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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: Davern, Michael | Klerman, Jacob A. | Ziegenfuss, Jeanette | Lynch, Victoria | Greenberg, George
Article Type: Research Article
Abstract: To improve the utility of estimates of Medicaid enrollment and uninsurance from the Current Population Survey (CPS) we use linked data from the CPS and the Medicaid Statistical Information System (MSIS) to build a probabilistic imputation model that partially corrects …the public use data files for systematic under-reporting of Medicaid. We estimate the probability that a CPS survey case was enrolled in Medicaid, conditional on whether or not in the CPS the individual responded that they had Medicaid. We use the imputed data to develop adjusted estimates of Medicaid enrollment and uninsurance by demographic characteristics. The net Medicaid enrollment total using our imputation model for CY 2006 and 2007 is 41.0, compared to 34.0 million using the standard CPS variables. The resulting net adjusted uninsurance estimate is 4.5% below the unadjusted estimate. Show more
Keywords: Medicaid enrollment, MSIS, CPS-ASEC, imputation, uninsured, survey measurement error
DOI: 10.3233/JEM-2009-0324
Citation: Journal of Economic and Social Measurement, vol. 34, no. 4, pp. 219-240, 2009
Authors: Cassey, Andrew J.
Article Type: Research Article
Abstract: The Origin of Movement (OM) series is unique data documenting the destination of state exports by subsector. A datum indicates the state an export begins its journey, not the production location (OP). Newer OM data have not been examined to …determine if they represent OP. I describe the collection, dissemination, and limitations of the OM data. I perform diagnostic tests to asses how effectively the OM data represent OP. Results indicate the OM data are usable for OP, though there are idiosyncratic subsectors and states, and systematic differences distinguishing the OM from OP. Show more
Keywords: International trade, exports, states, origin of movement, origin of production
DOI: 10.3233/JEM-2009-0323
Citation: Journal of Economic and Social Measurement, vol. 34, no. 4, pp. 241-268, 2009
Authors: Wenzelburger, Georg
Article Type: Research Article
Abstract: Fiscal adjustments have been examined from different perspectives in the literature. However, the conceptual approaches to the analysis of budget consolidations vary substantially. Therefore different approaches to the analysis of fiscal adjustments are discussed in a first step. It is …shown that the choices regarding the underlying concepts lead to specific research designs and influence the appropriate empirical method. In a second step, the determinants of budget consolidations are examined empirically in four different research designs for 23 industrialised countries in the 1990s. The analysis shows that the results vary depending on the method applied. However, economic variables seem to play the most important role in explaining the consolidation performance. Show more
Keywords: Budget consolidation, measurement, fiscal adjustment
DOI: 10.3233/JEM-2009-0322
Citation: Journal of Economic and Social Measurement, vol. 34, no. 4, pp. 269-291, 2009
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