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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: Cohen, Steven B.
Article Type: Research Article
DOI: 10.3233/JEM-1991-17201
Citation: Journal of Economic and Social Measurement, vol. 17, no. 2, pp. 57-67, 1991
Authors: Schiller, Bradley R. | Kroetch, Brent G. | Flacco, Paul R.
Article Type: Research Article
Abstract: This paper examines the influence of economic factors on re-enlistment decisions in the U.S. Navy. The effect of civilian wage opportunities on re-enlistment behavior is of particular interest. The study employs a unique longitudinal data base to track the actual civilian …employment experiences of Navy personnel who enlisted between 1973–77. The data base was created by merging the records of the Defense Military Data Center and the U.S. Social Security Administration. This data base is used to estimate the opportunity costs of re-enlisting and these estimates are then used in the two-step regression procedure to predict re-enlistment behavior. Show more
DOI: 10.3233/JEM-1991-17202
Citation: Journal of Economic and Social Measurement, vol. 17, no. 2, pp. 69-85, 1991
Authors: Maguire, Bryan T.
Article Type: Research Article
Abstract: Mail questionnaires are widely used by researchers interested in a variety behavioural and psychological attributes of health professionals. A central concern surrounding this method of data collection is the response rate and its effect on the accuracy of the data …obtained. Several studies are reviewed which suggest that low response rates may not necessarily imply biased data. Nevertheless high response rates are desirable and a variety of techniques to stimulate response have been proposed and tested. Those which personalise the invitation to respond and convey the importance of the research project whether through financial inducements or endorsements have been found effective. The most important strategy in most circumstances though is the use of repeat mailings. Show more
DOI: 10.3233/JEM-1991-17203
Citation: Journal of Economic and Social Measurement, vol. 17, no. 2, pp. 87-99, 1991
Authors: Megbolugbe, Isaac F.
Article Type: Research Article
Abstract: Hedonic measurement of housing quality is normally based on a wide range of data including information on structural, neighborhood, and geographic attributes of the housing stock. Readily accessible tax assessment database across many U.S. communities typically contain limited data on …housing structural attributes. It is always very expensive to augment such variables with additional data on housing neighborhood and location. Consequently, hedonic estimation of quality based on these limited data perennially suffers specification bias. Because few hedonic variables are capable of proxying the statistical influence of omitted ones, there is really no need for more expensive data that some analysts insist are necessary for proper use of hedonic index to make housing quality judgments. This makes tax records a valuable source of information for hedonic estimation. Show more
DOI: 10.3233/JEM-1991-17204
Citation: Journal of Economic and Social Measurement, vol. 17, no. 2, pp. 101-114, 1991
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