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The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics.
The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.
Authors: Cohen, Steven B.
Article Type: Research Article
Abstract: The National Medical Care Utilization and Expenditure Survey (NMCUES), which has a complex survey design, was further complicated by combining two independently drawn national samples of households from the Research Triangle Institute (RTI) and the National Opinion Research Center (NORC). It is assumed that because the structures of both national area samples are similar, they are thereby compatible and allow for the derivation of unbiased national estimates of relevant health parameters. However, even though the two survey organizations operate under a common set of survey conditions with comparable samples, the actual data generated may differ across them, over and above …differences due to pure sampling error. The NORC sample had a higher representation of individuals living in non-SMSA urban areas, of individuals with fair or poor health status, and of individuals incapable of performing usual activity. In addition, significantly higher mean estimates of the number of restricted activity days, of total charges for dental Visits, for non-doctor visits and for hospital stays, and of overall total charges, characterized the NORC sample. The consistent directional difference in these health care estimates indicated a data collection organization effect was operational in the NMCUES. A comparison of item non response rates, however, indicated the level of data quality on this dimension was generally equivalent across survey organizations. Further, the observed survey design differentials across organizations did not significantly differ in their impact on the precision in survey estimates. When a data collection organization effect is operational for a set of related survey statistics, as in the National Medical Care Utilization and Expenditure Survey, the use of more than one survey organization should be seriously considered. Show more
Citation: Journal of Economic and Social Measurement, vol. 14, no. 4, pp. 367-378, 1986
Authors: Shack-Marquez, Janice
Article Type: Research Article
Abstract: This paper studies the effects of repeated interviewing (termed interview group bias) on the accuracy of aggregate unemployment rates computed from the Current Population Survey. Studies of rotation group bias at the aggregate level have shown that reports of labor force status vary systematically with the number of times a household has been sampled. This paper presents estimates of the systematic variation using microdata and shows that previous studies have underestimated its magnitude. It is shown that rotation group bias is a special case of interview group bias and that the magnitude of interview group bias is substantial enough that …unemployment rates across groups interviewed only once can be more than 50% higher than for groups interviewed four times. Show more
Citation: Journal of Economic and Social Measurement, vol. 14, no. 4, pp. 379-398, 1986
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