An improved measure of inter-industry pay differentials

Q3 Social Sciences Journal of Economic and Social Measurement Pub Date : 2013-01-01 DOI:10.3233/JEM-130378

M. Gittleman, B. Pierce

引用次数: 6

Abstract

The measurement of inter-industry pay differentials and the resulting use of this information to assess the empirical relevance of different labor market theories have been hampered by the fact that measures of total compensation – as opposed to just wages and salaries – are not available in the datasets traditionally used. We improve upon past measures of inter-industry pay differentials by being the first, to our knowledge, to incorporate microdata on nonwage compensation. Such compensation can easily exceed 40 to 50 percent of wages and thus its inclusion may either diminish or amplify measured industry pay differences. Using the Employer Costs for Employee Compensation (ECEC) data produced by the U.S. Bureau of Labor Statistics, we find that the inclusion of benefits increases industry dispersion by 16 percent when no controls are included and by an even greater 30 percent when controls are included.

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改进行业间薪酬差异的衡量标准

行业间薪酬差异的测量以及由此产生的利用这些信息来评估不同劳动力市场理论的经验相关性的工作受到了这样一个事实的阻碍，即在传统使用的数据集中无法获得总薪酬(而不仅仅是工资和薪水)的测量。据我们所知，我们首次将非工资薪酬的微观数据纳入其中，从而改进了过去衡量行业间薪酬差异的方法。这种补偿很容易超过工资的40%至50%，因此，将其纳入可能会缩小或扩大衡量的行业薪酬差异。利用美国劳工统计局提供的雇员补偿雇主成本(ECEC)数据，我们发现，当不包括控制措施时，福利的纳入使行业分散性增加了16%，当包括控制措施时，行业分散性增加了30%。

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来源期刊

Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)

CiteScore

1.60

自引率

0.00%

发文量

期刊介绍： 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.