Journal of Economic and Social Measurement - Volume 41, 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: This paper presents results from a survey of Norwegian firms on their perception of expected economic service life of various fixed capital assets as well as their assessment of depreciation profiles. An econometric analysis for two types of capital assets, where second hand markets and prices are available, shows that expected service life for Machinery and equipment for mining and manufacturing is estimated to be between 9 and 10 years. For Tools, instruments, furnishings etc. the expected service life is estimated to be 8 years. These results are in line with a descriptive analysis of the survey and they are…also quite similar to those found in the existing literature. Results from this study have been used in a revision of the Norwegian national accounts.
Keywords: Depreciation, capital stock, service lives, survey
Abstract: With data for Portugal we propose an index of housing comfort based on the Household Budget Survey. This index covers housing and durable goods grouped in two dimensions: basic comfort and complementary comfort. Taking this index as starting point we make two contributions. First we quantify the phenomena of poverty, richness, and inequality in housing comfort. Second, using an ordered probit model, we evaluate the determinants of housing comfort in Portugal. The results show significant rates of poverty (12.41%) and richness (22.03%). The evidence sustains that the differences between households derive mainly from complementary comfort and to a lesser extent…from basic comfort items. Inequality in housing comfort, measured by the Gini coefficient, stands at 0.1263. The econometric study reveals that the region of residence of the household and the educational level and labor market state of the household reference person are among the most critical determinant factors of housing comfort.
Abstract: The European Union Statistics on Income and Living Conditions (EU-SILC) is a rotational panel provided by Eurostat that covers variables with a high potential for comparative European labor market and social research. Unfortunately, its current availability limits its potential research applications. This research note describes these shortcomings of the current data provision. Furthermore, we make two contributions for a better exploitation of these data sets: First, we develop a method for combining the different waves in order to increase the number of usable observations; and second, we indicate how monthly data on income and hourly pay can be derived.
Keywords: EU-SILC, sampling weights, income, Europe, data quality, panel data
Abstract: Recent changes in the provision and organization of health care initiated by the Affordable Care Act have led to concerns about how these changes interact with the medical provider organizational characteristics to affect access, use, and expenditures for care. To examine the impact on individuals' use of care and costs, linked information is needed on both the characteristics of the medical providers' organizations and the individuals receiving care. There is currently no nationally representative data source that provides this essential information. Consequently, a Medical Organizations Survey (MOS) has been added as a component of the Medical Expenditure Panel Survey (MEPS)…to address this limitation. The MEPS-MOS will obtain essential data on provider organizational characteristics, policies, and treatment protocols for a nationally representative sample of physicians providing care to MEPS participants. This paper describes the survey and sample design of the MEPS-MOS, survey content and precision targets and its analytical focus. This addition will substantially enhance the analytic capacity of the MEPS by facilitating assessments of how provider organizational structures and policies impact on health care utilization and expenditures, health status, patient safety and the health outcomes of individuals.
Keywords: Physician survey, medical organizations, MEPS