This paper overviews the role of slums in urban Africa, focusing on Nairobi. It reveals the characteristics of slums and how these have changed over time. Spatially disaggregated data show that slum areas are very dense with poor-quality buildings, lacking access to key services such as sewage disposal and electricity. However, improvements to building quality, public-service provision, and socioeconomic characteristics are mostly outpacing those seen in the formal sector. Measures such as child health and school attendance have caught up or are on pace to catch up in the near future with the formal sector, while improvements in building quality and service provision are advancing more slowly. We find significant heterogeneity across the city, and in particular that central slums look to be 'stuck' with low-quality buildings and poor service provision, though not with low socioeconomic indicators. We explore potential explanations for why slums located on highly prized land near the centre may be stuck with poor infrastructure.
Thanks to recent data availability, digitized transcriptions of Victorian censuses provide unprecedented historical big data on individuals in the past, but also with new methodological challenges like the classification of otherwise underreported entrepreneurs among a population sample of millions of individuals. This paper presents a methodological solution to accomplish the task of classifying entrepreneurs. We apply machine learning, including deep learning, to outperform a standard logistic regression algorithm. Our methodological developments traverse traditional disciplinary lines using state-of-the-art artificial intelligence methods. The main conclusion of the paper is that significant gains in performance can be achieved with historical archive data through machine learning to test economic theories on historical entrepreneurship. This suggests applicability to other disciplines in information sciences.
Purpose. Gestational surrogacy (GS) has been researched in multiple qualitative studies. In sharp contrast, quantitative aspects of the practice are conspicuously understudied. The present article aims to assess and compare the incidence of GS in the USA and Israel, two industrialized countries that have maintained active, formally regulated surrogacy practice, for over two decades. Method. The article is a secondary analysis of official GS figures published by the USA and Israel. Each dataset is analyzed vis-à-vis the respective country's population, adult population and number of deliveries and infants born, so as to devise local Incidence Scores. These scores are the basis for an inter-country comparison. Results. The incidence of GS is rising in both countries. Though USA surrogates are contracted by both local and international, heterosexual and gay, partnered and single intended parents, the relative incidence of GS is lower in the USA than in Israel, at a ratio of 2:3, even though in Israel only local heterosexual couples and single women may contract a gestational surrogate. Conclusion. GS emerges as reflective of its social surrounding, with the ratios between the countries' GS incidence resembling the ratios between their respective fertility rates. The paper ends with considering two risks facing gestational surrogates: the risk of not conceiving and not being paid, which is the outcome of most GS cycles, and the risk of carrying a multiple pregnancy, which is extremely prevalent in GS pregnancies, and sustaining the short-and longterm health consequences that are likely to accompany it.
The full population of England and Wales employers and own-account business proprietors is estimated using population censuses 1851-1911. The main contribution of the article is a method of mixed single imputation to overcome the challenge of non-responses to the census 1851-1881. This method is compared with alternatives. Downloads of all data allow replication. The method is used to track trends in proprietor numbers and entrepreneurship rates to reassess the 'decline of Victorian entrepreneurship' , onset of the 'U'-shaped trough of the twentieth century, the 'climacteric' of 1901, and compositional changes by sector and sex. There is strong sector and gender diversity, with changes in female participation major drivers of overall trends. Proprietor numbers show slow increases of employers, and rapid rise and then decline of own-account, with a turning point after 1901. The methodology and turning point is compared and confirmed against the 1921 census and national and local trade directories.
This article offers a new perspective on what it meant to be a business proprietor in Victorian Britain. Based on individual census records, it provides an overview of the full population of female business proprietors in England and Wales between 1851 and 1911. These census data show that around 30% of the total business population was female, a considerably higher estimate than the current literature suggests. Female entrepreneurship was not a uniform experience. Certain demographics clustered in specific trades and within those sectors employers and own-account proprietors had strikingly different age, marital status and household profiles. A woman's life cycle event such as marriage, motherhood and widowhood played an important role in her decision whether to work, the work available to her and the entrepreneurial choices she could make. While marriage and motherhood removed women from the labour force, they had less of an effect on their levels of entrepreneurship. Women who had young children were more entrepreneurial than those who had none, and entrepreneurship rates rose with the arrival of one child and continued to rise the more children were added to the family.
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