| Title |
The Gravity of High-Skilled Migration Policies
|
|---|---|
| Published in |
Demography, March 2017
|
| DOI | 10.1007/s13524-017-0559-1 |
| Pubmed ID | |
| Authors |
Mathias Czaika, Christopher R. Parsons |
| Abstract |
Combining unique, annual, bilateral data on labor flows of highly skilled immigrants for 10 OECD destinations between 2000 and 2012, with new databases comprising both unilateral and bilateral policy instruments, we present the first judicious cross-country assessment of policies aimed to attract and select high-skilled workers. Points-based systems are much more effective in attracting and selecting high-skilled migrants than requiring a job offer, labor market tests, and shortage lists. Offers of permanent residency, while attracting the highly skilled, overall reduce the human capital content of labor flows because they prove more attractive to non-high-skilled workers. Bilateral recognition of diploma and social security agreements foster greater flows of high-skilled workers and improve the skill selectivity of immigrant flows. Conversely, double taxation agreements deter high-skilled migrants, although they do not alter overall skill selectivity. Our results are robust to a variety of empirical specifications that account for destination-specific amenities, multilateral resistance to migration, and the endogeneity of immigration policies. |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 21% |
| United States | 4 | 14% |
| Canada | 2 | 7% |
| Italy | 1 | 3% |
| Turkey | 1 | 3% |
| Finland | 1 | 3% |
| Australia | 1 | 3% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 66% |
| Scientists | 8 | 28% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | <1% |
| Unknown | 211 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 24% |
| Student > Master | 28 | 13% |
| Researcher | 23 | 11% |
| Student > Bachelor | 15 | 7% |
| Student > Doctoral Student | 14 | 7% |
| Other | 39 | 18% |
| Unknown | 43 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 69 | 33% |
| Economics, Econometrics and Finance | 43 | 20% |
| Business, Management and Accounting | 17 | 8% |
| Unspecified | 7 | 3% |
| Arts and Humanities | 7 | 3% |
| Other | 19 | 9% |
| Unknown | 50 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2021.
All research outputs
#821,511
of 25,540,105 outputs
Outputs from Demography
#232
of 2,007 outputs
Outputs of similar age
#16,957
of 322,893 outputs
Outputs of similar age from Demography
#5
of 23 outputs
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