Abstract
This paper describes the results of over four years of research, development, implementation and use of a system which will optimally merge microdata files. The merge process requires solving transportation problems with up to 50 000 constraints and 60 million variables, and is now being performed on a production basis. The resultant statistical data files fuel U.S. tax policy evaluation models which are used today in the design and analysis of Federal legislation. Computational experience with this pioneering optimization software is described.
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© 1981 The Mathematical Programming Society
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Barr, R.S., Scott Turner, J. (1981). Microdata file merging through large-scale network technology. In: Klingman, D., Mulvey, J.M. (eds) Network Models and Associated Applications. Mathematical Programming Studies, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0120935
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DOI: https://doi.org/10.1007/BFb0120935
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