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Journal of Economic and Social Measurement - Volume 46, issue 2

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Price: EUR 125.00
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.

Assessing the potential for nonresponse bias and measurement concordance in the clinical preventive services self-administered questionnaire survey

Authors: Muhuri, Pradip K.

Article Type: Research Article

Abstract: Health survey statistics are essential for setting national targets, monitoring population-level trends, and tracking progress in adults’ utilization of preventive health services. However, survey estimates can be subject to nonresponse bias. This paper primarily assesses the potential for nonresponse bias in six utilization estimates from the Clinical Preventive Services Self-Administered Questionnaire (PSAQ) survey. The article highlights several findings. First, the eligible PSAQ sample person’s selective nonresponse associated with influenza vaccinations and blood pressure check-ups reported in the Medical Expenditure Panel Survey provides indirect evidence of overestimating the utilization of those services in the PSAQ survey. Second, the study found a … Show more

Keywords: Preventive service utilization, nonresponse bias, concordance, modes of data collection

DOI: 10.3233/JEM-220483

Citation: Journal of Economic and Social Measurement, vol. 46, no. 2, pp. 61-93, 2022

Price: EUR 27.50

Digitizing hand-written data with automated methods: A pilot project using the 1990 U.S. Census

Authors: Alexander, J. Trent | Fisher, Jonathan D. | Genadek, Katie R.

Article Type: Research Article

Abstract: While the U.S. Census Bureau has microdata files from the 1960 through 1990 Decennial Censuses, respondent names were never digitized. Names from these censuses are only available in handwritten form on microfilm images of the original census manuscripts. In this paper, we document the 1990 Census Name Recovery Pilot (NRP) project, which was used to identify the most accurate and cost-effective means to recover respondent names, focusing on the example of the 1990 Census. In addition to describing the four stages of the project, the results of the NRP are presented in detail. The NRP showed that respondent names can … Show more

Keywords: Census data, handwriting recognition, data capture

DOI: 10.3233/JEM-220484

Citation: Journal of Economic and Social Measurement, vol. 46, no. 2, pp. 95-108, 2022

Price: EUR 27.50

Revisiting taste change in cost-of-living measurement

Authors: Martin, Robert S.

Article Type: Research Article

Abstract: This paper compares conditional and unconditional cost-of-living indexes (COLI) when tastes change, focusing on the Constant Elasticity of Substitution model. A consumer price index typically targets a conditional COLI, which evaluates price change given set of preferences. An unconditional COLI aims to also capture the welfare effects of changing tastes, but it requires stronger assumptions. Using retail scanner data for food and beverage products, I find COLIs conditioning on current period tastes exceed those conditioning on prior period tastes. Consistent with previous studies, I find an unconditional COLI tends to reflect negative direct contributions from taste change.

Keywords: Cost of living index, price index, taste change

DOI: 10.3233/JEM-220485

Citation: Journal of Economic and Social Measurement, vol. 46, no. 2, pp. 109-147, 2022

Price: EUR 27.50
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