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Price: EUR 125.00The 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: Swanson, David A. | Kintner, Hallie J. | McGehee, Mary
Article Type: Research Article
Abstract: Estimates of net migration are virtually always constructed from the standpoint that the mortality underlying a survived population is not stochastic and the census counts framing the intercensal period are error free. There is compelling evidence, however, that mortality should …be viewed as a random variable and census counts contain systematic errors. This evidence suggests that net migration accuracy is affected both by random error and bias. We explore the estimation of net migration accuracy by placing “Mean Square Error” (MSE) confidence intervals around 1980–1990 net migration estimates for Arkansas made using the Forward Life Table Survival Method. This type of confidence interval measures accuracy by incorporating both bias and random error. We provide empirical and theoretical justifications for the use of this type of confidence interval over the more commonly-found typed based solely on random error, Since bias can affect probability levels, we provide a simple adjustment that preserves the desired level of probability for the MSE confidence intervals and produces an unbiased estimator. For the illustrative age-gender-race net migration data for Arkansas, we construct 66% MSE confidence intervals and note that they become wider as random mortality variation increases. They also become wider as the differential between 1980 and 1990 net census undercount error increases for a given cohort. We argue that the MSE intervals provide an accurate description of the uncertainty in net migration estimates and that they have useful applications. Show more
DOI: 10.3233/JEM-1995-21201
Citation: Journal of Economic and Social Measurement, vol. 21, no. 2, pp. 85-126, 1995
Authors: Brynin, Malcolm | Smith, Rachel
Article Type: Research Article
Abstract: There are good reasons for wishing to record household relationships as precisely as possible, particularly in panel surveys. Change in the composition of the household has an effect on individual welfare. A household might be stable for many years or …change composition several times in a matter of months. Analysis of the causes and effect of such transitions is critical to much social science. Precision in measurement and development of variables based on this is therefore equally critical. This article describes the development of a new form of household enumeration for use in the British Household Panel Survey. We first briefly describe the data-collection methods tested to fix household membership, and then their value as data-processing tools. Finally, a household relationship variable derived from these new methods is included in a multivariate analysis of financial allocative arrangements within the household. This shows distinctive patterns for households containing step-children, or other non nuclear extensions. Show more
DOI: 10.3233/JEM-1995-21202
Citation: Journal of Economic and Social Measurement, vol. 21, no. 2, pp. 127-144, 1995
Authors: Li, Chun-Hao | Bagaka's, Joshua G. | Darden, Joe T.
Article Type: Research Article
Abstract: This paper examines the difference in results obtained from using Summary Tape Files 1A (STF1A) and 3A (STF3A) in measuring residential segregation. The 1A file contains data for the whole population, while the 3A file is based on estimates derived …from a sample of the 1990 census. Computation of segregation indexes for the 45 largest metropolitan areas (MSA/PMSA) in the United States, using both files, revealed large differences. The differences were found to be correlated negatively with the percentage of the minority group population in the metropolitan area. Show more
DOI: 10.3233/JEM-1995-21203
Citation: Journal of Economic and Social Measurement, vol. 21, no. 2, pp. 145-155, 1995
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