Poverty, richness, and inequality: Evidence for Portugal using a housing comfort index

Q3 Social Sciences Journal of Economic and Social Measurement Pub Date : 2017-02-23 DOI:10.3233/JEM-170437

Cristina da Felicidade Loureiro Fernandes, N. Crespo, Nádia Simões

引用次数: 4

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.

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贫困、富裕和不平等:使用住房舒适指数为葡萄牙提供证据

根据葡萄牙的数据，我们提出了一个基于家庭预算调查的住房舒适度指数。该指数涵盖住房和耐用品，分为两个方面:基本舒适和互补舒适。以这个指标为出发点，我们做了两个贡献。首先，我们量化了住房舒适度方面的贫困、富裕和不平等现象。其次，使用有序概率模型，我们评估了葡萄牙住房舒适度的决定因素。结果显示贫困率(12.41%)和富庶率(22.03%)显著。有证据表明，家庭之间的差异主要来自于互补的舒适，其次来自于基本的舒适项目。以基尼系数衡量的住房舒适度不平等为0.1263。计量经济学研究表明，家庭居住地区和家庭参考人的教育水平和劳动力市场状况是住房舒适度的最关键决定因素。

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 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.