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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: Streitwieser, Mary L.
Article Type: Research Article
Abstract: The Pollution Abatement Costs and Expenditures survey (PACE) is an annual survey of manufacturing establishment's operating costs and capital investment expenditures for pollution abatement purposes. This paper provides a description and evaluation of the PACE micro data available at the …Center for Economic Studies (CES). This paper provides an overview of the survey, how the sample is drawn, how the survey questionnaire has changed over time, an assessment of the data quality, and suggestions for the use of the data, as well as its limitations. This paper also discusses the advantages of using the micro data for descriptive and analytic research when integrated with economic data from the US Bureau of the Census and emissions data from the US Environmental Protection Agency. Examples of recent and analytic research are cited throughout. Show more
DOI: 10.3233/JEM-1997-23101
Citation: Journal of Economic and Social Measurement, vol. 23, no. 1, pp. 1-25, 1997
Authors: Campbell, Jr., Harrison S.
Article Type: Research Article
Abstract: This paper presents a demographic model for projecting school enrollment in a metropolitan area. A standard cohort survivorship model is disaggregated with respect to education allowing students to be ‘aged’ through the system of education according to calculated progression rates. …Education as a life event is introduced through the concept of educational survivorship. The model is applied to the Chicago region and projections for the region are compared to actual enrollment data. It is argued that the framework makes the effects of demographic structure and assumptions concerning the rate at which students flow through the system transparent, facilitating the educational planning process. Show more
DOI: 10.3233/JEM-1997-23102
Citation: Journal of Economic and Social Measurement, vol. 23, no. 1, pp. 27-42, 1997
Authors: Renfro, Charles O.
Article Type: Research Article
Abstract: This paper considers the current and prospective development of economic database systems, thematically complementing a 1980 paper by the author. First created for use with macroeconomic data, often in order to support the construction and use of econometric and other …models, these systems have been applied in this way and more broadly since the 1970s. However, during the past decade, microeconomic systems have also begun to be developed, particularly for use with longitudinal data sets. With the advent of the Internet, using next generation systems, the potential now exists for the widespread, cost and use-effective distribution of various types of economic and social data for research and other purposes. This paper examines some of the requirements for the appropriate development of these systems. It stresses the absolute need for improved data documentation and advocates the machine distribution of documented data as a standard procedure. It evaluates proposals by Kendrick and David that economic database systems should be organized according to the Relational Database Model, a computer science concept originally formulated by E.F. Codd. The appendix presents and describes the widely used TSD economic data transfer format, which permits documented inter-system time-series data transfers. Show more
Keywords: Computer, database, DBMS, economic, longitudinal, relational, statistics, temporal, time series
DOI: 10.3233/JEM-1997-23103
Citation: Journal of Economic and Social Measurement, vol. 23, no. 1, pp. 43-85, 1997
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