Balancing the Number and Size of Sites: An Economic Approach to the Optimal Design of Cluster Samples
AbstractThe design of randomised controlled trials (RCTs) entails decisions that have economic, as well as statistical implications. In particular, the choice of an individual or cluster randomisation design may affect the cost of achieving the desired level of power, other things equal. Furthermore, if cluster randomisation is chosen, the researcher must decide how to balance the number of clusters, or "sites", and the size of each site. This paper investigates these interrelated statistical and economic issues. Its principal purpose is to elucidate the statistical and economic trade-offs to assist researchers to employ RCT designs that have desired economic, as well as statistical, properties.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 14676.
Date of creation: 2003
Date of revision:
Cluster sample; optimal design; economic analysis;
Find related papers by JEL classification:
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
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