You are viewing a javascript disabled version of the site. Please enable Javascript for this site to function properly.
Go to headerGo to navigationGo to searchGo to contentsGo to footer
In content section. Select this link to jump to navigation

Journal of Economic and Social Measurement - Volume 42, issue 1

Purchase individual online access for 1 year to this journal.

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.

The management and organizational practices survey (MOPS): An overview 1

Authors: Buffington, Catherine | Foster, Lucia | Jarmin, Ron | Ohlmacher, Scott

Article Type: Research Article

Abstract: This paper describes the Management and Organizational Practices Survey (MOPS), conducted by the U.S. Census Bureau in 2010 and 2015. The 2010 survey was the first-ever large scale survey of management practices in the United States. Enhancements for the 2015 survey include questions on two topics related to management: data and decision making (DDD) and uncertainty. This paper provides an overview of the existing literature on the role of management and organizational practices in firm performance, focusing on earlier efforts to measure these practices using survey data. The paper then describes the content and methodology of the MOPS.

Keywords: Methodology for collecting microeconomic data, firm organization, manufacturing, personnel economics, innovation, data driven decision making, uncertainty

DOI: 10.3233/JEM-170441

Citation: Journal of Economic and Social Measurement, vol. 42, no. 1, pp. 1-26, 2017

Price: EUR 27.50

Indicators of product sophistication and factor intensities: Measurement matters

Authors: Huber, Stephan

Article Type: Research Article

Abstract: The widely used PRODY indicator by Hausmann et al. [1 ] [What you Export Matters; Journal of Economic Growth: 12, 1–25] allows the calculation of product sophistication and factor intensities at high levels of disaggregation. In this paper I deal with its measurement, its conceptional limitations, its sensitivity to subjective decision making, its alternatives, and how to reap the best possible benefit from its usage. I introduce a theory-based alternative and investigate the sensitivity of empirical results with respect to different measurements. In particular, I re-estimate the main results of Hausmann et al. [1 ] with 75 variants of measurement. Small changes … Show more

Keywords: Product sophistication, PRODY, EXPY, factor intensities, disaggregated bilateral trade, economic development

DOI: 10.3233/JEM-170440

Citation: Journal of Economic and Social Measurement, vol. 42, no. 1, pp. 27-65, 2017

Price: EUR 27.50

Imputing consumption from Norwegian income and wealth registry data

Authors: Fagereng, Andreas | Halvorsen, Elin

Article Type: Research Article

Abstract: This paper proposes a method for computing a unique longitudinal consumption measure for the total population of Norwegian households from administrative records, covering a period of almost 20 years. Administrative data has the advantage of full population coverage, avoiding problems with attrition or underrepresentation of high-income households. This is particularly useful for improving the measurement of heterogeneity in consumption behavior, and for measuring consumption distribution and inequality. Furthermore, longitudinal micro data with full population coverage provides unique opportunities to explore the underlying developments in aggregate consumption measures over time.

Keywords: Consumption measurement, savings, household finance JEL codes: D12, D14, D31, E21, G11

DOI: 10.3233/JEM-170438

Citation: Journal of Economic and Social Measurement, vol. 42, no. 1, pp. 67-100, 2017

Price: EUR 27.50
Show more