Coleman, Charles (2015): SAS® Macros for Constraining Arrays of Numbers. Published in: Southeast SAS Users Group 2015 Proceedings
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Abstract
Many applications require constraining arrays of numbers to controls in one or two dimensions. Example applications include survey estimates, disclosure avoidance, inputoutput tables, and population and other estimates and projections. If the results are allowed to take on any nonnegative values, raking (a.k.a. scaling) solves the problem in one dimension and twoway iterative raking solves it in two dimensions. Each of these raking macros has an option for the user to output a dataset containing the rakes. The problem is more complicated in one dimension if the data can be of any sign, the socalled “plusminus” problem, as simple raking may produce unacceptable results. This problem is addressed by generalized raking, which preserves the structure of the data at the cost of a nonunique solution. Often, results are required to be rounded so as to preserve the original totals. The CoxErnst algorithm accomplishes an optimal controlled rounding in two dimensions. In one dimension, the Greatest Mantissa algorithm is a simplified version of the CoxErnst algorithm.
Each macro contains error control code. The macro variable &errorcode is made available to the programmer to enable error trapping.
Item Type:  MPRA Paper 

Original Title:  SAS® Macros for Constraining Arrays of Numbers 
Language:  English 
Keywords:  RAS. RangeRAS, RRAS, IPF, iterative proportionate fitting, raking, controlled rounding, CoxErnst algorithm 
Subjects:  C  Mathematical and Quantitative Methods > C0  General > C02  Mathematical Methods C  Mathematical and Quantitative Methods > C6  Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C67  InputOutput Models C  Mathematical and Quantitative Methods > C8  Data Collection and Data Estimation Methodology ; Computer Programs > C88  Other Computer Software D  Microeconomics > D5  General Equilibrium and Disequilibrium > D57  InputOutput Tables and Analysis J  Labor and Demographic Economics > J1  Demographic Economics > J10  General R  Urban, Rural, Regional, Real Estate, and Transportation Economics > R1  General Regional Economics > R15  Econometric and InputOutput Models ; Other Models 
Item ID:  77843 
Depositing User:  Dr. Charles Coleman 
Date Deposited:  06 Aug 2017 21:25 
Last Modified:  03 Oct 2019 17:51 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/77843 
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