Choice of a Distribution Assumption in Estimating Technical Efficiency: An Application of Household Data from Tanzania

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dc.contributor.author Nassoro, Hussein N.
dc.date.accessioned 2022-03-11T06:18:15Z
dc.date.available 2022-03-11T06:18:15Z
dc.date.issued 2021-09
dc.identifier.issn 2591 - 6890
dc.identifier.uri http://41.59.91.37:8080/xmlui/handle/123456789/195
dc.description.abstract This study aimed at attesting whether the application of different distribution assumptions of the error term has any effects on the efficiency score through the application of the National Panel Survey data from Tanzania. The study considered a half-normal and exponential distribution assumption. The results for the stochastic frontier were estimated and their efficiency scores support the views that indeed different distribution assumptions have different effects on the level of efficiency score. In both datasets, the exponential distribution assumption is showing a much higher level of mean efficiency score. The study recommends the need to specify a distribution assumption that should be considered during the estimation of the efficiency scores. en_US
dc.language.iso en en_US
dc.publisher The Institute of Finance Management en_US
dc.subject Cobb Douglass en_US
dc.subject Exponential en_US
dc.subject Distribution assumption en_US
dc.subject Normal en_US
dc.subject Stochastic en_US
dc.title Choice of a Distribution Assumption in Estimating Technical Efficiency: An Application of Household Data from Tanzania en_US
dc.type Article en_US


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