choices more closely resemble those of a rational agent. For a fixed decision problem, the costs of search will vary across agents. For a given decision maker, they will vary across problems. The model explains, therefore, why the disparity, between observed choices and those prescribed under rationality, varies across agents and problems. It also suggests, under reasonable assumptions, an identifying prediction: a relation between the benefits of deeper search and the depth of the search. As long as calibration of the search costs is possible, this can be tested on any agent-problem pair. My approach provides a common framework for depicting the underlying limitations that force departures from rationality in different and unrelated decision-making situations. Specifically, I show that it is consistent with violations of timing independence in temporal framing problems, dynamic inconsistency and diversification bias in sequential versus simultaneous choice problems, and with plausible but contrasting risk attitudes across small- and large-stakes gambles.
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In this analysis, we examine the relationship between an individual's decision to volunteer and the average level of volunteering in the community where the individual resides. Our theoretical model is based on a coordination game , in which volunteering by others is informative regarding the benefit from volunteering. We demonstrate that the interaction between this information and one's private information makes it more likely that he or she will volunteer, given a higher level of contributions by his or her peers. We complement this theoretical work with an empirical analysis using Census 2000 Summary File 3 and Current Population Survey (CPS) 2004-2007 September supplement file data. We control for various individual and community characteristics, and employ robustness checks to verify the results of the baseline analysis. We additionally use an innovative instrumental variables strategy to account for reflection bias and endogeneity caused by selective sorting by individuals into neighborhoods, which allows us to argue for a causal interpretation. The empirical results in the baseline, as well as all robustness analyses, verify the main result of our theoretical model, and we employ a more general structure to further strengthen our results.
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In this analysis, we examine the relationship between an individual’s decision to volunteer and the average level of volunteering in the community where the individual resides. Our theoretical model is based on a coordination game , in which volunteering by others is informative regarding the benefit from volunteering. We demonstrate that the interaction between this information and one’s private information makes it more likely that he or she will volunteer, given a higher level of contributions by his or her peers. We complement this theoretical work with an empirical analysis using Census 2000 Summary File 3 and Current Population Survey (CPS) 2004-2007 September supplement file data. We control for various individual and community characteristics, and employ robustness checks to verify the results of the baseline analysis. We additionally use an innovative instrumental variables strategy to account for reflection bias and endogeneity caused by selective sorting by individuals into neighbourhoods, which allows us to argue for a causal interpretation. The empirical results in the baseline, as well as all robustness analyses, verify the main result of our theoretical model, and we employ a more general structure to further strengthen our results.
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T-cell vaccination may prevent or treat cancer and infectious diseases, but further progress is required to increase clinical efficacy. Step-by-step improvements of T-cell vaccination in phase I/II clinical studies combined with very detailed analysis of T-cell responses at the single cell level are the strategy of choice for the identification of the most promising vaccine candidates for testing in subsequent large-scale phase III clinical trials. Major aims are to fully identify the most efficient T-cells in anticancer therapy, to characterize their TCRs, and to pinpoint the mechanisms of T-cell recruitment and function in well-defined clinical situations. Here we discuss novel strategies for the assessment of human T-cell responses, revealing in part unprecedented insight into T-cell biology and novel structural principles that govern TCR-pMHC recognition. Together, the described approaches advance our knowledge of T-cell mediated-protection from human diseases.
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We propose a new theory of the demographic transition based on the evidence that body development during childhood is an important predictor of adult life expectancy. This theory is embodied in an OLG framework where fertility, longevity and education all result from individual decisions. The model displays different regimes, allowing the economy to move slowly from an initial Malthusian regime towards the Modern era. The dynamics reproduces the key features of the demographic transition, including the permanent increase in life expectancy, resulting from improvements in body development, the hump in both population growth and fertility, and a late increase in secondary educational attainments.
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El objetivo de este estudio fue evaluar el efecto de la castración quirúrgica (MC), la inmunocastración (MI), la producción de hembras (HE) y machos enteros (ME) sobre la productividad, el comportamiento y el bienestar animal. La castración quirúrgica se realizó a los siete días de edad y la inmunocastración mediante la administración a los 77 y 146 días de edad de un producto compuesto por una forma modifi cada del GnRF conjugado a una proteína capaz de inducir la formación de anticuerpos frente al GnRF. Durante el engorde, se evaluó el consumo individual, peso, espesor de grasa y lomo de 120 cerdos (36 ME, 36 MI, 24 MC y 24 hembras HE). Asimismo, se registró el comportamiento de los animales durante dos días consecutivos en las semanas 9, 11, 20, 21, 23 y 25. Los MI presentaron un crecimiento e ingestión diarias superior a los ME y un mejor índice de conversión que los MC. El espesor de lomo de los MI fue superior al de los MC, pero inferior al de los ME. La actividad se vio reducida en los MI en comparación con los ME, especialmente después de la segunda administración. Estos resultados sugieren que la inmunocastración es una alternativa a la castración quirúrgica. Result of differet alternatives to surgical castration of pigs The objective of this study was to evaluate the effect of surgical castration (MC), immunocastration (MI), keeping females (HE) and entire males (ME) on performance, behaviour and welfare. The surgical castration was carried out at 7 days of age, and the immunocastration through the administration at 77 and 146 days of age of a modifi ed form of GnRF conjugated to protein to induce the formation of antibodies against GnRF. Individual consumption, weight and fat and loin depth of 120 pigs (36 ME, 36 MI, 24MC and 24 HE) was measured. Moreover, behaviour was recorded during two consecutive days in weeks 9, 11, 20, 21, 23 and 25. MI presented a higher growth and feed intake compared to ME and a better conversion ratio than MC. Loin depth was higher for MI than for MC, but lower than for ME. Activity was reduced in MI compared to ME, especially after the second administration. These results suggest that immunocastration is an alternative to surgical castration.
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A aquest estudi s’ha analitzat si és viable l’autosuficiència energètica en base a un estudi pilot al nucli d’Araós a partir dels recursos renovables locals. S’ha realitzat un anàlisi del consum energètic del nucli d’Araós i s’ha comparat amb el potencial de producció energètica dels recursos renovables locals, incloent energia provinent de la biomassa forestal dels boscos de què disposa el municipi d’Alins i energia solar. Igualment s’han analitzat les emissions de CO2 derivades del consum energètic del poble. S’ha comprovat així que la mitjana de consum per habitant i any d’Araós supera en 1Tep a la mitjana de Catalunya. El 38% del consum d’Araós però, prové de biomassa forestal local, que compta amb unes emissions de CO2 associades pràcticament nul·les. Finalment s’ha detectat que és possible assolir l’autosuficiència energètica d’Araós, mitjançant diferents estratègies d’implantació d’energies renovables. S’han considerat dues estratègies que cobreixen de 3 a 5 vegades el consum energètic: estratègia individual amb instal·lació d’energia solar en teulada i, calefacció i ACS a partir de calderes de biomassa; estratègia col·lectiva mitjançant una central de biomassa forestal. Ambdues representen beneficis energètics, econòmics i fins un 92% de reducció d’emissions de CO2.
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Texte intégral: http://www.springerlink.com/content/3q68180337551r47/fulltext.pdf
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It has been recently emphasized that, if individuals have heterogeneous dynamics, estimates of shock persistence based on aggregate data are significatively higher than those derived from its disaggregate counterpart. However, a careful examination of the implications of this statement on the various tools routinely employed to measure persistence is missing in the literature. This paper formally examines this issue. We consider a disaggregate linear model with heterogeneous dynamics and compare the values of several measures of persistence across aggregation levels. Interestingly, we show that the average persistence of aggregate shocks, as measured by the impulse response function (IRF) of the aggregate model or by the average of the individual IRFs, is identical on all horizons. This result remains true even in situations where the units are (short-memory) stationary but the aggregate process is long-memory or even nonstationary. In contrast, other popular persistence measures, such as the sum of the autoregressive coefficients or the largest autoregressive root, tend to be higher the higher the aggregation level. We argue, however, that this should be seen more as an undesirable property of these measures than as evidence of different average persistence across aggregation levels. The results are illustrated in an application using U.S. inflation data.
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We replicate Shaw (1996) who found that individual wage growth is higher for individuals with greater preference for risk taking. Expanding her dataset with more American observations and data for Germany, Spain and Italy, we find mixed support for the earlier results. We present and estimate a new model and find that in particular the wage level is sensitive to attitudes towards risk taking. Comments given at the Labour Economics Conference in honour of Niels Westergaard (Nyborg, August 2008) and EALE 2008 (Amsterdam) and at seminars in Maastricht,Reus and Essen (RWI) are gratefully acknowledged. The authors also acknowledge financial support from the Spanish Ministry of Science and Innovation (grant number SEJ2007-66318) and from the Barcelona Economics Program of CREA. JEL code: J24; J30. Key words: wage growth, risk, post-school investment.
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En la presente memoria se ha recogido de forma escrita el conjunto de fases que se han llevado a cabo en la realización del proyecto consistente en un simulador de sistemas biológicos utilizando modelos orientados al individuo. Concretamente, el sistema biológico representado ha consistido en el movimiento y comportamiento de cohesión que poseen los peces.
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Excessive exposure to solar ultraviolet (UV) is the main cause of skin cancer. Specific prevention should be further developed to target overexposed or highly vulnerable populations. A better characterisation of anatomical UV exposure patterns is however needed for specific prevention. To develop a regression model for predicting the UV exposure ratio (ER, ratio between the anatomical dose and the corresponding ground level dose) for each body site without requiring individual measurements. A 3D numeric model (SimUVEx) was used to compute ER for various body sites and postures. A multiple fractional polynomial regression analysis was performed to identify predictors of ER. The regression model used simulation data and its performance was tested on an independent data set. Two input variables were sufficient to explain ER: the cosine of the maximal daily solar zenith angle and the fraction of the sky visible from the body site. The regression model was in good agreement with the simulated data ER (R(2)=0.988). Relative errors up to +20% and -10% were found in daily doses predictions, whereas an average relative error of only 2.4% (-0.03% to 5.4%) was found in yearly dose predictions. The regression model predicts accurately ER and UV doses on the basis of readily available data such as global UV erythemal irradiance measured at ground surface stations or inferred from satellite information. It renders the development of exposure data on a wide temporal and geographical scale possible and opens broad perspectives for epidemiological studies and skin cancer prevention.