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: Westaway, A.J. | Fleming, M.C.
Article Type: Research Article
Abstract: Two aspects of the methodology for constructing index numbers of average earnings are investigated using data for the UK. Although trends in average earnings reflect changes in both industrial structure and the composition of the labour force, it is common …to compute indices which ignore compositional changes other than those at the industrial level (as in the UK). First, this article examines the effect of standardising at both levels using UK data for the period 1971–92. Secondly, it considers the practical significance of using alternative index number formulae which possess certain desirable properties. It is concluded that the official series is subject to unnecessary error components which result in a non-negligible upward bias. Show more
DOI: 10.3233/JEM-1995-21301
Citation: Journal of Economic and Social Measurement, vol. 21, no. 3, pp. 163-185, 1995
Authors: Carlson, Barbara Lepidus | Kemper, Peter | Murtaugh, Christopher M.
Article Type: Research Article
Abstract: This paper describes the methodology used in selecting and reweighting discharge level data from the 1985 National Nursing Home Survey so that it represents a sample of decedents who used nursing homes sometime during their lives. Such a strategy allows …for the analysis of lifetime nursing home use and financing with a level of information that previously was not available. Adjustments to the existing weight included those for unit nonresponse, multiple probabilities of selection, and differential follow-up periods, as well as a ratio adjustment to bring the distribution of nursing home users with and without use in the last year of life in line with an external distribution from the 1986 National Mortality Followback Survey. A comparison of weighted estimates is made between the reweighted Nursing Home Survey data and the Mortality Followback data. Show more
DOI: 10.3233/JEM-1995-21302
Citation: Journal of Economic and Social Measurement, vol. 21, no. 3, pp. 187-211, 1995
Authors: Devine, Theresa J.
Article Type: Research Article
Abstract: This paper examines several problems that one faces when using self-employment earnings data from the Annual Demographic Files for the 1976–91 March CPS, including: (i) variation in earnings definitions across different classes of workers (wage-and-salary, unincorporated self-employed, and incorporated …self-employed workers), (ii) changes in earnings definitions between years, (iii) relatively high nonresponse rates for the self-employed (about 30 percent, versus 17–19 percent for wage-and-salary workers), and (iv) inaccurate coding of earnings imputation flags in the public use files. In short, the evidence presented here suggests that how one handles each of these problems can have a significant effect on estimates of the returns to time spent self-employed. The author thanks John Coder, Enrique Lamas, Chuck Nelson, and Ed Welnaik for their willingness to answer her long list of questions about Census procedures, and Joyce Mlakar, John Morgan, and Amy Pavelko for their help in sorting out the tax code. Support from the Census Research Fellow Program and the National Science Foundation (SES 90–23–776 and SES 90–103–07) is gratefully acknowledged. Show more
DOI: 10.3233/JEM-1995-21303
Citation: Journal of Economic and Social Measurement, vol. 21, no. 3, pp. 213-251, 1995
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