The economics of trafficking for sexual exploitation

International human trafficking of women for commercial sexual exploitation (henceforth trafficking) is an economic activity in which organizations try to make profits. Trafficking has been identified as a form of modern-day slavery and is a worldwide problem which has grown rapidly in the last decades. Despite this, the economics literature on trafficking is small, which is somewhat surprising given that the economics of immigration as well as the economics of crime are both large areas of research. We review the existing economics literature on trafficking with a particular focus on the gaps in this literature. We also describe the datasets that have been and can be used in studying trafficking and we point to future areas of research. We believe that economists have a lot to contribute to the knowledge of the determinants of trafficking and, as more and improved data becomes readily available, the possibilities for credible quantitative research in this area will grow

Droughts and gender bias in infant mortality in Sub-Saharan Africa

Are African girls more exposed than boys to risk of infant mortality during crises and if so, is the difference due to discrimination? To answer these questions, we combine retrospective fertility data on over 1.5 million births from Demographic and Health Surveys with data on rainfall variability and find a substantial gender difference favouring boys following droughts. We substantiate that this difference has social determinants by showing that the difference is only present in contexts in which we would expect discrimination of daughters. The difference is only present in communities with strong preferences for sons and in areas where fertility desires are low. In areas with low levels of female employment there is a large gender gap following droughts, especially for infants with mothers who are not working. In contrast, there is no gender difference in infant mortality after droughts in areas where many women work, irrespective of the employment status of the individual mother under consideration. No difference is found across mothers with different levels of education, perhaps due to the lower fertility preferences of more educated women. In total, the results indicate a large and socially founded gender bias in infant mortality after crises. They also shed light on factors behind the African exceptionalism of little gender discrimination in infant mortality. As communities with strong son preferences, low fertility preferences, and low female employment display gender bias after crises in Africa, the results are consistent with factors explaining differences in gender biases between countries across the world

Cross-national and multilevel correlates of partner violence:an analysis of data from population-based surveys

Background On average, intimate partner violence aff ects nearly one in three women worldwide within their lifetime. But the distribution of partner violence is highly uneven, with a prevalence of less than 4% in the past 12 months in many high-income countries compared with at least 40% in some low-income settings. Little is known about the factors that drive the geographical distribution of partner violence or how macro-level factors might combine with individual-level factors to aff ect individual women’s risk of intimate partner violence. We aimed to assess the role that women’s status and other gender-related factors might have in defi ning levels of partner violence among settings. Methods We compiled data for the 12 month prevalence of partner violence from 66 surveys (88 survey years) from 44 countries, representing 481 205 women between Jan 1, 2000, and Apr 17, 2013. Only surveys with comparable questions and state-of-the-art methods to ensure safety and encourage violence disclosure were used. With linear and quantile regression, we examined associations between macro-level measures of socioeconomic development, women’s status, gender inequality, and gender-related norms and the prevalence of current partner violence at a population level. Multilevel modelling and tests for interaction were used to explore whether and how macro-level factors aff ect individual-level risk. The outcome for this analysis was the population prevalence of current partner violence, defi ned as the percentage of ever-partnered women (excluding widows without a current partner), aged from 15 years to 49 years who were victims of at least one act of physical or sexual violence within the past 12 months. Findings Gender-related factors at the national and subnational level help to predict the population prevalence of physical and sexual partner violence within the past 12 months. Especially predictive of the geographical distribution of partner violence are norms related to male authority over female behaviour (0·102, p<0·0001), norms justifying wife beating (0·263, p<0·0001), and the extent to which law and practice disadvantage women compared with men in access to land, property, and other productive resources (0·271, p<0·0001). The strong negative association between current partner violence and gross domestic product (GDP) per person (–0·055, p=0·0009) becomes non-signifi cant in the presence of norm-related measures (–0·015, p=0·472), suggesting that GDP per person is a marker for social transformations that accompany economic growth and is unlikely to be causally related to levels of partner violence. We document several cross-level eff ects, including that a girl’s education is more strongly associated with reduced risk of partner violence in countries where wife abuse is normative than where it is not. Likewise, partner violence is less prevalent in countries with a high proportion of women in the formal work force, but working for cash increases a woman’s risk in countries where few women work. Interpretation Our fi ndings suggest that policy makers could reduce violence by eliminating gender bias in ownership rights and addressing norms that justify wife beating and male control of female behaviour. Prevention planners should place greater emphasis on policy reforms at the macro-level and take cross-level eff ects into account when designing interventions

Racing to the bottom? Chinese development projects and trade union involvement in Africa

Chinese firms operating in Africa are often accused of violating international labour standards and not adhering with national labour laws. Considering China’s tendency to maintain control over development projects throughout the entire implementation phase, using Chinese contractors for work performed in the recipient countries, the present paper investigates whether China impacts African labour practices in their capacity as a donor. Specifically, we use a new data material allowing for systematic quantitative analysis of Chinese development finance to investigate whether Chinese development projects affect trade union involvement. Matching geo-referenced data on the subnational allocation of Chinese development projects to Africa over the 2000-2012 period with 41,902 survey respondents across 18 African countries, our estimation strategy relies on comparing the trade union involvement of individuals who live near a site where a Chinese project is being implemented at the time of the interview to those of individuals living near a site where a Chinese project will appear in the future, but where implementation had yet to be initiated at the time of the survey. The results consistently indicate that Chinese development projects – unlike the projects of other major donors – discourage trade union involvement in the local area.JEL: D71, F35, O10, O5

Poverty in China seen from outer space

Estimates of poverty are highly sensitive to price and income measures across time and space. This paper offers a complementary approach to traditional poverty measurement that ensures comparability: we use nighttime light as a proxy for poverty measurement. We measure the percentage of populated areas in China with no nighttime light, and the percentage of the population living in these areas.Between 1992 and 2005, both measures reveal a steady decrease in poverty in China. From 2005 to 2010, however, we find no evidence of a significant poverty reduction

Hvordan identifisere årsakssammenhenger i ikke-eksperimentelle data? En ikke-teknisk introduksjon

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Mining and local corruption in Africa

We investigate whether mining affects local-level corruption in Africa. Several cross-country analyses report that natural resource production and wealth have adverse effects on political institutions, for instance by increasing corruption, whereas other country-level studies show no evidence of such "political resource curses". These studies face well-known endogeneity and other methodological issues, and employing alternative designs and micro-level data would allow for drawing stronger inferences. Hence, we connect 90,000 survey respondents in four Afrobarometer survey waves to spatial data on about 500 industrial mines. Using a difference-in-differences strategy, we find evidence that mining increases bribe payments. Mines are initially located in less corrupt areas, but mining areas turn more corrupt after mines open and actively produce. A closer study of South Africa - using even more precise spatial matching of mines and survey respondents - corroborates the continent-wide results. Hence, mineral production is, indeed, a "curse" to local institution

Exposure to Female Colleagues Breaks the Glass Ceiling - Evidence from a Combined Vignette and Field Experiment

Increased diversity in the workforce can lead to either more or less discrimination. We study discrimination among recruits in the Norwegian Armed Forces during boot camp. In a vignette experiment female candidates are perceived as less suited to be squad leaders than their identical male counterparts. Adding positive information leads to higher evaluations of the candidates, but does not reduce the amount of discrimination. The boot camp provides an ideal setting for studying inter-group contact. We find that intense collaborative exposure to female colleagues reduces discriminatory attitudes: Male soldiers who were randomly assigned to share room and work in a squad with female soldiers during the recruit period do not discriminate in the vignette experiment

Ancestry culture, assimilation, and voter turnout in two generations

Women vote less than men in many parts of the world. Whether this gender gap is due to cultural preferences stemming from traditional gender norms or to structural constraints is hard to answer because preferences and beliefs are endogenous to the socioeconomic and institutional environment. To address this problem, we use the so-called epidemiological approach. This approach exploits the portability of culture as a source of identifcation, by comparing migrants from diferent cultures of origin but living in similar institutional environments. We study the gender patterns in turnout of immigrants and their children in Norway using administrative register data on voter turnout. We fnd that gender traditionalism at country of origin is signifcantly correlated with the gender gap in the frst generation, but has no efect in the second generation. Together, our results suggest that early institutional exposureis important for political assimilation.Open Access funding provided by NTNU Norwegian University of Science and Technology (incl St. Olavs Hospital - Trondheim University Hospital). Funding from the Norwegian Research Council Grant Number 270772 is acknowledged