337 research outputs found
CMIP6 OSeaIce scripts
No full textThis repository provides the Python scripts to produce the figures of the study carried out in the framework of the EU Horizon 2020 OSeaIce project (Marie Slodowska-Curie project, grant agreement no. 834493) to refine the model projections of Arctic sea ice:
Docquier, D. and T. Koenigk (in review). Refinement of future Arctic sea-ice projections
Skilled migration: the perspective of developing countries
No full textThis chapter focuses on the effects of skilled migration on developing countries. We
first present new evidence on the magnitude of the”brain drain” at the international
level. Using a stylized model of education investment in a context of migration, we
then survey the theoretical and empirical brain drain literature in a unified
framework. Finally we use a particular specification of the model to discuss a
number of policy issues from the perspective of developing countries
Skilled migration: the perspective of developing countries
No full textThis chapter focuses on the effects of skilled migration on developing countries. We first present new evidence on the magnitude of the "brain drain" at the international level. Using a stylized model of education investment in a context of migration, we then survey the theoretical and empirical brain drain literature in a unified framework. Finally we use a particular specification of the model to discuss a number of policy issues from the perspective of developing countries.Migration; Brain Drain;
Silled migration : the perspectives of developing countries
No full textThis chapter focuses on the effects of skilled migration on developing countries. We first present new evidence on the magnitude of the “brain drain” at the international level. Using a stylized model of education investment in a contest of migration, we then survey the theoretical and empirical brain drain literature in a unified framework. Finally we use a particular specification of the model to discuss a number of policy issues from the perspective of developing countries
Liang Index to quantify ocean-atmosphere interactions
No full textThis repository provides the Python scripts to produce the figures of the study carried out in the framework of the JPI-Oceans / JPI-Climate ROADMAP project to better understand ocean-atmosphere interactions:
Docquier, D., S. Vannitsem, A. Bellucci (in review). The rate of information transfer as a measure of ocean-atmosphere interactions.
This research has received funding from the Belgian Federal Science Policy Office under contract B2/20E/P1/ROADMAP
Codes to compute Liang index and correlation for comparison study
No full textThis repository provides the Python scripts to produce the outputs and figures of the study carried out in the framework of the JPI-Oceans / JPI-Climate ROADMAP project to compare two causal methods:
Docquier, D., G. Di Capua, R. V. Donner, C. A. L. Pires, A. Simon, S. Vannitsem (submitted). A comparison of two causal methods in the context of climate analyses.
This research has received funding from the Belgian Federal Science Policy Office under contract B2/20E/P1/ROADMAP
Codes to compute Liang index and correlation for comparison study
No full text<p>This repository provides the Python scripts to produce the outputs and figures of the study carried out in the framework of the JPI-Oceans / JPI-Climate ROADMAP project to compare two causal methods:</p>
<p>Docquier, D., G. Di Capua, R. V. Donner, C. A. L. Pires, A. Simon, S. Vannitsem (submitted). A comparison of two causal methods in the context of climate analyses.</p>
<p>This research has received funding from the Belgian Federal Science Policy Office under contract B2/20E/P1/ROADMAP.</p>
Liang Index to quantify interactions between ocean heat budget terms
No full textThis repository provides the Python scripts to produce the outputs and figures of the study carried out in the framework of the JPI-Oceans / JPI-Climate ROADMAP project to better understand causal interactions between the different terms of the ocean heat budget:
Docquier, D., S. Vannitsem, A. Bellucci, C. Frankignoul (in review). Interactions between ocean heat budget terms in HighResMIP climate models measured by the rate of information transfer.
This research has received funding from the Belgian Federal Science Policy Office under contract B2/20E/P1/ROADMAP
OSeaIce post-processed data
No full textThese are the EC-Earth3 post-processed data that can be used with the associated Python scripts (https://doi.org/10.5281/zenodo.4291971) in order to produce the figures of the paper that summarizes the results arising from the sensitivity experiments carried out in the framework of the EU Horizon 2020 OSeaIce project (Marie Slodowska-Curie project, grant agreement no. 834493):
Docquier et al. (2020). Impact of ocean heat transport on the Arctic sea-ice decline: A model study with EC-Earth3. Accepted in Climate Dynamics
Brain Drain in Developing Countries
No full textBrain Drain in Developing Countries Frederic Docquier, Olivier Lohest, and Abdeslam Marfouk An original data set on international migration by educational attainment for 1990 and 2000 is used to analyze the determinants of brain drain from developing countries. The analysis starts with a simple decomposition of the brain drain in two multiplicative components, the degree of openness of sending countries (measured by the average emigration rate) and the schooling gap (measured by the education level of emigrants compared with natives). Yet recent theoretical studies emphasize several compensatory effects, showing that a limited but positive skilled emigration rate can be beneficial for sending countries (Commander, Kangasniemi, and Winters 2004; Docquier and Rapoport 2007; Beine, Docquier, and Rapoport 2001, forthcoming; Schiff 2005 provides a critical appraisal of this literature). However, without reliable comparative data Frederic Docquier (corresponding author) is a research associate at the National Fund for Economic Research; professor of economics at the Universite Catholique de Louvain, Belgium; and research fellow at the Institute for the Study of Labor, Bonn, Germany; his email address is docquier ires.ucl.ac.be. Olivier Lohest is a research is a researcher at the Institut Wallon de l'Evaluation, de la Prospective et de la Statistique, Regional Government of Wallonia Section I presents the data set on the brain drain, as measured by the emigration rate of post-secondary-educated workers, and describes the average brain drain from developing countries by income group and country size. Section II decomposes the brain drain into two multiplicative components: the degree of openness, measured by the average emigration rate of workingage natives, and the schooling gap, measured by the relative education attainment of emigrants compared with natives. 202 THE WORLD BANK ECONOMIC REVIEW The Docquier Marfouk (2006) study, which collected census, registry, and survey data from all OECD countries, enables the size of these biases for developing countries to be evaluated. 40 million) 1990 Worlda High-income countries Developing countries Low-income countries Lower medium-income countries Upper-medium-income countries Least developed countries Landlocked developing countries Small island developing economies Large developing countries (. Cross-Section Regression Results (2000 data) OLS-1 General model Variable Country size Native population (logs) Small island developing economies Level of development Proportion of post-secondary educated natives  100 (logs) GNI per capita (logs) Least developed country Oil exporting country Sociopolitical environment Political stability Government effectiveness Religious fractionalization Geographic and cultural proximity Distance from selectiveimmigration countries (logs) Distance from EU15 countries ( The analysis starts with a simple multiplicative decomposition of the brain drain into two components: degree of openness of sending countries, as measured by average or total emigration rate, and schooling gap, as measured by the relative education level of emigrants compared with natives
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