Review Paper
Year: 2023 | Month: January | Volume: 10 | Issue: 1 | Pages: 389-398
DOI: https://doi.org/10.52403/ijrr.20230143
A Review of Multilevel Modelling and Its Empirics on Frontier Analysis
Peter Chimwanda1, Philimon Nyamugure2, Precious Mdlongwa3
1Chinhoyi University of Technology, Zimbabwe
2National University of Science and Technology, Zimbabwe
3National University of Science and Technology, Zimbabwe
Corresponding Author: Peter Chimwanda
ABSTRACT
Multilevel modelling has gained ground in the analysis of clustered data over its counterparts, aggregation and disaggregation. This is evidenced by a recent increase in its application in efficiency analysis, an area that is laden with clustered data. Conventional efficiency analysis models have relied on the reduction of tiered data to a single level by aggregation, disaggregation or, to some extent, ignoring the structure of data by discarding the variables, outside the level of the unit of analysis. The article presents a review of existing literature on multilevel models as an entity. Panel data, a special case of multilevel data, are discussed. Attention is then given to how these (multilevel) models, together with panel data, have found their way in efficiency analysis in literature.
Keywords: multilevel, frontier, clustered data.
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