926 resultados para Graduate
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Seguint la tendència mundial de crear dipòsits institucionals d'accés lliure per recopilar i preservar els documents d'investigació generats en les institucions acadèmiques, el CESCA i el CBUC han posat en funcionament RECERCAT. RECERCAT és un dipòsit cooperatiu de documents digitals que inclou la literatura de recerca de les universitats i dels centres d'investigació de Catalunya, com ara articles encara no publicats (preprints), comunicacions a congressos, informes de recerca, working papers, projectes de final de carrera, memòries tècniques, etc. La comunicació pretén explicar els processos que s'han seguit per posar en marxa aquest projecte: des de la selecció i adaptació del programari amb el que funciona (DSpace), fins als treballs duts a terme per establir les polítiques d'accés, d’introducció de dades, de metadades Dublin Core necessàries per descriure els documents, el tipus de llicència de les Creative Commons sota la qual es troben subjectes els documents, etc.
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Artist's talk for MFA Thesis Exhibition February 7-11, 2011, Peggy Phelps Gallery, Claremont Graduate University.
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MFA Thesis Exhibition February 7-11, 2011, Peggy Phelps Gallery, Claremont Graduate University.
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MFA Thesis Exhibition February 7-11, 2011, Peggy Phelps Gallery, Claremont Graduate University.
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MFA Thesis Exhibition February 7-11, 2011, Peggy Phelps Gallery, Claremont Graduate University.
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MFA Thesis Exhibition February 7-11, 2011, Peggy Phelps Gallery, Claremont Graduate University.
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This paper reflects the contents of the Plenary Lecture addressed to the participants of the 2nd Graduate Conference, European Consortium for Political Science, Universitat Autonòma de Barcelona, 25 August 2008
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This paper reports on: (a) new primary source evidence on; and (b) statistical and econometric analysis of high technology clusters in Scotland. It focuses on the following sectors: software, life sciences, microelectronics, optoelectronics, and digital media. Evidence on a postal and e-mailed questionnaire is presented and discussed under the headings of: performance, resources, collaboration & cooperation, embeddedness, and innovation. The sampled firms are characterised as being small (viz. micro-firms and SMEs), knowledge intensive (largely graduate staff), research intensive (mean spend on R&D GBP 842k), and internationalised (mainly selling to markets beyond Europe). Preliminary statistical evidence is presented on Gibrat’s Law (independence of growth and size) and the Schumpeterian Hypothesis (scale economies in R&D). Estimates suggest a short-run equilibrium size of just 100 employees, but a long-run equilibrium size of 1000 employees. Further, to achieve the Schumpeterian effect (of marked scale economies in R&D), estimates suggest that firms have to grow to very much larger sizes of beyond 3,000 employees. We argue that the principal way of achieving the latter scale may need to be by takeovers and mergers, rather than by internally driven growth.
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There are both theoretical and empirical reasons for believing that the parameters of macroeconomic models may vary over time. However, work with time-varying parameter models has largely involved Vector autoregressions (VARs), ignoring cointegration. This is despite the fact that cointegration plays an important role in informing macroeconomists on a range of issues. In this paper we develop time varying parameter models which permit cointegration. Time-varying parameter VARs (TVP-VARs) typically use state space representations to model the evolution of parameters. In this paper, we show that it is not sensible to use straightforward extensions of TVP-VARs when allowing for cointegration. Instead we develop a specification which allows for the cointegrating space to evolve over time in a manner comparable to the random walk variation used with TVP-VARs. The properties of our approach are investigated before developing a method of posterior simulation. We use our methods in an empirical investigation involving a permanent/transitory variance decomposition for inflation.
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Projecte de recerca elaborat a partir d’una estada a la Graduate School of Education and Information Studies (GSEIS) de la University of California at Los Angeles (UCLA), Estats Units, entre gener i juny del 2007. En el context d’elaboració d’una futura tesi doctoral sobre la metodologia comunicativa crítica i la interacció persona-ordinador, la intenció ha estat aprofundir des d'una perspectiva internacional. La GSEIS i la UCLA en general conta amb innumerables recursos bibliogràfics així com amb professorat de reconegut prestigi internacional en la recerca vinculada a la barreja de temes com l'educació, la inclusió i la transformació social, la Comunicació, les TIC i el disseny de la Interacció Persona Ordinador; integració de disciplines en la que es mou la meva tesi doctoral. La possibilitat d'accedir a la Young Research Library, així com l'assistència a diverses conferències relacionades amb el meu àmbit d'estudi, la celebració de diverses tutories amb professorat de la GSEIS i d'altres departaments de la UCLA, i la invitació a participar del seminari de doctorat del professor Douglas Kellner, han contribuït de forma remarcable al meu projecte amb: aportacions de la literatura internacional i nombrosos exemples de bones pràctiques de projectes vinculats al Participatory Design com a metodologia en si mateixa desvinculada del Disseny Centrat en l'Usuari, un dels aspectes centrals de la meva tesi. Amb tot això vaig poder reforçar i desenvolupar quatre dels capítols de la meva dissertació, concretament els relacionats amb el context social i metodològic, i els que presenten el disseny de la Interacció Persona ordinador des d'un enfocament general així com el que es centra en el Disseny participatiu i les seves vinculacions amb la metodologia comunicativa crítica.
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This paper develops methods for Stochastic Search Variable Selection (currently popular with regression and Vector Autoregressive models) for Vector Error Correction models where there are many possible restrictions on the cointegration space. We show how this allows the researcher to begin with a single unrestricted model and either do model selection or model averaging in an automatic and computationally efficient manner. We apply our methods to a large UK macroeconomic model.
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This paper estimates whether both sourcing knowledge from and/or cooperating on innovation with HEIs (Higher Education Institutions)1 impacts on establishment-level total factor productivity (TFP) using a dataset created by merging the UK government’s Community Innovation Survey (CIS) with the Annual Respondents Database (ARD). It also considers whether higher graduate employment (as a measure of human capital) also impacts positively on TFP at the establishment-level. Many studies have investigated the relationship between university-firm knowledge links and innovation (see, for example, Mansfield, 1991; Becker, 2003; Thorn et al, 2007). Most of these studies find a positive impact. Fewer studies have investigated the impact of university-firm knowledge links on productivity. Belderbos et al. (2004), using the Dutch CIS, find that cooperation with universities has no statistically significant impact on the growth of labour productivity. Medda et al. (2005) find no statistically significant effect of collaborative research undertaken by Italian manufacturing firms and universities on the growth of TFP. Arvanitis et al. (2008), using Swiss data, show that university-firm knowledge and technology transfer has both a direct impact on labour productivity and an indirect impact through its positive impact on innovation. In sum, there is as yet no clear consensus as to the impact of university-firm knowledge links on productivity.
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There have been numerous attempts to assess the overall impact of Higher Education Institutions on regional economies in the UK and elsewhere. There are two disparate approaches focussing on: demand-side effects of HEIs, exerted through universities’ expenditures within the local economy; HEIs’ contribution to the “knowledge economy”. However, neither approach seeks to measure the impact on regional economies that HEIs exert through the enhanced productivity of their graduates. We address this lacuna and explore the system-wide impact of the graduates on the regional economy. An extensive and sophisticated literature suggests that graduates enjoy a significant wage premium, often interpreted as reflecting their greater productivity relative to non-graduates. If this is so there is a clear and direct supply-side impact of HEI activities on regional economies through the employment of their graduates. However, there is some dispute over the extent to which the graduate wage premium reflects innate abilities rather than the impact of higher education per se. We use an HEI-disaggregated computable general equilibrium model of Scotland to estimate the impact of the growing proportion of graduates in the Scottish labour force that is implied by the current participation rate and demographic change, taking the graduate wage premium in Scotland as an indicator of productivity enhancement. We conduct a range of sensitivity analyses to assess the robustness of our results. While the detailed results do, of course, vary with alternative assumptions about future graduate retention rates and the size of the graduate wage premium, for example, they do suggest that the long-term supply-side impacts of HEIs provide a significant boost to regional GDP. Furthermore, the results suggest that the supply-side impacts of HEIs are likely to be more important than the expenditure impacts that are the focus of most “impact” studies.
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This paper considers the instrumental variable regression model when there is uncertainty about the set of instruments, exogeneity restrictions, the validity of identifying restrictions and the set of exogenous regressors. This uncertainty can result in a huge number of models. To avoid statistical problems associated with standard model selection procedures, we develop a reversible jump Markov chain Monte Carlo algorithm that allows us to do Bayesian model averaging. The algorithm is very exible and can be easily adapted to analyze any of the di¤erent priors that have been proposed in the Bayesian instrumental variables literature. We show how to calculate the probability of any relevant restriction (e.g. the posterior probability that over-identifying restrictions hold) and discuss diagnostic checking using the posterior distribution of discrepancy vectors. We illustrate our methods in a returns-to-schooling application.
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This paper analyzes the early research performance of PhD graduates in labor economics, addressing the following questions: Are there major productivity differences between graduates from American and European institutions? If so, how relevant is the quality of the training received (i.e. ranking of institution and supervisor) and the research environment in the subsequent job placement institution? The population under study consists of labor economics PhD graduates who received their degree in the years 2000 to 2005 in Europe or the USA. Research productivity is evaluated alternatively as the number of publications or the quality-adjusted number of publications of an individual. When restricting the analysis to the number of publications, results suggest a higher productivity by graduates from European universities than from USA universities, but this difference vanishes when accounting for the quality of the publication. The results also indicate that graduates placed at American institutions, in particular top ones, are likely to publish more quality-adjusted articles than their European counterparts. This may be because, when hired, they already have several good acceptances or because of more focused research efforts and clearer career incentives.