2 resultados para super pseudorandomness

em University of Connecticut - USA


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Lovell and Rouse (LR) have recently proposed a modification of the standard DEA model that overcomes the infeasibility problem often encountered in computing super-efficiency. In the LR procedure one appropriately scales up the observed input vector (scale down the output vector) of the relevant super-efficient firm thereby usually creating its inefficient surrogate. An alternative procedure proposed in this paper uses the directional distance function introduced by Chambers, Chung, and Färe and the resulting Nerlove-Luenberger (NL) measure of super-efficiency. The fact that the directional distance function combines features of both an input-oriented and an output-oriented model, generally leads to a more complete ranking of the observations than either of the oriented models. An added advantage of this approach is that the NL super-efficiency measure is unique and does not depend on any arbitrary choice of a scaling parameter. A data set on international airlines from Coelli, Perelman, and Griffel-Tatje (2002) is utilized in an illustrative empirical application.

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Kenya Growth Vision 2030 proposes policy and institutional reforms that make it possible for the country to achieve development status of a middle income country by 2030. This paper outlines the institutional framework necessary to achieve ÈSuper Growth,É which describes the character of growth required to meet targets stipulated in the Vision. The paper provides evidence confirming the importance of improving the quality of governance to the achievement of the Vision. The paper also demonstrates that the country is characterized by a high probability of reverting to poor governance. It is argued that, to achieve super growth, the country must attain an institutional tipping point which associates with low reversion rates to weaker institutions. The paper provides suggestions for institutional reforms that result in the achievement of an institutional tipping point and super growth.