| Title |
Bayesian Probabilistic Projection of International Migration
|
|---|---|
| Published in |
Demography, September 2015
|
| DOI | 10.1007/s13524-015-0415-0 |
| Pubmed ID | |
| Authors |
Jonathan J. Azose, Adrian E. Raftery |
| Abstract |
We propose a method for obtaining joint probabilistic projections of migration for all countries, broken down by age and sex. Joint trajectories for all countries are constrained to satisfy the requirement of zero global net migration. We evaluate our model using out-of-sample validation and compare point projections to the projected migration rates from a persistence model similar to the method used in the United Nations' World Population Prospects, and also to a state-of-the-art gravity model. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| Croatia | 1 | 1% |
| Turkey | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 80 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 27% |
| Researcher | 14 | 17% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 14 | 17% |
| Unknown | 15 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 20 | 24% |
| Economics, Econometrics and Finance | 13 | 15% |
| Earth and Planetary Sciences | 5 | 6% |
| Mathematics | 5 | 6% |
| Psychology | 4 | 5% |
| Other | 18 | 21% |
| Unknown | 19 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 November 2016.
All research outputs
#6,943,315
of 25,416,581 outputs
Outputs from Demography
#1,275
of 1,994 outputs
Outputs of similar age
#75,027
of 279,317 outputs
Outputs of similar age from Demography
#12
of 22 outputs
Altmetric has tracked 25,416,581 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 279,317 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.