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To model the energy economy properly, an economist might need company-specific microdata on the fuel and feedstocks used by companies that are only available from Agency A and corresponding microdata on the goods produced for companies that is only available from Agency B. To model the health of individuals in society, a demographer or health sciences policy worker might need individual-specific information on those receiving social benefits from Agencies B1, B2, and B3, corresponding income information from Agency I, and information on health services from Agencies H1 and H2. Such modeling is possible if analysts have access to the microdata and if unique, common identifiers are available (e.g., Oh and Scheuren 1975; Jabine and Scheuren 1986). If the only common identifiers are error-prone, nonunique name and address information, then probabilistic matching techniques (e.g., Newcombe et al. 1959, Fellegi and Sunter 1969) are needed.
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