Estimating vacancies from firms’ hiring behavior: The case of a developing economy

Q3 Social Sciences Journal of Economic and Social Measurement Pub Date : 2021-02-05 DOI:10.3233/JEM-210473
L. Morales, José Lobo
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引用次数: 2

Abstract

We propose a procedure that allows recovering an estimate of vacancies from firms’ information on hires and separations. Using estimated vacancies, we analyze the aggregated behavior of vacancies for the Colombian labor market. In addition, we estimate matching functions to conclude that the matching formation process for the Colombian labor market is random; this finding support the idea that frictions are mainly due to informational restrictions, and not explained by a structural mismatch. Our method might be useful in developing economies, where there are no good official sources of information on the matter.
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从公司招聘行为估计职位空缺:以发展中经济体为例
我们提出了一个程序,允许从公司的雇用和离职信息中恢复空缺的估计。利用估计的空缺,我们分析了哥伦比亚劳动力市场空缺的总体行为。此外,我们估计了匹配函数,得出哥伦比亚劳动力市场的匹配形成过程是随机的;这一发现支持了摩擦主要是由于信息限制,而不是由结构不匹配来解释的观点。我们的方法可能对发展中经济体有用,因为那里没有关于这一问题的良好官方信息来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Economic and Social Measurement
Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)
CiteScore
1.60
自引率
0.00%
发文量
4
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.
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