Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Purchase individual online access for 1 year to this journal.
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. | Potter, D.E.B.
Article Type: Research Article
Abstract: The National Medical Expenditure Survey (NMES) Household Survey was designed to produce national estimates of the health care utilization, expenditures, insurance coverage and source of payments for the civilian non-institutional population in 1987. The NMES Nursing Home Component of the …Institutional Population Survey was designed to produce comparable estimates for the population resident in nursing and personal care homes in 1987. Individuals who were admitted to nursing and personal care homes from the community in 1987 were dually represented in the NMES Household and Nursing and Personal Care Home Surveys. This paper presents the estimation strategy adopted in NMES to allow for population estimates of the combined population represented by these component surveys. Particular attention will be given to the derivation of per capita and total health care expenditure estimates that characterize the union of the population in the community and in institutions over the course of 1987. Limitations with respect to the estimation strategy, as a consequence of the NMES survey design are also discussed. Show more
Keywords: Institutional surveys, admissions, dual representation
DOI: 10.3233/JEM-1996-22301
Citation: Journal of Economic and Social Measurement, vol. 22, no. 3, pp. 161-179, 1996
Authors: Howrey, E. Philip
Article Type: Research Article
Abstract: Forecasts of real GNP are based on preliminary estimates of National Income and Product Accounts data which will subsequently be revised. The purpose of this paper is to estimate the decrease in forecast accuracy which results from the use of …preliminary rather than revised data. It is found that forecasts of the level of real GNP are very sensitive to data revision, but forecasts of the rate of growth of real GNP are relatively impervious to data revision. Over the period 1986–1991, the period during which real GNP was reported in constant 1982 dollars, the variance of forecast errors of the level of real GNP was four times what it would have been if the finally revised data had been available at the time the forecasts were made. The error variance of forecasts of the rate of growth of real GNP was only about 5 percent greater using preliminary data. These empirical results for the 1986–1991 period are consistent with theoretically determined error bounds for forecasts from trend stationary and difference stationary models with autoregressive disturbances. Show more
Keywords: Prediction error, measurement error, trend stationary model, difference stationary model, autoregressive forecasts
DOI: 10.3233/JEM-1996-22302
Citation: Journal of Economic and Social Measurement, vol. 22, no. 3, pp. 181-200, 1996
Authors: Fleming, Martin | Jordan, John S. | Lang, Kathleen M.
Article Type: Research Article
DOI: 10.3233/JEM-1996-22303
Citation: Journal of Economic and Social Measurement, vol. 22, no. 3, pp. 201-218, 1996
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl