Journal of Economic and Social Measurement - Volume 21, issue 4
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ISSN 0747-9662 (P)
ISSN 1875-8932 (E)
The 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.
Abstract: The Human Development Report published annually by the United Nations Development Programme (UNDP) computes for each country a Human Development Index (HDI). The HDI is a composite index constructed from measures of life expectancy, education, and per-capita income. This paper…argues that the UNDP's method of estimating the contribution of per-capita income to human development is inappropriate and leads to misleading country HDI rankings. For countries below the world-average per-capita income, the UNDP's estimation formula allows per-capita income to make a large contribution to development, as measured by each country's HDI. But for countries above the world-average per-capita income, their higher incomes are effectively estimated to make no additional contribution to their human development, as measured by HDI. An alternative treatment of income is illustrated. The consequent modified HDIs result in an appreciable alteration of the country rankings.
Abstract: A significant amount of survey resources are allocated to obtaining the participation of households that constitute the last ten percent of the survey response rate. Often, a substantial representation of these households were initial refusals to the survey. This paper…is directed to an analysis of the factors that distinguished those households that required special efforts to obtain their participation in the National Medical Expenditure Survey. The quality of the data obtained from these reluctant respondents is examined, in addition to assessing the likelihood of achieving their cooperation for all required rounds of data collection. The results have significant design implications for future medical expenditure surveys.