Thesis (Ph. D.)--University of Washington, 1991. / Vita. Includes bibliographical references (leaves [162]-168).

Thesis (M.S.)--State University of New York at Binghamton, Department of Systems Science and Industrial Engineering, Thomas J. Watson School of Engineering and Applied Science, 2007. / Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 2004. / Supervisor: Rebecca Richards-Kortum. Vita. Includes bibliographical references. Available also from UMI company.

Thesis (M.S. in Applied Physics)--Naval Postgraduate School, Dec. 2004. / Thesis Advisor(s): Christopher Olsen. Includes bibliographical references (p. 83-84). Also available online.

Thesis (Ph. D.)--University of Rhode Island, 2003. / Typescript. Includes bibliographical references (leaves 154-158).

Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 172-185).

Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 138-148).

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

Submitted by Filipe Correia (fcorreia@fgvmail.br) on 2011-10-21T15:48:52Z No. of bitstreams: 1 Dissertação_Filipe_Correia.pdf: 336583 bytes, checksum: cc01dcd1cdf01f077f687eb2a1f68fc8 (MD5) / Approved for entry into archive by Andrea Virginio Machado (andrea.machado@fgv.br) on 2011-10-31T11:25:19Z (GMT) No. of bitstreams: 1 Dissertação_Filipe_Correia.pdf: 336583 bytes, checksum: cc01dcd1cdf01f077f687eb2a1f68fc8 (MD5) / Made available in DSpace on 2011-10-31T11:26:35Z (GMT). No. of bitstreams: 1 Dissertação_Filipe_Correia.pdf: 336583 bytes, checksum: cc01dcd1cdf01f077f687eb2a1f68fc8 (MD5) Previous issue date: 2011-07-07 / This paper aims to study the fiscal policy effects on a wide range of US macroeconomic variables. The empirical work is based upon a structural VAR with latent factors (FAVAR) and for which we develop a special identification scheme. As we estimate the factors using a principal component approach, theses estimates are very similar to observed industrial production and interest rate time series, and this is crucial for identification and instruments choice in our VAR model. Using impulse response functions we can see both production and personal consumption increase after a government expenditure exogenous shock. This effect of government expenditure is also positive among different income groups and further we find out lower classes are affected at the most after a public expenditure shock. This means this kind of consumers are probably subject to some credit rationing which difficults them to smooth consumption after an aggregate shock. / O objetivo desse artigo é analisar o impacto da política fiscal sobre diversas variáveis macroeconômicas dos EUA. A metodologia do trabalho empírico baseia-se em um modelo VAR estrutural que incorpora fatores latentes (FAVAR) e para o qual desenvolve-se um esquema de identificação específico. Visto que os fatores são estimados por principal components, estes aproximam-se muito das séries observadas de produção industrial e taxa de juros. Como será visto, este resultado é de fundamental importância para a hipótese de identificação e a escolha dos instrumentos do modelo VAR. Por meio das funções de resposta ao impulso analisa-se os efeitos de um aumento do gasto do governo sobre variáveis de produto e consumo e, por sua vez, corroborando a hipótese de que tanto o PIB quanto as despesas de consumo das famílias aumentam depois desse choque exógeno. Em particular esse efeito sobre o consumo também é verificado quando separamos os indivíduos em várias classes de acordo com renda. Olhando cuidadosamente no entanto pode-se perceber que um aumento no gasto público possui mais impacto sobre os consumidores de renda mais baixa. Ou seja, é provável que por estarem sujeitas a restrições de crédito, as classes mais baixas tem mais dificuldade em suavizar o consumo após um choque agregado.

With an increasing number of students enrolling at higher education institutions in South Africa, it has become important to investigate whether these institutions are using their resources adequately. This study uses data envelopment analysis (DEA) to estimate the efficiency of 23 South African tertiary education institutions based on both teaching and research outputs. Using DEA we are able to rank South African universities according to their use of resources in these two areas. These rankings can identify institutions which are performing well and also those which require improvement. The effect that merging institutions has on this efficiency is also determined. Owing to the limited sample size, variable reduction techniques, including the efficiency contribution measure (ECM) and principal components analysis (PCA-DEA), were used to improve the discrimination of the analysis.