875 resultados para Technological forecasting


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Planners in public and private institutions would like coherent forecasts of the components of age-specic mortality, such as causes of death. This has been di cult to achieve because the relative values of the forecast components often fail to behave in a way that is coherent with historical experience. In addition, when the group forecasts are combined the result is often incompatible with an all-groups forecast. It has been shown that cause-specic mortality forecasts are pessimistic when compared with all-cause forecasts (Wilmoth, 1995). This paper abandons the conventional approach of using log mortality rates and forecasts the density of deaths in the life table. Since these values obey a unit sum constraint for both conventional single-decrement life tables (only one absorbing state) and multiple-decrement tables (more than one absorbing state), they are intrinsically relative rather than absolute values across decrements as well as ages. Using the methods of Compositional Data Analysis pioneered by Aitchison (1986), death densities are transformed into the real space so that the full range of multivariate statistics can be applied, then back-transformed to positive values so that the unit sum constraint is honoured. The structure of the best-known, single-decrement mortality-rate forecasting model, devised by Lee and Carter (1992), is expressed in compositional form and the results from the two models are compared. The compositional model is extended to a multiple-decrement form and used to forecast mortality by cause of death for Japan

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En este artículo utilizamos un modelo de generaciones traslapadas con heterogeneidad en la tasa de impaciencia para mostrar que los efectos de un cambio tecnológico aumentador de capital no son simétricos en los agentes y pueden conllevar una reducci on en el consumo. La asimetría en la tasa de impaciencia de los agentes en un período, tiene consecuencias sobre los beneficios del cambio tecnológico para las generaciones futuras. Menores tasas de impaciencia llevan a mayores niveles de capital y de consumo, si se entiende que la economía tiene el suficiente nivel de capital per capita.

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El presente trabajo logra exponer los diferentes futuros escenarios laborales que viven los egresados de la Facultad de Administración de la Universidad del Rosario. Para esto se ha recurrido al uso de metodología la prospectiva, unidos a un sólido marco teórico, a la utilización de la herramienta Mic Mac y a la opinión de expertos en el tema. En la actualidad, la problemática que viven la mayoría de los egresados radica en la falta de experiencia a la hora de ser admitidos en un puesto laboral, lo cual se representa en el aumento del desempleo y un malestar para su vida laboral. Esta es la razón por la cual se percibió la necesidad de hacer este estudio, para esclarecer cómo es la realidad de los profesionales, y al final poder proporcionar una alternativa para la mejora de los escenarios. Sin embargo, es importante recordar que el futuro es incierto y que todos los escenarios experimentados son resultado de estudios científicos y no de realidades comprobadas.

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Se utiliza un modelo de innovaciones sesgadas para estudiar los efectos de cambios exógenos en la oferta laboral. En un contexto de innovaciones sesgadas, a medida que las economías acumulan capital, el trabajo se hace relativamente más escaso y más caro, por este motivo, hay incentivos para adoptar tecnologías ahorradoras de trabajo. Del mismo modo un cambio en la oferta laboral afecta la abundancia de factores y sus precios relativos. En general, una reducción de la oferta laboral, hace que el trabajo sea más caro y genera incentivos para cambio tecnológico ahorrador de trabajo. Así, el efecto inicial que tiene el cambio en la oferta laboral sobre los precios de los factores es mitigado por el cambio tecnológico. Finalmente, los movimientos en la remuneración a los factores afectan las decisiones de ahorro y, por lo tanto, la dinámica del crecimiento. En este trabajo se exploran las consecuencias de una reducción de la oferta laboral en dos contextos teóricos diferentes: un modelo de agentes homogéneos y horizonte infinito y un modelo de generaciones traslapadas.

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We propose a one-good model where technological change is factor saving and costly. We consider a production function with two reproducible factors: physical capital and human capital, and one not reproducible factor. The main predictions of the model are the following: (a) The elasticity of output with respect to the reproducible factors depends on the factor abundance of the economies. (b) The income share of reproducible factors increases with the stage of development. (c) Depending on the initial conditions, in some economies the production function converges to AK, while in other economies long-run growth is zero. (d) The share of human factors (raw labor and human capital) converges to a positive number lower than one. Along the transition it may decrease, increase or remain constant.

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Este documento estima modelos lineales y no-lineales de corrección de errores para los precios spot de cuatro tipos de café. En concordancia con las leyes económicas, se encuentra evidencia que cuando los precios están por encima de su nivel de equilibrio, retornan a éste mas lentamente que cuando están por debajo. Esto puede reflejar el hecho que, en el corto plazo, para los países productores de café es mas fácil restringir la oferta para incrementar precios, que incrementarla para reducirlos. Además, se encuentra evidencia que el ajuste es más rápido cuando las desviaciones del equilibrio son mayores. Los pronósticos que se obtienen a partir de los modelos de corrección de errores no lineales y asimétricos considerados en el trabajo, ofrecen una leve mejoría cuando se comparan con los pronósticos que resultan de un modelo de paseo aleatorio.

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In this paper we use the most representative models that exist in the literature on term structure of interest rates. In particular, we explore affine one factor models and polynomial-type approximations such as Nelson and Siegel. Our empirical application considers monthly data of USA and Colombia for estimation and forecasting. We find that affine models do not provide adequate performance either in-sample or out-of-sample. On the contrary, parsimonious models such as Nelson and Siegel have adequate results in-sample, however out-of-sample they are not able to systematically improve upon random walk base forecast.

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Nowadays, companies are living great difficulties on managing their business due to constant and unpredictable economic market fluctuations. Recent changes in market trends (such as the constant demand for new products and services, mass customization and the drastic reduction of delivery time) lead companies to adopt strategies of creating partnerships with other companies as a way to respond effectively to such difficult economical times. Collaborative Networks’ concept born by the consequence of companies could no longer consider their internal business processes’ management as sufficient and tend to seek for a collaborative approach with other partners for their critical processes. Information technologies (ICT) assumed a major role acting as “enablers” of these kinds of networks, enhancing information sharing and business process integration. Several new trends concerning ICT architectures have been created to support collaborative networks requirements, but still doesn’t exist a common platform to reduce the needed integration effort on virtual organizations. This study aims to investigate the current technological solutions available in the market which enhances the management of companies’ business processes (specially, Collaborative Planning). Finally, the research work ends with the presentation of a conceptual model to answer to the constraints evaluated.

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This paper presents a guide for teachers about the computer lab at Central Institute for the Deaf.

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This report provides a forecast of the potential direct and indirect influences of various kinds of technologies on the LTC milieu, answering the following question: from a technology-driven perspective: “Consider each technological solution. What could be its future usage in the LTC sector?” Future technological deployments will induce changes in the respective roles of the care recipient and of the formal and informal carers, with an impact on three major concerns: the transformation of the care recipient into a proactive subject, the augmented potentiality for home care and the new functions that informal carers could assume.

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This paper explores the extent to which the illusive phenomenon of workplace innovation has pervaded workplaces in Europe and whether it could be one of the answers to Europe’s longterm social and economic challenges that stem from an ageing workforce and the need for more flexibility to stay competitive. Basic data drawn from European Working Conditions Survey conducted every five years by the Dublin-based European Foundation for the Improvement of Living and Working Conditions are supplemented by a series of case studies to look at the problems encountered in introducing workplace innovation and possible solutions. One set of case studies examines the following organisations: SGI/GI (Slovak Governance Institute (Slovakia), as representative of the world of small- and medium-sized enterprises; Oticon (Denmark) as representative of manufacturing companies; the Open University (UK), as representative of educational organizations; and FPS Social Security (Belgium) representing the public sector. Two final case studies focus on the country-level, one looking at of how a specific innovation can become fully mainstreamed (in the Netherlands and the ‘part-time economy’) and the other (Finland and TEKES) looking at how a government programme can help disseminate workplace innovation. These six case studies, together with the statistical analysis, constitute the main empirical value added of the report.