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The number of young people is reaching unprecedented levels in most developing countries. In many countries, especially in East Asia and Latin America, youth populations are at or near their peak, and will decline in coming decades. In other countries, especially in Africa and South Asia, youth populations will continue growing for several decades. From an economic perspective, absolute numbers may be less important than the growth rate or relative size of youth cohorts. Growth rates and the ratio of youth to working-age population reached a peak in the 1970s or 1980s in most developing countries. The worst economic pressures of youth demography may have already occurred in many countries, although significant pressure will continue in Africa and South Asia.

Changes In Fertility --- Demographic Changes --- Developing Countries --- Economic Change --- Economic Implications --- Family Resources --- Health, Nutrition and Population --- Labor Market --- Lam --- Policy --- Policy Research --- Policy Research Working Paper --- Population --- Population Estimates --- Population Policies --- Population Projections --- Population Studies --- Progress --- Rate Of Growth --- United Nations Population Division --- World Population --- Young People --- Youth and Government

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'Labour Markets in Low-Income Countries' addresses some of the most important issues affecting labour markets in low-income countries. It builds heavily on the new research evidence that has been provided by the programme on Growth and Labour Markets in Low-Income Countries (GLM LIC), which was created as a partnership between UK Department for International Development (now part of the Foreign, Commonwealth, and Development Office) and the German IZA- Institute of Labor Economics in 2011. Across nine chapters dealing with different aspects of labour markets in developing countries, David Lam and Ahmed Elsayed provide lessons about what kinds of labour market programmes and policies can make a difference. Some of these lessons are about the difficulties that many well-intentioned programmes face when they are implemented.

Labor market --- Economic development --- Employees --- Market, Labor --- Supply and demand for labor --- Markets --- Supply and demand --- Developing countries. --- Emerging nations --- Fourth World --- Global South --- LDC's --- Least developed countries --- Less developed countries --- Newly industrialized countries --- Newly industrializing countries --- NICs --- Third World --- Underdeveloped areas --- Underdeveloped countries

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Applied arts. Arts and crafts --- pearl [animal material] --- juweelkunst

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Spousal characteristics such as age, height, and earnings are often used to infer social preferences. For example, a "male taller" norm has been inferred from the fact that fewer wives are taller than their husbands than would occur with random matching. The large proportion of husbands out-earning their wives has been cited as evidence for a "male breadwinner" norm. We show that it can be misleading to infer social preferences about an attribute from observed marital sorting on that attribute. We show that positive assortative matching on an attribute is consistent with a variety of underlying preferences. Given gender gaps in height and earnings, positive sorting implies it will be rare for women to be taller or richer than their husbands--even without an underlying preference for shorter or lower-earning wives. Simulations which sort couples positively on permanent earnings can largely replicate the observed distribution of spousal earnings differences in US Census data. Further, we show that an apparent sharp drop in the distribution function at the point where the wife out-earns the husband results from a mass of couples earning identical incomes, a mass which we argue is not evidence of a norm for higher-earning husbands.

Zonder onderwerpscode: economie