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dc.contributor.advisorKejak, Michal
dc.creatorBrázdik, František
dc.date.accessioned2018-10-02T17:01:45Z
dc.date.available2018-10-02T17:01:45Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/20.500.11956/21560
dc.description.abstractDisertace: Essays on Mathematical Methods for Economics Autor: František Brázdik Abstrakt v češtině - dokument nenalezencs_CZ
dc.description.abstractIn the first chapter, by introduction of output augmentation and input reduction I extend additive models for stochastic data envelopment analysis (SDEA), which were developed by Li (1998) to handle the noise in the data. Applying the linearization procedure by Li (1998) the linearized versions of models are derived. In the empirical part of this chapter, the efficiency scores of West Java rice farms are computed. The computed scores are compared to the stochastic frontier approach scores by Druska and Horrace (2004) and weak ranking consistency with results of stochastic frontier method is observed. The objectives of the second chapter are to evaluate technical and scale efficiency of rice farms in West Java and to identify determinants affecting farms' efficiency. Data Envelopment Analysis is used for estimation of technical efficiency scores. Additionally, Tobit regression is used to explain the variation in the efficiency scores by farm-specific factors. I conclude that the farm size is one of the most important factors of farm technical efficiency and that high land fragmentation was the main source of farm inefficiency during the final period of intensification era, known as Green Revolution. In the last, chapter I examine macroeconomic stability and the properties of business cycles in the model with...en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Fakulta sociálních vědcs_CZ
dc.titleEssays on Mathematical Methods for Economicsen_US
dc.typedizertační prácecs_CZ
dcterms.created2009
dcterms.dateAccepted2009-08-31
dc.description.departmentCERGEcs_CZ
dc.description.facultyFaculty of Social Sciencesen_US
dc.description.facultyFakulta sociálních vědcs_CZ
dc.identifier.repId78949
dc.contributor.refereeWieland, Volker
dc.contributor.refereeHalická, Margaréta
dc.identifier.aleph002069972
thesis.degree.namePh.D.
thesis.degree.leveldoktorskécs_CZ
thesis.degree.disciplineEconomicsen_US
thesis.degree.disciplineEkonomiecs_CZ
thesis.degree.programEkonomické teoriecs_CZ
thesis.degree.programEconomic Theoryen_US
uk.faculty-name.csFakulta sociálních vědcs_CZ
uk.faculty-name.enFaculty of Social Sciencesen_US
uk.faculty-abbr.csFSVcs_CZ
uk.degree-discipline.csEkonomiecs_CZ
uk.degree-discipline.enEconomicsen_US
uk.degree-program.csEkonomické teoriecs_CZ
uk.degree-program.enEconomic Theoryen_US
thesis.grade.csProspěl/acs_CZ
thesis.grade.enPassen_US
uk.abstract.csDisertace: Essays on Mathematical Methods for Economics Autor: František Brázdik Abstrakt v češtině - dokument nenalezencs_CZ
uk.abstract.enIn the first chapter, by introduction of output augmentation and input reduction I extend additive models for stochastic data envelopment analysis (SDEA), which were developed by Li (1998) to handle the noise in the data. Applying the linearization procedure by Li (1998) the linearized versions of models are derived. In the empirical part of this chapter, the efficiency scores of West Java rice farms are computed. The computed scores are compared to the stochastic frontier approach scores by Druska and Horrace (2004) and weak ranking consistency with results of stochastic frontier method is observed. The objectives of the second chapter are to evaluate technical and scale efficiency of rice farms in West Java and to identify determinants affecting farms' efficiency. Data Envelopment Analysis is used for estimation of technical efficiency scores. Additionally, Tobit regression is used to explain the variation in the efficiency scores by farm-specific factors. I conclude that the farm size is one of the most important factors of farm technical efficiency and that high land fragmentation was the main source of farm inefficiency during the final period of intensification era, known as Green Revolution. In the last, chapter I examine macroeconomic stability and the properties of business cycles in the model with...en_US
uk.file-availabilityV
uk.publication-placePrahacs_CZ
uk.grantorUniverzita Karlova, Fakulta sociálních věd, CERGEcs_CZ
thesis.grade.codeP


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