Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers

Caves, Douglas W.; Christensen, Laurits R.; Diewert, W. Erwin

doi:10.2307/2232257

Cited by 1,188 publications

(677 citation statements)

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“…Lastly, in this paper, we also compute Malmquist indexes, which measure the change of productivity over time (for a mathematical formulation of these indexes, see Malmquist, 1953;Caves et al, 1982;Johnes, 2004). These indexes analyze the "change in efficiency scores" between two periods, and separate two different components of this change: one related to the real change in productivity ("pure" efficiency), and one related to the shifts of production frontier (technology improvement or worsening).…”

Section: Methodology and Datamentioning

confidence: 99%

Comparing efficiency in a cross-country perspective: the case of Italian and Spanish state universities

2009

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Esta es la versión de autor del artículo publicado en:This is an author produced version of a paper published in:Higher Education 59.1 (2010) each "country-specific" frontier; but when compared together, Italian universities seem relatively more efficient. Malmquist indexes show, in both cases, efficiency improvements in the period considered. In the Italian case, this improvement is due to major "technological changes"; that is, the introduction of some structural reforms in the sector (e.g. Bachelor/Master curricula). In the Spanish case, there is an improvement in "pure" efficiency, which is due to new funding models. Further stages of the study underline the role of "regional effects", probably due to different socio-economic conditions in Italy, and to the decentralization process in Spain.JEL classification: C14, H52, I21, I22

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Section: Methodology and Datamentioning

confidence: 99%

Comparing efficiency in a cross-country perspective: the case of Italian and Spanish state universities

2009

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“…Since our purpose is to discuss both TFP developments as well as TFP differences among the regions, we follow the procedure developed by Caves, Christensen and Diewert (1982). These authors derived a multilateral consistent Thörnquist-Theil index that exactly represented the changes in a translog function over time and over regions.…”

Section: Tfp Considerationsmentioning

confidence: 99%

Dynamics of productivity and technical efficiency in Russian agriculture

Bokusheva

Hockmann

Kumbhakar

2011

European Review of Agricultural Economics

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This paper analyses regional productivity and technical efficiency development in Russian agriculture. We formulate a regional stochastic frontier model by assuming that producers maximise return to the outlay. We control for regional heterogeneity and endogeneity/simultaneity in input decisions, technical efficiency and technical change by employing a two-step estimation procedure. In the first step, we use the system Generalized Method of Moments approach (system GMM), which gives consistent estimates of the production technology parameters. In the second step, we apply the standard stochastic frontier approach to estimate technical efficiency and its determinants.

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“…It is also possible to weight according to the relative size of each country (this is known as plutocratic weighting 12 ), but in the present context, democratic weighting seems more appropriate. FMR did not calculate the country-specific estimates of real per capita consumption defined by (9) or take the geometric average of these estimates, but we conjecture that this geometric average will generally be close to GEKS or Caves et al (1982) estimates based on traditional multilateral index number theory (which does not use econometrics).…”

Section: Introduction To Measurement With Theorymentioning

confidence: 88%

“…This literature dates back to the pioneering contributions of Jorgenson and Griliches (1967). Later, their continuous-time methodology using Divisia indices was adapted to discrete time and the use of superlative indexes by Diewert (1976), Caves et al (1982), and Diewert and Morrison (1986).…”

Section: Notesmentioning

confidence: 99%