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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: McCullough, B.D. | Renfro, Charles G.
Article Type: Research Article
Abstract: This paper addresses the evaluation of nonlinear methods in econometric software, taking GARCH procedures as a case study. In particular, it analyzes seven widely used packages, utilizing a recently developed benchmark. Four of the packages are found to be unsuitable, …in most cases because the developer either does not specifically indicate which of the many possible GARCH models is being estimated, or does not accommodate the most common model specified in the applied literature, or both. A principal finding is that implementation of the GARCH procedure varies so widely that two packages ostensibly doing the same thing actually may be estimating substantively different models. This lack of standardization raises several questions concerning the evaluation of software. These include the issues normally associated with the creation of benchmarks, but also the critical role that software plays, and can play, in the development of modern econometrics. Show more
DOI: 10.3233/JEM-1999-0160
Citation: Journal of Economic and Social Measurement, vol. 25, no. 2, pp. 59-71, 1998
Authors: Chiswick, Barry R. | Miller, Paul W.
Article Type: Research Article
Abstract: This paper analyzes the questions on dominant languages and minority languages included in the 1990 U.S. Census and the 1991 Canadian Census. These questions have served as the basis of much research on the determinants and socioeconomic consequences of language …usage and proficiency among immigrants and linguistic minorities. The questions and coding procedures for both countries are presented and discussed. The socioeconomic correlates of the language variables are discussed for both countries, indicating the strengths and weaknesses of the various language questions for policy analysis. An alternative set of language questions that would enhance the quality of social science research on the determinants and consequences of language proficiency is presented and evaluated. Show more
DOI: 10.3233/JEM-1999-0161
Citation: Journal of Economic and Social Measurement, vol. 25, no. 2, pp. 73-95, 1998
Authors: Bassi, Francesca
Article Type: Research Article
Abstract: The paper focuses on one of the main longitudinal surveys conducted by the US Bureau of the Census, the Survey of Income and Program Participation (SIPP); specifically it regards the problem of estimating gross flows in the labour market when …data are affected by classification errors. Some data analysis presented in the paper show that typical sources of errors in longitudinal data, like time-in-sample effect, do not affect SIPP observed gross flows dramatically. The so-called seam effect dominates on other phenomena that potentially bias gross flows observed by means of longitudinal surveys. On the basis of this evidence, a strategy to correct labour force flows observed with SIPP from classification errors is proposed. The strategy is an ad hoc specification of latent class analysis. Show more
DOI: 10.3233/JEM-1999-0162
Citation: Journal of Economic and Social Measurement, vol. 25, no. 2, pp. 97-110, 1998
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