The migrant selection literature concentrates primarily on spatial patterns. We integrate two workhorses of the labor literature, the Roy and search models, to illustrate the implications of migration duration for patterns of selection. Theory and empirics show that temporary migrants are intermediately selected on education, with weaker selection on cognitive ability. Longer migration episodes lead to stronger positive selection on both education and ability because the associated jobs involve finer employee-employer matching and offer greater returns to experience. Networks are more valuable for permanent migration, where search costs are higher. Labor market frictions explain observed complex network-skill interactions. When considering migrant selection, the economics literature has largely focused on patterns by area of origin. However, the duration of migration episodes–temporary versus permanent–is another important determinant of selection. We integrate two workhorses of the labor literature, the Roy model and a search model, to illustrate the implications of migration duration for patterns of self-selection. We provide theoretical and empirical evidence showing that, because short-term migration episodes have less scope for skill-based matching and greater need for screening, temporary migrants are more likely to display intermediate selection on education, with weaker selection on underlying cognitive ability. Longer term migration episodes, in contrast, allow for finer employee-employer matching and greater returns to experience, leading to stronger positive selection on both education and cognitive ability among permanent migrants. Networks are also found to be more valuable for permanent migration, where search costs tend to be higher. However, we also provide evidence of complex network-skill interactions, driven primarily by labor market frictions.

"The magnitudes, nature, causes, and consequences of population movements between rural and urban sectors of developing countries are examined. The prior literature is reviewed, proving limited in key dimensions. Evidence is presented from a new database encompassing nationally representative data on seventy-five developing countries. Several measures of migration propensities are derived for the separate countries. The situation in each country is documented, both in historical context and following the time of enumeration. Rural-urban migrants enjoy major gains; those who do not move forego substantial, potential gains. Barriers to migrating are very real for disadvantaged groups. Migration among ethnolinguistic communities is a pervasive theme; the context in which each group lives is detailed. Upward mobility in incomes in towns is affirmed, and the departure of adults from rural homes raises living standards of the family left behind but consequent separation of married couples is endemic to particular societies. Reclassification of rural areas as urban is shown to be more important than net rural-urban moves in incremental urbanization and rural-urban moves are less permanent than normally portrayed. A contention of symmetry between rural-urban and urban-rural migration propensities is rejected and indications that these twin movements result in sorting of labor by skills is not supported. Moreover, step and onward migration are not as common as popularly claimed. Previously neglected topics studied include autonomous migration by women, child migration, and networks at origin. Policies to limit rural-urban migration are questioned, rather planning for managed urban growth is vital as climate change continues. Key words: Rural, urban, migration, development, literature, database, reclassification, sorting, policies"--

In this ambitious study, Anna K. Boucher and Justin Gest present a unique analysis of immigration governance across thirty countries. Relying on a database of immigration demographics in the world's most important destinations, they present a novel taxonomy and an analysis of what drives different approaches to immigration policy over space and time. In an era defined by inequality, populism, and fears of international terrorism, they find that governments are converging toward a 'Market Model' that seeks immigrants for short-term labor with fewer outlets to citizenship - an approach that resembles the increasingly contingent nature of labor markets worldwide.

This report analyses PIM’s 391 peer-reviewed 2018 and 20191 publications. We highlight key gender findings and discuss the challenges faced by researchers in doing gender analysis, with a view to documenting lessons learned and improving practices. It is hoped that the gaps and strengths identified in this report will be useful inputs for future research under PIM and One CGIAR.

The fertilizer industry in Pakistan, with US$3.74 billion per year in sales, now stands at a crossroads where, after an initial substantial contribution in boosting crop productivity, its future potential is being challenged. Fertilizer-responsive crop varieties, supplementary irrigation water, and a favorable policy environment in Pakistan have induced fast growth in fertilizer demand. On the supply side, the availability of gas at low prices along with a favorable investment environment resulted in the buildup of excessive manufacturing capacity. But recently, a shortage of gas and monopolistic behavior has led to underutilization and greater imports. Restrictive laws put fertilizer processing and marketing in a few hands, which has also affected its efficiency. Moreover, the yield response of fertilizer has tapered off and per hectare use is fast reaching its optimal level. The existing policy environment leads to higher costs, inefficient use, and a heavy burden on the government as it charges one-fourth of the market price for feedstock gas used in fertilizer manufacturing. In addition, the government imports urea and absorbs the difference in international and domestic prices.

The imbalanced application of chemical fertilizers in India is widely blamed for low yields, poor soil health, pollution of water resources, and large public expenditures on subsidies. To address the issue, the government of India is investing in a large-scale, expensive program of individualizedsoil testing and customized fertilizer recommendations, with the hope that scientific information will lead farmers to optimize the fertilizer mix. We conducted a randomized controlled trial in the Indian state of Bihar in what we believe to be the first evaluation of the effectiveness of the program as currently implemented. We found no evidence of any impact of soil testing and customized fertilizer recommendations on actual fertilizer use or the willingness to pay for lacking nutrients (elicited using aBecker-DeGroot-Marschak mechanism). Several factors could be driving these results, including a lack of understanding, lack of confidence in the information’s reliability, or the costs of the recommended fertilizer mixes. We provide evidence that suggestslack of confidence is the main factor inhibiting farmers’ response

Development projects are generally subject to a potential tradeoff between sustainability and poverty reduction. Grants are also commonly assigned without a standardized criterion. This paper proposes an innovative scoring tool that combines both a risk and poverty scorecard to prioritize lending and grant allocation. We implement and test the instrument through a competitive fund for demand-driven projects in Central America intended to better link smallholder farmers to markets and improve their welfare. The evaluation results show that the highest-ranked projects generally have a larger economic impact on their beneficiaries than lower-ranked projects. We observe a larger effect on income, access to credit,and access to local markets, and the relative differences are stronger over time. The proposed scorecard tool is intended to better ensure the accountability and sustainability of development funds and can be easily adapted to different contexts